StackAdapt RFI/RFP Response Portal

StackAdapt offers both SS & Managed/Hybrid services; Agencies determine which offering they would prefer to use. Training and certification can be achieved via physical trainings or via StackAdapt Academy.

StackAdapt is an end-to-end marketing platform built by traders that uniquely bridges adtech and martech ecosystems; enabling addressable, measurable campaigns across historically disconnected channels. Over time, we've grown our abilities as we have the scale and reach that an enterprise DSP requires, with the agility to support and co-develop to allow agencies to drive their own differentiation, performance, and revenue. Our key differentiators include: Bridging Adtech and Martech: allowing advertisers to seamlessly activate first-party data across programmatic channels, email, and even direct mail channels. Artificial Intelligence Led: Built from the ground up, StackAdapt leverages unique Large Language Models and bespoke algos to deliver best in class campaign results. In addition, StackAdapt's focus on generative Agentic AI is resulting in time savings, performance gains, and unique insights. (See AI Tab!) Verticalized Solutions: Custom-tailored capabilities for verticals like Finserv, Tech, Telco, Travel, and Healthcare - with vertical specific identity graphs built for real-time targeting, measuring and reporting in-platform. Measurable Outcomes Focus: Platform and services are designed to track real business KPIs with ability to optimize and drive outcomes across both efficiency and effectiveness KPIs in platform. Innovation & Co-development: Offering joint roadmap development powered by embedded engineering resources to co-develop solutions. Portfolio Approach to Addressability: Our DUID framework, Geo-Addressability (including scoped roadmap to Zip+4 support), and Advanced Contextual Targeting provide robust identity-resilient activation paths. This positions StackAdapt as a performance-first DSP with flexible integration models, enterprise-grade infrastructure, and future-facing identity solutions.

Yes, we publish a quarterly externalized roadmap with upcoming launches. Current version is here (https://pages.launch.stackadapt.com/quarterly-overview-q1-2025), and highlighting some upcoming launches in 2H for review Generative Artificial Intelligence: • Upgrading AI capabilities to allow for customers to talk to their data and ask questions / interact • Platform Actions – AI will be actionable and complete platform actions based on user inputs • Allow agentic AI to assist users in planning activities Core Platform: • Allow for the export of a forecast into a media plan template • Programmatic Direct Mail: Ability to send a direct mail postcards and letters directly from StackAdapt based on interaction with media campaigns or other criteria • CPA based bidding Creative: • Self service video builder allowing for creation of video and CTV ads based on owned content, generative AI and Feed Content • Brand Profile: Enables personalization of generative AI assets based on brand voice, messaging, and assets Identity: • ID5 Identity integration Measurement: • Engagement lift reporting – identifies whether users exposed to campaigns are more likely to browse content related to campaign topics, compared to non-exposed • Expansion of vertical based measurement solutions including travel, healthcare, and B2B

Here are StackAdapt’s largest product and feature releases in the last 12 months: Email Marketing and Data Hub Launch: StackAdapt introduced email marketing capabilities and the Data Hub, enabling marketers to unify their data and execute full-funnel campaigns—including email—directly from the platform. It's possible to connect email actions (including opens, etc) to a programmatic strategy for the first time. First-Party Data Integrations : StackAdapt expanded integrations with strategic partners like Snowflake, Salesforce, and Hubspot, making it easier for clients to leverage their first-party data within the platform. This includes automated pixel onboarding and audience creation, especially for platforms like Shopify. StackAdapt Derived User Identity (DUID) Graph: Ongoing investment in StackAdapt’s internal identity technology, which is not reliant on third-party cookies, ensures strong performance and resilience as the industry moves toward a cookieless future -- allowing for unique household frequency capping across all channels including CTV. Vertical Solutions: Travel: • Adara Impact Measurement: Enables clients to connect billions of data points across the travel ecosystem to measure campaign-driven search, bookings, website visits, and hotel revenue. • Travel Lift Study: Demonstrates the impact of ad spend on travellers, showing incrementality through metrics like destination favorability, travel intent, and booking consideration. • Destination Visitation Measurement: Measures the impact of campaigns on driving visits to destinations using PlaceIQ and Adsquare. • Marriott Media Network Partnership: Allows advertisers to reach travellers at various journey stages via Marriott’s owned and operated inventory. Healthcare: • PCAI (Privacy-Compliant Audience Intelligence): Allows healthcare advertisers to reach individuals searching for healthcare topics online, operating outside the scope of HIPAA as it doesn’t store user-level data. • In-Platform Healthcare Offerings: Expanded to include AI Brand Lift, 3rd-party audience segments (off-the-shelf, custom, NPI targeting), and Doceree Audience Quality Measurement. • Prescription Lift: Measures the impact of campaigns on prescription activity. B2B • StackAdapt ABM Targeting and Measurement (US Only): Proprietary in-platform identity graph for precise account-based marketing targeting and measurement. • Multiple B2B Data Partner Integrations: Expanded targeting options with partners like ZoomInfo, Bombora, HG Insights, Netwise, and Dunn & Bradstreet. • IP Flow (Global) (Beta): New targeting and measurement capabilities for B2B audiences. • Vertical Campaign Cookbook (Beta): A new feature providing tailored, vertical-specific campaign strategy recommendations to simplify and optimize campaign planning.

StackAdapt supports many emerging media formats including CTV, Audio, DOOH, In-Game as well as first to market opportunities like email and direct mail.

YES; StackAdapt has a truly robust self-serve planning tool that allows users to fully conceptualize the reach, frequency, spending potential, eCPMs/eCPCs of a campaign after inputting specific campaign details. Said details can include geo, demo, audience targeting segments, budgets, flight dates, but not all are mandatory in order to receive a forecast.

While StackAdapt supports delivery in the majority of global markets, there are select non-supported or restricted geographies due to platform-level compliance limitations (e.g. data residency laws), lack of verified inventory or contextual signal coverage, local identity and consent frameworks not yet integrated Current markets with limited or paused support include: -Mainland China (mainland) -Russia -Iran -North Korea - Select countries in Africa and Central Asia (based on inventory and compliance constraints

Browsing Audience (Proprietary): -Browsing Audience is a behavioral targeting method that allows you to create audience segments based on a topic the audience is interested in. With this feature, you specify the topics that are relevant to your campaign. The machine learning algorithm in StackAdapt will then develop an audience that consists of users who have shown the most interest in those areas. You can leverage the resulting audience for any of your campaigns. B2B/ABM Audiences: -Our StackAdapt ABM Targeting and Measurement solution enables users to reach account-based audiences. These audiences are constructed from an account list, a list of company or organization domains. Depending on the provider and market these audiences can be further refined by relevant ABM attributes – both at the firmographic and the persona level – these attributes can also be used to construct highly relevant account-based audiences with no need for an account list. Other Verticalized Audiences based on licensed proprietary signals include Healthcare, Travel, Automotive, and Retail How StackAdapt harnesses 1P & 3P data differently: beyond simply licensing segments for use in media buys, StackAdapt analyzes data signals to build proprietary targeting solutions such as predictive lead scoring, AI-based contextual targeting, and more. Our integrations with partners like Snowflake also do not require the use of a data scientist to generate audience segments, thus lowering the barrier to entry to using these advanced tools.

StackAdapt is a supply-agnostic DSP, meaning it does not have exclusive access to open web inventory for display, video, or mobile channels. Instead, StackAdapt integrates with a wide range of major supply partners and ad exchanges to ensure broad access to high-quality inventory across all major formats, including display, video, native, CTV, audio, in-game, and DOOH. However, StackAdapt does offer some unique opportunities in specific areas: 1. DOOH (Digital Out-of-Home): StackAdapt has exclusive access to certain DOOH inventory, such as national reach through The Sphere in Las Vegas, which is not available through other DSPs. 2. Open Web Inventory: For display, video, and mobile, StackAdapt does not feature exclusive inventory relationships. This approach ensures that media spend is directed toward the top-performing suppliers, providing clients with flexibility and scale. 3. Mobile App and Blended In-Game: StackAdapt provides access to leading in-game advertising partners and offers both display and video blended in-game formats across mobile and PC. Only some of this inventory is exclusive to StackAdapt, including certain requirements with Frameplay inventory that can be created as a custom deal at the campaign level. 4. Private Marketplace (PMP) and Programmatic Guaranteed (PG) Deals: StackAdapt offers curated vertical and inventory packages, as well as the ability to request custom deals. While these are not exclusive to StackAdapt, the platform provides streamlined access and negotiation support for premium inventory. In summary, StackAdapt’s unique integrations are primarily in the DOOH space, while for other channels, it maintains a partnership-agnostic approach to maximize inventory quality and scale.

StackAdapt has a verticalized focus and builds partnerships across the verticalized ecosystem to provide differentiated measurement and insights. Vertical Solutions Travel: • Adara Impact Measurement: Enables clients to connect billions of data points across the travel ecosystem to measure campaign-driven search, bookings, website visits, and hotel revenue. • Travel Lift Study: Demonstrates the impact of ad spend on travellers, showing incrementality through metrics like destination favorability, travel intent, and booking consideration. • Destination Visitation Measurement: Measures the impact of campaigns on driving visits to destinations using PlaceIQ and Adsquare. • Marriott Media Network Partnership: Allows advertisers to reach travellers at various journey stages via Marriott’s owned and operated inventory. Healthcare: • PCAI (Privacy-Compliant Audience Intelligence): Allows healthcare advertisers to reach individuals searching for healthcare topics online, operating outside the scope of HIPAA as it doesn’t store user-level data. • In-Platform Healthcare Offerings: Expanded to include AI Brand Lift, 3rd-party audience segments (off-the-shelf, custom, NPI targeting), and Doceree Audience Quality Measurement. • Prescription Lift: Measures the impact of campaigns on prescription activity. B2B • StackAdapt ABM Targeting and Measurement (US Only): Proprietary in-platform identity graph for precise account-based marketing targeting and measurement. • Multiple B2B Data Partner Integrations: Expanded targeting options with partners like ZoomInfo, Bombora, HG Insights, Netwise, and Dunn & Bradstreet. • IP Flow (Global) (Beta): New targeting and measurement capabilities for B2B audiences. • Vertical Campaign Cookbook (Beta): A new feature providing tailored, vertical-specific campaign strategy recommendations to simplify and optimize campaign planning.

In-Platform Reporting Dashboard • Access comprehensive, customizable reporting for all your campaigns—across native, display, video, connected TV, audio, in-game, and DOOH—directly within StackAdapt. • Analyze metrics by channel, goal, client, or platform, and schedule or export reports as needed. Footfall Attribution • Measure in-store visits driven by your digital campaigns using third-party partners (PlaceIQ and Adsquare). • Get insights like total visits, projected visits, visitation lift, and trends by time of day or day of week. Brand Lift Studies • Run studies to measure the impact of your campaigns on brand awareness, consideration, and other upper-funnel metrics. Reporting Integrations • Seamlessly connect StackAdapt data to external BI and visualization tools for unified, cross-channel reporting: • Looker Studio (Google Data Studio) • Funnel.io • TapClicks • Supermetrics (for Google Sheets and Data Studio) • DOMO • Agency Analytics • Adverity • Adriel • NinjaCat • Google Analytics 4 • Datorama (via CSV upload) • Use the StackAdapt API for custom reporting and dashboard solutions. Cross-Channel Attribution and Analytics • Leverage advanced analytics and attribution tools to get standardized metrics and a holistic view of campaign performance across all channels. Unified Analytics Dashboard • View and compare performance across multiple channels and campaigns in one place, making it easy to optimize your full-funnel strategy.

Audience Insights • Found under the Reporting tab, Audience Insights provides data visualizations on your target audience’s engagement with your ads. • Breaks down performance by location, demographics (age, gender), reach, frequency, and interest intent topics. • Allows you to compare your audience to the general population, understand unique interests, and optimize creative and targeting strategies. • Includes location maps, interest cards, demographic breakdowns, channel reach, and frequency metrics. • Reports can be exported as raw data (Excel) or PDF. Reporting Dashboard • Offers customizable reports across multiple dimensions: advertisers, campaigns, creatives, supply sources, geos, domains, and more. • Allows you to layer in custom metrics and attributes (e.g., impressions, clicks, CTR, devices, geography). • Features folders for delivery, inventory, audience, conversion, strategy, measurement, and data & insights. • Enables real-time optimization by pausing or enabling underperforming domains, geos, audiences, or creatives directly from the dashboard. • Reports can be saved as templates and exported for further analysis. Data Hub Analytics • Provides performance analytics for any segment or list you create, including attributed revenue, cost, and ROI. • Lets you compare different audiences and understand which segments yield the most conversions. • ROI is calculated on a user-centric basis, tracking total impressions and conversions across all campaigns for each segment. • Data can be exported as CSV for integration with other tools. Attribution & Measurement • Conversion tracking is available via StackAdapt pixels or integrations (e.g., Shopify, HubSpot). • Conversion reports break down view-through and click-through conversions, as well as IP and cookie-based conversions. • Measurement solutions include brand lift, incremental reach, first-party data attribution, footfall attribution, and ABM measurement. • These tools help you assess campaign effectiveness, track in-store visits, and measure unique audience exposure. Additional Tools • Forecasting: Predicts campaign performance based on targeting details. • Benchmarks: Provides impression and performance benchmarks to identify high-value opportunities. • Creative Hub: Manages and generates ad creatives, including AI-powered copy suggestions. All these tools are designed to help you deeply understand your campaign performance, optimize in real time, and demonstrate ROI. You can export most reports for further analysis or integration with external platforms.

1. Create/Edit • Create or edit large volumes of Advertisers, Campaign Groups, and Campaigns using .xlsx upload sheets. • Export existing campaign hierarchies for bulk editing. • Link assets using unique temp_id fields to maintain hierarchy relationships. • Receive detailed success and error reports after processing uploads. 2. Bulk Edit Organization • Edit Advertiser and Campaign Group associations. • Edit Campaign names in bulk. 3. Bulk Edit Creative • Add, edit, or delete multiple creatives at once. • Edit creative details (e.g., name, click URL, sponsored by) for up to 25 creatives at a time. • Upload images/videos, tags, or import from the Creative Library. • Use Excel templates for bulk creative updates. • Find and replace text across multiple creatives. 4. Bulk Bid Changes • Create or edit bid factors and creative tactics for individual or multiple campaigns. 5. Bulk Edit Audience Targeting • Add or remove audience segments across multiple campaigns. • Change targeting types (prospecting/retargeting) and manage exclusion segments. 6. Bulk Geo Uploads • Upload up to 20,000 geo locations at once (cities, US counties, regions, countries) using Excel templates. • Match, review, and correct geo locations before applying them to campaigns. 7. Bulk Edits for Creative Library • Edit details for up to 25 creatives simultaneously within the Creative Library. • Apply changes to specific campaigns if creatives are used in multiple places.

Hierarchy Overview: 1. Advertiser 2. Campaign Group (CG) 3. Campaign 4. Flight (within Campaigns or Campaign Groups) You can set budgets at both the Campaign Group and Campaign levels (and at the flight level within each), and the ability to control both concurrently depends on your chosen budget allocation method. Dynamic allocation methods centralize budget control at the Campaign Group level, while Standard allocation allows for manual control at both levels, with the group budget acting as the cap.

StackAdapt currently supports forecasting, planning, activation, and reporting across all channels at the following geographic levels: • Country, region, state/province, city, and postal code (incl. Zip+4 in development) • Geo-coordinates and polygon-based targeting • Support for H3 hexagonal grid-level geotargeting is in roadmap review, aligned to increased demand from agencies with advanced geospatial use cases (e.g. franchise QSR, political, healthcare). We anticipate MVP feasibility within 90–120 days, contingent on internal geospatial infrastructure readiness and mapping vendor support. In parallel, clients can upload shapefiles or draw custom polygons today, with reporting granularity customizable to match geo input.

StackAdapt responds to a bid request in real time—specifically, the entire process from a user visiting a website to an advertiser serving an ad happens in just 100 milliseconds. This rapid response ensures that ads are delivered to the right audience at the right moment.

Frequency Reporting is available at All levels of the campaign hierarchy Access unique reach (unique impressions) and frequency metrics through the Reach and Frequency report in the platform. These metrics show how many unique users were reached and how often they saw your ads over a selected period. Unique reach and frequency reporting is available across all programmatic channels offered by StackAdapt, including native, display, video, connected TV (CTV), audio, in-game, and digital out-of-home (DOOH). Incremental Reach Measurement and Forecasting (comparing programmatic to linear TV), is available in the United States.

Yes - Adding a seperate tab with all log level dimensions. There are no limitations on impression logs -- conversion files will redact IP address to the 3rd octet

Yes. At the time of each bid request, the ML model evaluates multiple signals (such as user behavior, inventory quality, device type, and more) to determine the optimal bid price. The system automatically adjusts bids to maximize the likelihood of winning high-value impressions while minimizing costs.This process helps ensure your budget is spent efficiently, focusing on inventory and audiences most likely to deliver your desired outcomes (e.g., clicks, conversions, engagements).

With StackAdapt, you can leverage bid modifiers to build your own custom algorithm directly within the platform. This gives you flexibility and control, while maximizing efficiency and savings. 1. Creative 2. Date 3. Day of Week 4. Deal or Deal Group 5. Device 6. Device OS 7. Domain 8. Domain Category 9. Geo 10. Postal Code 11. Retargeting 12. Segment 13. Supply Source 14. Supply Type 15. Time of Day StackAdapt offers a robust suite of advanced optimization controls to help you maximize campaign performance and efficiency. Volume Control: Manage and cap percentage of impressions allocated to specific devices, supply sources, or domains by setting daily or lifetime caps, and use dayparting to control delivery by hour and day of the week. Custom Goals: Set specific performance goals in the Bid & Goal section, such as CPC, CTR, CPCV, or CPA targets. Bid Modifiers (Bid Factoring, see above): Apply bid factors to adjust bids for specific dimensions Bid Lists:Include or exclude specific domains, categories, or supply sources based on performance data. MultiGoal: The Multi Goal feature allows you to set and optimize for multiple key performance indicators (KPIs) within a single campaign, rather than being limited to just conversions or awareness & engagement. You can now choose from a wider range of goals, such as Unique Reach, eCPM, CPC, CTR, CPE, ROAS, and more. The available goals depend on your campaign type. You can add up to 5 goals per campaign and set a target value. You can enable ""strict"" for your top priority goal to ensure it's met before optimizing for others. From there, you can drag and drop other goals in priority order as needed.

StackAdapt’s philosophy on AI is centered around leveraging artificial intelligence to enhance user experience, drive innovation, and deliver measurable results for clients. AI and machine learning are not just features—they are foundational to the platform’s core, powering everything from real-time bidding and audience targeting to campaign optimization and creative generation. Here’s how StackAdapt approaches AI and its future impact: AI as a Core Foundation: AI and machine learning are deeply embedded in StackAdapt’s platform, enabling smarter, faster, and more effective programmatic advertising. This includes optimizing bids in real time, refining audience segments, and improving attribution models. Continuous Innovation: StackAdapt is committed to staying “on the offensive” with AI, actively innovating and incorporating both third-party and proprietary AI technologies into its products and business operations. The company sees AI as a key driver for automating processes, simplifying workflows, and accelerating execution. Human + AI Collaboration: While AI tools are used to generate creative and contextual suggestions, StackAdapt emphasizes the importance of human oversight. AI is seen as a collaborator—drafting content and providing insights, but always subject to human review for quality, accuracy, and compliance. Client-Centric and Ethical Use: StackAdapt’s AI development is guided by a client-centric approach, focusing on delivering outcomes and supporting clients from strategy to execution. The company is also committed to ethical AI use, ensuring compliance with privacy, security, and anti-bias standards. Future Vision: StackAdapt aims to evolve into an AI company, proactively solving problems and creating disproportionate value through automation and intelligent technology. The goal is to build an integrated platform that unifies paid and owned media activation, making marketing more intuitive and effective.

AI plays a central role in StackAdapt’s bidding algorithms, driving performance and efficiency in programmatic advertising. Here’s how AI is used and how its application has evolved: Core Use in Real-Time Bidding (RTB): • AI and machine learning (ML) algorithms evaluate each ad impression in real time, analyzing factors like IP address, geolocation, cookie data, and user agent. • These algorithms determine the optimal bid for each impression within milliseconds, ensuring ads are shown to the most relevant audiences and maximizing return on investment. Continuous Optimization: • AI models are designed to optimize towards specific campaign goals, such as hitting KPI targets, improving ROAS, or targeting the right audience. • The Data Science team at StackAdapt continuously monitors and improves these models, using historical data and back-testing to refine bidding strategies. Evolution Over Time: • Initially, StackAdapt’s approach involved basic statistical models to track domain performance and inform bidding. • Over time, the platform has integrated more sophisticated AI and ML techniques, enabling advanced forecasting, new targeting methods, and smarter, data-driven decision-making. • The evolution includes the deployment of features like performance-based budget allocation, lookalike modeling, and contextual targeting, all powered by AI. No Client Data Used: • Importantly, StackAdapt’s AI bidding algorithms do not use client data for training. Instead, they rely on StackAdapt’s own data, such as bid request and impression-level data. Ongoing Innovation: • The Data Science team collaborates closely with engineering and product teams to ensure that AI-driven bidding remains at the forefront of industry standards, adapting to new challenges and opportunities as they arise.

Yes, StackAdapt leverages AI and machine learning for audience data and segment creation in several key ways: Browsing Audiences: StackAdapt uses sophisticated AI and machine learning algorithms to analyze user behavior and content consumption. By specifying relevant topics or keywords, the platform identifies and builds audience segments of users who have shown the most interest in those areas. This process is powered by AI, ensuring high-intent, customizable audiences. Page Context AI: This feature uses AI to scan and understand the context of web pages, allowing ads to be placed in the most relevant environments. By analyzing static text content, Page Context AI helps ensure your ads reach audiences in the right context at scale. Segment Creation and Management: Within the platform, users can create segments using rules based on lists, profile properties, and events. AI assists in processing and organizing this data, making it easier to target or exclude specific audiences. For example, users can create B2B audiences using Dunn & Bradstreet data--- and create segments based on company size, role, type of company Lookalike Audience Expansion: AI is used to find new users who mimic the online behavior of your existing customers, expanding your reach efficiently. Integration with Data Partners: StackAdapt’s integrations with platforms like Salesforce Audience Studio also benefit from AI-driven data modeling and lookalike modeling, further enhancing audience targeting capabilities.

No. StackAdapt’s AI bidding algorithms do not use client data for training. Instead, they rely on StackAdapt’s own data, such as bid request and impression-level data.

StackAdapt has built a fully generative AI companion, : Ivy™ designed to streamline your workflow and enhance your experience within the platform. Direct Access: If enabled for your account, you'll see the Ivy™ icon at the bottom right of your StackAdapt screen. Reporting Insights: Ivy lets you query your campaign data in real time. You can ask about specific metrics, performance indicators, or campaign results, and Ivy will quickly retrieve and present the relevant information—no need to manually navigate reporting sections. Platform Guidance: Ivy serves as a comprehensive knowledge base, answering questions about platform setup, campaign strategies, technical operations, and more. It’s especially helpful for both new and advanced users. Audience Recommendations: Ivy can suggest interest-based audience topics to help you optimize targeting strategies for your campaigns. Automated Content Generation: Within the Creative Builder, Ivy can generate new headlines and descriptions or create variations of existing content, helping keep your ads fresh and engaging.

To ensure that StackAdapt’s AI models are compliant with industry standards, client contracts, and regulations in bidding, we follow a multi-layered approach: Adherence to Industry Standards and Regulations • Our Platform Quality team works closely with legal counsel to ensure that ad policies and AI-driven processes align with global regulations and local laws. • We continuously audit campaigns and inventory to maintain a brand-safe, fraud-free environment, and to ensure compliance with industry best practices. Contractual and Legal Safeguards: • Clients agree to our Standard Terms of Service or, if negotiated, a Master Services Agreement (MSA), both of which outline the appropriate use of the platform and our commitment to service quality and compliance. • Any changes to these agreements are reviewed by our legal team to ensure that all terms, including those related to AI and data use, are compliant and mutually agreed upon. Summary of Key Contractual/Legal Language: • Client data is not used for AI model training or operation. • AI outputs are provided “as is” without warranty, and clients are advised to seek independent advice before acting on AI-generated insights. • Use of AI tools must comply with privacy, security, and ethical standards, and must not involve confidential or personal client data unless explicitly permitted. AI Model Development and Data Usage: • Our AI and machine learning models for bidding and campaign optimization do not use client data as defined in our agreements. Instead, they rely on bid request data and impression-level data (such as IP address, cookie ID, user agent, referral URL, etc.). • For features like Browsing Audiences and Attribution Models, only StackAdapt-collected data (not client-provided data) is used to train and operate AI models. • This approach ensures that client confidential information and personal data are not used in AI model development, in line with contractual obligations and privacy regulations. Ongoing Monitoring and Education • The Platform Quality and Legal teams provide ongoing education to internal teams and clients about compliance, privacy, and policy requirements. • We monitor changes in the legal landscape around AI and update our practices and agreements as needed.

StackAdapt validates the performance of AI models before deploying them in live environments through a structured, multi-step process: Goal Definition: The team first outlines the specific goal of the AI tool or model, often based on identified pain points or suggestions from other teams. Brainstorming and Approach Selection: Multiple approaches to achieve the goal are brainstormed, and promising methods are identified. Historical Backtesting: The selected approaches are rigorously back-tested using historical data to evaluate their effectiveness and predictive power. Slow Deployment: The model is initially deployed in a limited number of production test cases. This controlled rollout allows for close monitoring and early detection of any issues. Full-Scale Deployment: Once validated in test cases, the model is gradually rolled out to a broader set of campaigns or users. Monitoring and Continuous Improvement: After deployment, the model’s performance is continuously monitored. The team loops back to earlier steps as needed, making improvements based on real-world results and feedback. This iterative process ensures that only well-tested, high-performing AI models are fully deployed, minimizing risk and maximizing campaign performance. See less

The process is similar to the AI validation and accuracy process. We first ensure the goal is defined, brainstorm and finalize a selected approach, back test the models, start with a percentage of overall impressions to test, full scale deploy, and continue to monitor and improve models over time

In the validation/refinement approaches detailed in row 8, A/B testing is deployed during the "slow" or limited deployment phase. The enhancements or new model is initially deployed to a small subset of production cases. This allows for real-world A/B testing, where the performance of the new model is directly compared to the existing one in a controlled environment.

StackAdapt has robust processes in place to monitor and address AI model drift or degradation: Continuous Monitoring and Improvement: The Data Science team follows a cycle of monitoring and continuous improvement for all AI-enabled, data-driven capabilities. After deployment, models are closely monitored for performance, and improvements are made as needed. Back-Testing and Slow Deployment: Before full-scale deployment, new AI tools and models are back-tested and initially rolled out to a limited set of production test cases. This approach helps identify early signs of drift or degradation. Collaboration with Engineering: The Data Science team works closely with engineering to implement and monitor machine learning algorithms in production, ensuring any issues are quickly identified and addressed. Outcome Integration: For certain AI-powered metrics (e.g., Adelaide Attention Unit), models are routinely updated using business outcome data such as brand lift and sales, ensuring ongoing relevance and accuracy. Human Oversight: AI-generated outputs are subject to human review and modification before being finalized, ensuring that any degradation in quality is caught before impacting clients. These processes ensure that StackAdapt’s AI models remain accurate, effective, and aligned with business goals, with mechanisms in place to detect and remediate any drift or degradation.

StackAdapt has several safeguards in place to prevent erroneous bids due to AI model inaccuracies: Manual Auditing and Quality Control: The Platform Quality Team manually audits all domains available in StackAdapt, ensuring that only high-quality inventory is bid on. This reduces the risk of AI models bidding on low-quality or fraudulent inventory. Brand Safety Partnerships: StackAdapt partners with DoubleVerify and Geo-Edge to monitor inventory traffic and ad tags for fraud, malware, and data leakage. These partnerships provide an additional layer of verification beyond AI predictions. Machine Learning Monitoring: For whitelisted domains, StackAdapt uses machine learning to detect suspicious patterns in impressions, clicks, and engagements. This helps catch anomalies that could indicate model errors or fraudulent activity. Human Oversight: While AI and machine learning drive bidding optimizations, human review is integral—especially for campaign setup, creative approval, and compliance checks. This ensures that final decisions are not solely reliant on AI outputs. Post-Bid Analysis: StackAdapt conducts post-bid analysis with DoubleVerify to confirm that user actions are authentic and ads are viewable and fraud-free, catching any issues that may have slipped through initial AI-driven processes. These combined measures ensure that AI-driven bidding is closely monitored, verified, and supplemented by human expertise, minimizing the risk of erroneous bids.

Yes! StackAdapt offers access to a wide array of unique data sources and providers. Exclusive Integrations: - Partnership with 3rd Party provider signals allowing for US Traveler targeting based on real transaction data including intent spend, origin location and spend category. -Impact Measurement: Measures the campaign impact across the entire travel ecosystem, connecting billions of data points from leading travel brands to attribute outcomes like bookings, website visits, and hotel revenue Custom Solutions: - Integrate 1PD with exclusive 3rd party data for precise targeting and LAL Modeling Proprietary In Platform Solutions: - Stack Adapt's in house B2B graph and Account Based Marketing targeting capabilities provide best-in-class targeting (company size, company, level of seniority, etc) with more granular user-level reporting and minimal data loss.

Yes, StackAdapt has many custom audience segmentation tools available within the UI: CRM Audience Device ID Audience IP Audience: • Upload lists of IP addresses to focus campaigns on users from specific physical locations or organizations. ISP Audience: • Target users based on their Internet Service Provider or network name. • Ideal for B2B or competitive conquesting strategies. Location Audience: • Upload latitude/longitude coordinates to build audiences based on users’ presence within a specific geo-radius. Browsing Audience: • Create behavioral segments based on users’ interests and online activity. • Specify topics relevant to your campaign, and StackAdapt’s machine learning builds the audience. Combined Audience: • Overlap multiple existing audience segments to refine targeting (e.g., users interested in both hiking and adventure travel). Custom Audience Segments: • Build segments using AND/OR logic with rules based on lists, profile properties, and profile events. • Supports advanced segmentation using imported data, event triggers, and custom attributes. Integration Audiences (e.g., Shopify, HubSpot, Salesforce): • Connect your e-commerce or CRM platform to create dynamic audiences such as: Window Shoppers, Abandoned Cart, Abandoned Checkout, First-time Purchasers, Repeat Purchasers Page Context AI Audience: • Target users based on the context of the pages they visit, aligning ads with relevant content. Audience Exclusion: • Exclude specific segments from targeting to refine reach and avoid overlap.

StackAdapt offers several tools and resources to help discover and target diverse, underrepresented audiences: Minority-Owned Publisher Deals: StackAdapt has curated deals with domains and apps owned by cultural minorities—including but not limited to Hispanic/Latinx, Asian, Black, and LGBTQ communities. These deals allow you to broaden your reach and engage with audiences from underrepresented groups. To leverage these, simply contact your StackAdapt Representative. Third-Party Audience Catalogue: Our platform provides access to a wide range of third-party audience segments, including those focused on multicultural and diverse demographics. This catalogue is available directly from the Audiences page, with no additional paywall. Custom Audience Building: You can create custom audience segments using firmographic, demographic, and technographic data. This flexibility allows you to tailor campaigns to reach specific underrepresented groups based on company size, industry, job title, and more. Geo-Targeting and Contextual Targeting: Utilize geo-targeting to focus on regions with higher concentrations of diverse populations, and contextual targeting to reach users consuming content relevant to specific cultural or community interests.

Pixel Based Audiences: StackAdapt supports pixel based 1st party data audiences through the use of StackAdapt Universal Pixel. This pixel supports retargeting audiences, and custom rulesets (visited certain pages on a site but not others) 1PD CRM: Pixel integrations: Segment, Snowflake, Salesforce, Shopify, Adobe. Details in Row 51

Yes - StackAdapt has a proprietary audience graph called the StackAdapt Derived User Identity (DUID) Graph. Over the last 5 years, our Engineering and Data Science teams have been developing and enhancing our internal ID graph which is not reliant on third-party cookies. The DUID graph uses a dynamic algorithm that evaluates and groups identifiers together to create a unified view of the user. By having an ID graph that is composed of Probabilistic (derived by StackAdapt) and Deterministic (such as Liveramp’s Ramp ID and Experian's LUID) sources, StackAdapt is able to offer a strong balance of accuracy and scale when identifying users in the current state and when cookies are deprecated. By owning the graph, StackAdapt is able to consistently make improvements, leading to better performance across all campaigns. More about DIUD: 1.) The DUID Graph is developed and maintained internally by StackAdapt’s Engineering and Data Science teams. 2.) It is not reliant on third-party cookies and uses a dynamic algorithm to group identifiers, creating a unified view of the user. 3.) The graph combines both Probabilistic IDs (derived by StackAdapt) and Deterministic IDs (such as Liveramp’s Ramp ID and Experian's LUID) for a balance of accuracy and scale. 4.) We are in the process of adding additional alternative identifiers into the graph, such as ID5 and First ID. 5.) By owning and continuously improving this graph, StackAdapt enhances campaign performance and future-proofs its targeting capabilities. In addition, we have our own Page Context AI built for targeting desired users without any dependencies on cookies or other IDs.

Yes, we have integrations with a growing list of RMNs for both targeting and measurement in the US including Roundel, Costco, Walgreens, Instacart, DoorDash, Dollar General, Shipt, and United Airlines (Kinective). Integrations coming in the coming months include Albertsons, AD USA, and The Home Depot. StackAdapt is also pursuing RMN partnerships internationally with the UK coming next (scoping with Tesco, Sainsbury, and Co-op) and AU thereafter (Coles Group). We also have integrations with purchase/transaction based data providers including Affinity Solutions, Commerce Signals, Attain, Alliant, Circana, Scanbuy, Think Data Group and Nielsen

Yes, StackAdapt offers several native integrations with CRM systems, including Salesforce and Segment. Here’s a breakdown: 1. Salesforce Integrations: • Salesforce Sales Cloud: Import data from Salesforce Sales Cloud directly into StackAdapt to create CRM audience segments for targeting, retargeting, or exclusion in your campaigns. • Salesforce Data Cloud (CDP): Activate CRM data from Salesforce Data Cloud. Segments shared from Salesforce are dynamically updated in StackAdapt. • Salesforce Object Unification: StackAdapt unifies Salesforce Lead and Contact objects into a single customer profile using email as the common identifier. 2. Segment Integration: • StackAdapt has a Client-Side Pixel integration allowing clients to map all track events and page views from Segment to StackAdapt. This enables the creation of lookalike and retargeting audiences, as well as conversion tracking. • There is a Server To Server Integration allowing the forwarding of Segment events directly to StackAdapt, bypassing the need to install a SA pixel on a client site -- ideal for generating retargeting and lookalike audiences, tracking conversions and measuring ROAS. 3. Shopify: The StackAdapt app is available in the Shopify App store, and once installed, it automatically places the StackAdapt Pixel on a Shopify Storefront -- tracking key events like product views, add-to-cart, checkouts started, purchases etc. All events are collected directly from Shopify so there is no need to define or pass back events. From this data it is possible to create hyper targeted audience in StackAdapt. Conversion events are automatically created and can be used for campaign optimization and reporting. 4. Snowflake: StackAdapt’s integration with Snowflake allows for seamless first-party CRM data stored in Snowflake to be directly onboarded within the StackAdapt platform. The integration includes an automatic sync and is available for targeting, suppression and LAL modeling within StackAdapt. 5. Adobe Audience Manager: Adobe customers can onboard audience segments from Adobe Audience Manager into StackAdapt enabling adobe managed audience activation across all available channels. These audiences can be used for campaign targeting, frequency capping, and audience exclusions"

StackAdapt is integrated with the following mobile measurement partners (MMPs): 1. AppsFlyer 2. Adjust 3. Branch 4. Kochava 5. Singular These integrations enable accurate attribution and measurement of app installs and in-app conversions for mobile app campaigns run on StackAdapt.

StackAdapt supports consent management for re-targeting campaigns in several key ways, ensuring compliance with regional privacy laws and enabling accurate tracking, reporting, and troubleshooting of consent signals: 1.) Consent Signal Ingestion and Processing: StackAdapt ingests consent signals (such as IAB TCF strings, US Privacy strings, and COPPA signals) directly from bid requests provided by inventory partners and publishers. For markets like the EU/UK and Quebec, StackAdapt relies on the IAB Transparency and Consent Framework (TCF) to receive and process user consent status in real time. 2.) Vendor Participation and Compliance: StackAdapt is a registered and verified vendor in the IAB TCF and other relevant frameworks, allowing it to receive explicit consent signals and act accordingly. For US privacy laws (e.g., CCPA), StackAdapt respects opt-out signals and strips personalized information for users who have opted out. 3.) Platform Tools for Consent Management: Within the StackAdapt platform, clients can manually designate the opt-in or opt-out status of consumer records, ensuring only users with proper consent are targeted. The platform allows for the removal of consumers who have requested opt-out or deletion, supporting ongoing compliance. 4.) Reporting and Troubleshooting: StackAdapt provides reporting on campaign performance, including the impact of consent signals on audience reach and targeting. • If consent is not present in the bid request, StackAdapt will not process personal data for targeting, which may result in lower available inventory—this is visible in campaign analytics. 5.) Opt-Out and Unsubscribe Handling: All marketing emails sent via StackAdapt must include an unsubscribe feature. Opt-out requests sent directly to StackAdapt are processed within 15 days, and clients can manage opt-in/out status in the platform.

"StackAdapt integrates with a wide range of SSPs (Supply-Side Platforms) to provide access to diverse inventory across channels. Here’s a summary of our current integrations and approach to future partnerships: • AdsWizz • AppLovin • Beachfront (Seedtag) • Broadsign • DAX • E-Planning • Equativ (Sharethrough) • Frameplay • FreeWheel • Fyber • Google • GumGum • Hivestack • Index Exchange • InMobi • Kargo • LiveIntent • LoopMe • Magnite (CTV and DV+, inclusive of Disney Live Certification) • Microsoft Monetize (not inclusive of Microsoft Curate, though we have a strong partnership with Microsoft and are capable of crafting any/all custom PMPs in this exchange leveraging our relationship) • Nexxen • OpenX • Place Exchange • PubMatic • PubNative • Smaato • Sonobi • Taboola • Teads • TripleLift • Triton Digital • Unity • Verve • VIOOH • Vistar Integration Approach: StackAdapt is SSP-agnostic and does not have a preference for any particular SSP. We continually evaluate and add new SSP integrations based on client demand, inventory quality, and strategic value. If a client requests inventory from an SSP we do not currently support, we assess the opportunity and may prioritize integration based on expected spend and resource availability.

StackAdapt offers several exclusive and unique inventory opportunities to help you maximize your campaign reach and performance. All these options are managed from a single view within the platform, making it easy to add, manage, and report on your inventory access: 1. Pre-Packaged Inventory Packages: Access curated packages of high-quality inventory from top publishers and exchanges. These packages are easy to browse, can be filtered by geography or channel, and provide estimated available impressions. 2. Custom Inventory Packages: Request completely custom packages tailored to your campaign needs, giving you control over the deals and allowing you to scale as needed. 3. Emerging Channels: StackAdapt is expanding into new and exciting channels such as in-game advertising, audio-podcasts, mobile performance in-app, and digital out-of-home (DOOH), providing early access to innovative inventory sources. 4. Strict Inventory Packages for Sensitive Brands: For brands in regulated or sensitive categories, StackAdapt offers specialized Inventory Packages to ensure compliance and safe delivery. 5. Live Sports: Emphasis is placed on providing buyers with access to exclusive tentpole events with NBCU, Disney, FOX, and others; NFL Playoffs, March Madness, and the 2026 World Cup

StackAdapt has access to Preferred Deals, PMP, PGs. The platform has a Deals Marketplace where users can view all existing deals on the platform as well as submit requests to our inventory team to begin negotiations.

StackAdapt enables deal-, publisher-, and SSP-specific prioritization for delivery through a suite of explicit targeting and dynamic allocation controls. Campaigns can be set to target specific deals, publishers, or SSPs directly. In addition, the Campaign Groups feature—a hierarchical system similar to folders—allows multiple campaigns to be grouped together, with targeting and prioritization rules enforced across all enclosed campaigns. Within Campaign Groups, rank-based (waterfall) spend allocation can be applied, so delivery and budget are prioritized based on campaign ranking, with the option to set maximum budget percentages for each. For PMP deals, spend allocation can be hardcoded to an exact or maximum percentage of a campaign budget. This same allocation logic can be extended to domain categories using IAB taxonomy, as well as mobile app categories defined by Apple and Google Play. Bid multipliers are also available at the publisher, app, supply source, and deal level to further fine-tune delivery according to campaign objectives. These controls together provide both flexibility and precision in managing how spend and impressions are allocated.

CTV: Future plans include Live Sports optimization & enhancements (separate endpoint connections designed to better handle the QPS constraints while removing a concern for a disruption to non-live specific campaign activations, as well as creative API enhancements (aimed to remove any creative related friction specific to live activation), and advanced day-parting based on live event scheduling), as well as advanced TV features like ad-podding support and linear addressable activation support. DOOH: StackAdapt's next iteration of its Digital Out-Of-Home (DOOH) product, currently in Alpha Testing, offers a suite of advanced features to enhance campaign planning and execution. It introduces comprehensive forecasting capabilities for data-driven insights and dynamic map visualizations, allowing users to easily transform forecasts into draft campaigns. Additionally, the update provides an intuitive inventory marketplace for discovering Media Owners, High Impact DOOH Screens, and Inventory Packages, alongside granular targeting options including specific Media Owners, Venue Types, Promoted Inventory Packages, with inventory acces across various transaction types (IO, PG, PMP, OX). Finally, it delivers creative audit statuses and robust reporting with map-based summaries and detailed tables and breakouts for performance visualization. Audio: Building out an enhanced audio marketplace meant to make access to premium podcast and streaming content more efficient. Integrations: External integration strategy is based on satisfying inventory uniqueness, solving for inventory scarcity, and strategic opportunities. Planned or recently completed integrations include Amazon Publisher Services, Tubi (AdRise), and the Spotify Exchange.

Diversely owned inventory sources are available via PMPs. Curated always-on PMPs exist for immediate activation. Custom PMPs are available upon request; Inventory included in these deals are curated by SSP partner publisher teams who have identified the owners of various publishers as belonging to minority groups.

StackAdapt offers many tools to support inventory/deal troubleshooting: Drop Off Funnel: Use the drop off funnel in the campaign view to identify where spend is dropping off (e.g., bid requests, bids, wins, impressions). Deal Avails: This shows if bid requests are being received. If there are no avails, this could indicate a setup or seat ID issue. Deal Tab Metrics: Review deal-specific metrics such as Avails, Bid Guidance, eCPM, Bid Stats, Impressions, Media Cost, and Days Remaining. This helps pinpoint where delivery may be stalling. Deal IDs Report : Access the Deal IDs report under the Reports tab for more granular stats on deal performance. Sample Bid Request: If inventory is being sent through the correct seat ID but no requests are coming through, request a sample bid request from the publisher and share it with the StackAdapt team for further diagnosis."

StackAdapt rates our organization as a 5 for industry leadership in supply chain transparency. This is substantiated by our proactive approach to direct SSP and publisher integrations that minimize intermediaries, real-time and auto-scaling monitoring infrastructure that uniquely adapts to changing supply dynamics, and advanced bidstream filtering with proprietary curation algorithms for supply quality. Unlike most DSPs, StackAdapt not only mandates but systematically and directly audits ads.txt, sellers.json, and app-ads.txt compliance for all supply sources, enforcing standards with both automated systems and human review of every domain and app, providing clients not just visibility, but rapid, decisive remediation and ongoing integrity of their supply paths.

StackAdapt provides robust brand safety and fraud reporting through a combination of in-platform tools, third-party integrations, and manual quality assurance processes: In-Platform Reporting: Direct proprietary integration powered by DV enables in-platform viewability reporting, brand safety monitoring, and invalid traffic (IVT) blocking and monitoring. Users have access to real-time reporting on performance, brand safety, and inventory placement. Third-Party Partnerships: StackAdapt partners with leading verification providers such as DoubleVerify, Integral Ad Science (IAS), and GeoEdge to ensure ads are viewable, fraud-free, and brand safe. GeoEdge provides ad verification and SafeStream services, scanning for malware, malicious behavior, and contextual risks both pre-launch and in-flight. Manual Quality Assurance: The Platform Quality team manually vets domains, ensuring compliance with StackAdapt’s Content Guidelines and supply source policies. Domains are reviewed for content quality, historic fraud rates, ad unit rendering, and overall brand safety. Automated and Machine Learning Solutions: Machine learning is used to detect suspicious patterns in impressions, clicks, and engagements on whitelisted domains. IP filtering blocks known sources of non-human traffic. Customizable Controls: Users can leverage tools such as Page Context AI, keyword targeting/exclusion, domain inclusion/exclusion, and IAB contextual category targeting for additional brand safety. Full domain transparency allows for blacklisting based on performance or preference.

StackAdapt takes measures both in-house, and through third party partners to avoid fraud clicks and ensure brand safety and compliance regulations in platform. In-House Brand Safety Measures: - IP Filter: StackAdapt blocks IP addresses of known server and web hosting providers that send non-human traffic. - Human Verification & Domain Whitelist: StackAdapt's Platform Quality team manually examines the quality of domains to ensure a brand safe environment and purely operates off of whitelist solutions. - Ad Audit: The Internal Platform Quality team ensures creative assets and landing pages are compliant with StackAdapt and respective supply sources' ad policies and the law - Proprietary Global Blocklist - Risk Analysis applied to clients web assets and are scanned for malicious activity powered by Boltive. Brand Suitability: - Domain Lists (site inclusion & exclusion) - Content Category (site exception, page-level exception) - Custom Content, (custom keyword lists, custom category) - Language Lists (inclusion & exclusion) - App Lists (inclusion & exclusion) - Viewability (format & goal based) IVT Prevention: Format-based blocking {All of the above available at NO ADDITIONAL COST} Partnerships (available by default in the platform): Boltive: Flags malpractice from demand-side advertisers, Scans 3rd-party ad tags, Publisher and exchange compliance, Improves serve-through rate DoubleVerify and IAS: Pre-Bid & mid-flight tracking, we support all 3rd-party verification tags, the most popular being IAS and DoubleVerify

Inclusion/Exclusion Lists can be applied at the account level and/or the campaign level. SatckAdapt also has a global exclusion list that is applied to every single campaign before anything additional is added. Rules can be applied within the campaign to ensure creatives are served / are not served on specific inventory if that is required.

StackAdapt gives you the ability to exclude keywords but also during major/negative events our team is constantly updating blocked subjects and keywords to ensure our clients ads are not showing up next to those topics. There is no set limit to the number of keywords you can exclude on a campaign in StackAdapt. We do also have Platform Quality teams dedicated towards ensuring sensitive verticals are following the correct guidelines and rules. Also including extensive support articles and collateral on what is needed per each sensitive vertical.

Our DSP has proprietary tools that help us measure viewability Viewability expressed as a % is illustrated in the reporting dashboard as well as ""Viewable Impressions"" StackAdapt also partners with 3rd Party Platforms to measure viewability such as DoubleVerify (in-platform) and IAS

Yes, we can agree upon viewability guarantees per IO. In addition, you can set a Viewability Goal in the campaign editor for both video and display campaigns. This allows the platform to optimize toward placements with higher viewability, aiming to meet or exceed your specified goal. Viewability is measured using DoubleVerify and follows MRC standards. Yes, Deal IDs can be developed to focus on viewability.

Fraudulent Domains: Sites known to be involved in ad fraud schemes are removed from inventory as soon as they are detected or exposed, Non-Human Traffic (Bot Traffic), Malware and Malicious Activity, Invalid Traffic, Ad Density and Intrusive Ad Placements: Suspicious Patterns in Impressions, Clicks, and Engagements, Contextual and Creative-Related Fraud

To enhance fraud prevention and protect against Made-for-Advertising (MFA) supply, StackAdapt employs a multi-layered supply quality strategy, including: Integration with Jounce to identify and classify MFA domains and non-quality sellers. Jounce’s reporting is built directly into our platform, giving clients actionable transparency. We use Jounce signals to block low-quality sellers in parallel with third-party verification partners. Pre-bid fraud detection through integrations with vendors like HUMAN to screen invalid traffic at the point of bid. Curated supply and proactive MFA exclusion across our exchange partnerships and PMP/private inventory pools. While StackAdapt does not maintain a blanket refund policy, we collaborate with clients and supply partners to investigate and remediate any validated fraud instances. Credits may be issued following a joint investigation and confirmation of invalid supply. Our platform’s focus on transparency and buyer control is designed to prevent fraud before it occurs, with strong reporting and escalation channels in place when further investigation is needed.

We have a rigorous onboarding and audit process regarding inventory that’s available to our customers on the platform. Our platform quality team review these sites and app to ensure they meet our standards. We believe users should have choice so we give our clients options to access a wide variety of inventory and have strived to make these features easily discoverable on the platform including providing clients with an easy way to opt-out of transacting on MFA inventory (as determined by Jounce).

StackAdapt offers a comprehensive range of training and educational resources for customers onboarding into the platform: Fully-staffed onboarding of new clients • StackAdapt onboards new clients in-house as opposed to outsourcing to platform partners. StackAdapt Academy • Platform Certification Course: Teaches how to plan, execute, and analyze campaigns. • Basic and Advanced Programmatic Certifications: Boosts industry knowledge. • Channel Certification Courses: Covers Native, CTV, Audio, In-Game, DOOH, and more. Resource Library and Guides • Quickstart Reference Guides: Step-by-step instructions for campaign setup. • Resource Library: Access to 1-pagers, eBooks, guides, and more. • Knowledge Base: Extensive support articles and FAQs. Platform Walkthroughs and Demos • Guided Platform Walkthroughs: Available for self-serve clients and optional for managed clients. • Video Tutorials and Mock Demos: Demonstrate campaign setup and best practices. Ongoing Support and Education: • Strategic Office Hours: Dedicated time to answer questions and provide deeper education. • Performance & Partnership Session: Identifies learning gaps and gathers client feedback.

CTV Forecasting Tool: • Allows you to input targeting parameters (geo, audience, inventory, bid, budget) and receive estimates for available impressions and campaign performance. CTV Properties and Inventory Packages: • Browse and select specific CTV properties (networks, channels, streaming services) and inventory packages. • Filter by publisher, geo, genre, and target audience and View real-time avails, bid guidance, and other property/package details. In-Editor Forecasting • Available directly within the campaign editor for CTV (as well as Native, Display, and Video). • Instantly see forecasting data as you build or edit campaigns, including available impressions and likelihood to spend in full. Incremental Reach Forecasting: • Estimates additional audience reach by comparing CTV campaigns against linear TV campaigns (using SambaTV data). • Results are shown in household numbers for direct comparison with linear TV.

Yes. StackAdapt licences data signals across important verticals and uses Machine Learning to create custom audiences: Custom-tailored capabilities for verticals like Finserv, Tech, Telco, Travel, and Healthcare - with vertical specific identity graphs built for real-time targeting, measuring and reporting in-platform.

Yes. StackAdapt has access to Live & VOD linear addressable inventory through partnership with Canoe (Comcast), DISH, and Charter. VOD Pub List: AMC, A+E, Charter, FOX, NBCU, Univision, and WBD. Live Pub List: AMC, Charter, DISH, and WBD.

OTT; CTV; Video Game Console, Desktop, Mobile (web/app), Tablet, OTT, CTV, programmatic linear, Video, Audio, DOOH, Native Display, Native Video, email, direct mail,

Yes, StackAdapt can provide cross-channel reach and frequency measurement across Connected TV (CTV) partners. Here’s how it works: Cross-Channel Measurement: StackAdapt partners with industry leaders like Nielsen, Comscore, and TVision to offer cross-channel measurement. This allows you to analyze ad effectiveness and reach across both CTV and linear TV ad buys. Pairing with Desktop & Mobile: StackAdapt’s cross-device solution enables targeting and measurement across CTV, desktop, and mobile devices. This means you can reach and measure audiences across multiple screens. Level of Measurement: Measurement and targeting are primarily done at the household level, leveraging IP addresses and device graphs to unify exposure across devices within the same household.

StackAdapt has a verticalized focus and builds partnerships across the verticalized ecosystem to provide differentiated measurement and insights. Vertical Solutions Travel: • Adara Impact Measurement: Enables clients to connect billions of data points across the travel ecosystem to measure campaign-driven search, bookings, website visits, and hotel revenue. • Travel Lift Study: Demonstrates the impact of ad spend on travellers, showing incrementality through metrics like destination favorability, travel intent, and booking consideration. • Destination Visitation Measurement: Measures the impact of campaigns on driving visits to destinations using PlaceIQ and Adsquare. • Marriott Media Network Partnership: Allows advertisers to reach travellers at various journey stages via Marriott’s owned and operated inventory. Healthcare: • PCAI (Privacy-Compliant Audience Intelligence): Allows healthcare advertisers to reach individuals searching for healthcare topics online, operating outside the scope of HIPAA as it doesn’t store user-level data. • In-Platform Healthcare Offerings: Expanded to include AI Brand Lift, 3rd-party audience segments (off-the-shelf, custom, NPI targeting), and Doceree Audience Quality Measurement. • Prescription Lift: Measures the impact of campaigns on prescription activity. B2B • StackAdapt ABM Targeting and Measurement (US Only): Proprietary in-platform identity graph for precise account-based marketing targeting and measurement. • Multiple B2B Data Partner Integrations: Expanded targeting options with partners like ZoomInfo, Bombora, HG Insights, Netwise, and Dunn & Bradstreet. • IP Flow (Global) (Beta): New targeting and measurement capabilities for B2B audiences. • Vertical Campaign Cookbook (Beta): A new feature providing tailored, vertical-specific campaign strategy recommendations to simplify and optimize campaign planning.

3rd-Party Measurement Partners: • StackAdapt partners with industry leaders such as Comscore, Nielsen, TVision, Upwave, Cuebiq, Foursquare Incremental Reach Measurement: • StackAdapt’s Incremental Reach Measurement tool provides insights into audience reach across linear TV, CTV, and digital channels. Granular Reporting: • Measurement can be broken out by publisher, domain, deal ID, and even by congressional and legislative districts for political campaigns. Cross-Channel Analysis: • The platform supports analysis of ad effectiveness across CTV, linear TV, and digital, enabling clients to optimize their media mix and budget allocation.

StackAdapt currently supports forecasting, planning, activation, and reporting across all channels at the following geographic levels: • Country, region, state/province, city, and postal code (incl. Zip+4 in development) • Geo-coordinates and polygon-based targeting • Support for H3 hexagonal grid-level geotargeting is in roadmap review, aligned to increased demand from agencies with advanced geospatial use cases (e.g. franchise QSR, political, healthcare). We anticipate MVP feasibility within 90–120 days, contingent on internal geospatial infrastructure readiness and mapping vendor support. In parallel, clients can upload shapefiles or draw custom polygons today, with reporting granularity customizable to match geo input.

StackAdapt responds to a bid request in real time—specifically, the entire process from a user visiting a website to an advertiser serving an ad happens in just 100 milliseconds. This rapid response ensures that ads are delivered to the right audience at the right moment.

While StackAdapt does not work directly with Nielsen on DAR guarantees, we have the ability to ingest tags from 3rd party data/measurement partners to run tests!

StackAdapt does offer advanced TV audience measurement and planning capabilities through partnership with Samba TV. This integration provides access to Samba TV’s automatic content recognition (ACR) dataset, enabling features like incremental reach forecasting and measurement for both streaming (CTV) and linear TV audiences. While transacting on TV currency doesn't exist today, we are always iterating on current capabilities and can explore this. It is possible to send log files including IP address to partners like VideoAmp to reconcile delivery.

StackAdapt offers ACR data capabilities for Advanced TV through a strategic partnership with Samba TV. Source of Data: Samba TV collects ACR data by embedding software directly into the firmware of smart TVs. They also partner with TiVo to incorporate set-top box (STB) data, enhancing the breadth and accuracy of viewership insights. Capabilities: Using this data, StackAdapt has built several in-platform solutions for planning, targeting, and measurement: Incremental Reach (IR) Forecaster & Planner (Free): Enables clients to search for a specific linear TV creative, add filters and view a forecast of net-new households reachable via CTV. Campaigns can be launched directly from the planner. 24-Hour Incremental Reach Measurement (CPM): Provides a live dashboard showing reach and frequency across linear and CTV within 24 hours of campaign launch. Clients can optimize budgets mid-flight. Linear TV Retargeting / Conquesting (CPM): Includes off-the-shelf and custom segments (built in 24 hours) to retarget or exclude households exposed to specific linear TV ads, including competitor ads. CTV & Linear TV Performance Measurement (CTV: Free; LTV: CPM): Connects CTV and linear TV exposures to outcomes like web visits, conversions, and sales, allowing for bottom-line performance analysis. These capabilities support retargeting, competitive conquesting, and incremental reach across programmatic channels. Market Limitations & Coverage: Available in the US, Canada, and Australia. Additional European markets can be enabled upon request."

Yes! StackAdapt offers access to a wide array of unique data sources and providers. Exclusive Integrations: - Partnership with 3rd Party provider signals allowing for US Traveler targeting based on real transaction data including intent spend, origin location and spend category. -Impact Measurement: Measures the campaign impact across the entire travel ecosystem, connecting billions of data points from leading travel brands to attribute outcomes like bookings, website visits, and hotel revenue Custom Solutions: - Integrate 1PD with exclusive 3rd party data for precise targeting and LAL Modeling Proprietary In Platform Solutions: - Stack Adapt's in house B2B graph and Account Based Marketing targeting capabilities provide best-in-class targeting (company size, company, level of seniority, etc) with more granular user-level reporting and minimal data loss.

Yes, StackAdapt has many custom audience segmentation tools available within the UI: CRM Audience Device ID Audience IP Audience: • Upload lists of IP addresses to focus campaigns on users from specific physical locations or organizations. ISP Audience: • Target users based on their Internet Service Provider or network name. • Ideal for B2B or competitive conquesting strategies. Location Audience: • Upload latitude/longitude coordinates to build audiences based on users’ presence within a specific geo-radius. Browsing Audience: • Create behavioral segments based on users’ interests and online activity. • Specify topics relevant to your campaign, and StackAdapt’s machine learning builds the audience. Combined Audience: • Overlap multiple existing audience segments to refine targeting (e.g., users interested in both hiking and adventure travel). Custom Audience Segments: • Build segments using AND/OR logic with rules based on lists, profile properties, and profile events. • Supports advanced segmentation using imported data, event triggers, and custom attributes. Integration Audiences (e.g., Shopify, HubSpot, Salesforce): • Connect your e-commerce or CRM platform to create dynamic audiences such as: Window Shoppers, Abandoned Cart, Abandoned Checkout, First-time Purchasers, Repeat Purchasers Page Context AI Audience: • Target users based on the context of the pages they visit, aligning ads with relevant content. Audience Exclusion: • Exclude specific segments from targeting to refine reach and avoid overlap.

StackAdapt offers several tools and resources to help discover and target diverse, underrepresented audiences: Minority-Owned Publisher Deals: StackAdapt has curated deals with domains and apps owned by cultural minorities—including but not limited to Hispanic/Latinx, Asian, Black, and LGBTQ communities. These deals allow you to broaden your reach and engage with audiences from underrepresented groups. To leverage these, simply contact your StackAdapt Representative. Third-Party Audience Catalogue: Our platform provides access to a wide range of third-party audience segments, including those focused on multicultural and diverse demographics. This catalogue is available directly from the Audiences page, with no additional paywall. Custom Audience Building: You can create custom audience segments using firmographic, demographic, and technographic data. This flexibility allows you to tailor campaigns to reach specific underrepresented groups based on company size, industry, job title, and more. Geo-Targeting and Contextual Targeting: Utilize geo-targeting to focus on regions with higher concentrations of diverse populations, and contextual targeting to reach users consuming content relevant to specific cultural or community interests.

Pixel Based Audiences: StackAdapt supports pixel based 1st party data audiences through the use of StackAdapt Universal Pixel. This pixel supports retargeting audiences, and custom rulesets (visited certain pages on a site but not others) 1PD CRM: Pixel integrations: Segment, Snowflake, Salesforce, Shopify, Adobe. Details in Row 51 of data tab

Yes - StackAdapt has a proprietary audience graph called the StackAdapt Derived User Identity (DUID) Graph. Over the last 5 years, our Engineering and Data Science teams have been developing and enhancing our internal ID graph which is not reliant on third-party cookies. The DUID graph uses a dynamic algorithm that evaluates and groups identifiers together to create a unified view of the user. By having an ID graph that is composed of Probabilistic (derived by StackAdapt) and Deterministic (such as Liveramp’s Ramp ID and Experian's LUID) sources, StackAdapt is able to offer a strong balance of accuracy and scale when identifying users in the current state and when cookies are deprecated. By owning the graph, StackAdapt is able to consistently make improvements, leading to better performance across all campaigns. DUID allows StackAdapt to target behavioral audiences on more than just cookies allowing for deterministic 1st party data targeting (via approved onboarders). StackAdapt also has proprietary behavioral audience targeting capabilities built using audience browsing behavior. In addition, we have our own Page Context AI built for targeting desired users without any dependencies on cookies or other IDs.

StackAdapt has a proprietary audience graph called the StackAdapt Derived User Identity (DUID) Graph. Over the last 5 years, our Engineering and Data Science teams have been developing and enhancing our internal ID graph which is not reliant on third-party cookies. The DUID graph uses a dynamic algorithm that evaluates and groups identifiers together to create a unified view of the user. By having an ID graph that is composed of Probabilistic (derived by StackAdapt) and Deterministic (such as Liveramp’s Ramp ID and Experian's LUID) sources, StackAdapt is able to offer a strong balance of accuracy and scale when identifying users in the current state and when cookies are deprecated. By owning the graph, StackAdapt is able to consistently make improvements, leading to better performance across all campaigns. More about DIUD: 1.) The DUID Graph is developed and maintained internally by StackAdapt’s Engineering and Data Science teams. 2.) It is not reliant on third-party cookies and uses a dynamic algorithm to group identifiers, creating a unified view of the user. 3.) The graph combines both Probabilistic IDs (derived by StackAdapt) and Deterministic IDs (such as Liveramp’s Ramp ID and Experian's LUID) for a balance of accuracy and scale. 4.) We are in the process of adding additional alternative identifiers into the graph, such as ID5 and First ID. 5.) By owning and continuously improving this graph, StackAdapt enhances campaign performance and future-proofs its targeting capabilities. In addition, we have our own Page Context AI built for targeting desired users without any dependencies on cookies or other IDs.

Deterministic Data Sources: StackAdapt leverages deterministic identifiers such as email addresses, phone numbers, and CRM data provided by advertisers. These identifiers are directly linked to individual users, ensuring high accuracy in matching. Identity Resolution: Our Derived User Identity Graph (DUID) connects and matches deterministic data points (like emails and phone numbers) across multiple devices. This enables us to create a unified, persistent view of a user, regardless of which device they’re using. Cross-Device Targeting: With deterministic matching, StackAdapt can identify and target the same user across different devices (e.g., mobile, desktop, tablet, CTV). This allows for seamless cross-device and multi-channel targeting and retargeting. Frequency Management and Personalization: Deterministic matching enables effective frequency management and personalized ad experiences, ensuring users see the right message at the right time, no matter which device they’re on.

Below Please find SA's cross device Probabilistic Capabilities: 1. Probabilistic Data Collection: StackAdapt collects various data signals—such as residential IP addresses, device IDs, cookies, browser attributes, and timestamps. These signals are used to probabilistically link different devices and browsers to a single user. 2. Identity Resolution: Our dynamic algorithm evaluates and groups these identifiers, creating a unified view of the user across devices. This means we can recognize and target the same individual whether they’re on their phone, tablet, or desktop, even in environments where cookies are limited or unavailable. 3. Real-Time Updates: The DUID graph is continuously updated in real time as new data signals are observed, ensuring that our cross-device targeting remains accurate and up-to-date. 4. Privacy-First Approach: All data collection and matching are done in compliance with privacy regulations like GDPR and CCPA, and users have opt-out options.

StackAdapt’s identity graph leverages both deterministic and probabilistic data, allowing for accurate and scalable targeting across CTV campaigns.This approach enables us to target billions of people globally via a unified identifier, rather than being limited to only opt-in audiences. Our identity graph is updated in real time based on buying activities, ensuring up-to-date audience information and strong campaign performance.

StackAdapt’s identity graph leverages both deterministic and probabilistic data, allowing for accurate and scalable targeting across CTV campaigns.This approach enables us to target billions of people globally via a unified identifier, rather than being limited to only opt-in audiences. Our identity graph is updated in real time based on buying activities, ensuring up-to-date audience information and strong campaign performance.

Yes - Access unique reach (unique impressions) and frequency metrics through the Reach and Frequency report in the platform. These metrics show how many unique users were reached and how often they saw your ads over a selected period. Unique reach and frequency reporting is available across all programmatic channels offered by StackAdapt, including native, display, video, connected TV (CTV), audio, in-game, and digital out-of-home (DOOH). Incremental Reach Measurement and Forecasting (comparing programmatic to linear TV), is available in the United States.

1. Incremental Reach Measurement: The platform can provide incremental reach numbers, showing how many unique users are added by including CTV in your channel mix via Samba TV 2. Internally with CTV we are able to provide conversion tracking, Brand Lift studies, First Party Data Attribution and More!

StackAdapt offers highly granular exposure data via a robust macro library, enabling third-party trackers to capture rich CTV metadata such as IP address, geo-location, device, app/publisher, content, campaign, and third-party IDs. The macro data enables creative decisioning, campaign reporting, postback attribution, and is designed to be fully interoperable with your analytics and measurement systems. StackAdapt’s architecture allows new macros and metadata fields to be activated with minimal turnaround, supporting evolving measurement and attribution requirements.

Yes, StackAdapt offers several native integrations with CRM systems, including Salesforce and Segment. Here’s a breakdown: 1. Salesforce Integrations: • Salesforce Sales Cloud: Import data from Salesforce Sales Cloud directly into StackAdapt to create CRM audience segments for targeting, retargeting, or exclusion in your campaigns. • Salesforce Data Cloud (CDP): Activate CRM data from Salesforce Data Cloud. Segments shared from Salesforce are dynamically updated in StackAdapt. • Salesforce Object Unification: StackAdapt unifies Salesforce Lead and Contact objects into a single customer profile using email as the common identifier. 2. Segment Integration: • StackAdapt has a Client-Side Pixel integration allowing clients to map all track events and page views from Segment to StackAdapt. This enables the creation of lookalike and retargeting audiences, as well as conversion tracking. • There is a Server To Server Integration allowing the forwarding of Segment events directly to StackAdapt, bypassing the need to install a SA pixel on a client site -- ideal for generating retargeting and lookalike audiences, tracking conversions and measuring ROAS. 3. Shopify: The StackAdapt app is available in the Shopify App store, and once installed, it automatically places the StackAdapt Pixel on a Shopify Storefront -- tracking key events like product views, add-to-cart, checkouts started, purchases etc. All events are collected directly from Shopify so there is no need to define or pass back events. From this data it is possible to create hyper targeted audience in StackAdapt. Conversion events are automatically created and can be used for campaign optimization and reporting. 4. Snowflake: StackAdapt’s integration with Snowflake allows for seamless first-party CRM data stored in Snowflake to be directly onboarded within the StackAdapt platform. The integration includes an automatic sync and is available for targeting, suppression and LAL modeling within StackAdapt. 5. Adobe Audience Manager: Adobe customers can onboard audience segments from Adobe Audience Manager into StackAdapt enabling adobe managed audience activation across all available channels. These audiences can be used for campaign targeting, frequency capping, and audience exclusions

Yes, StackAdapt offers several native integrations with CRM systems, including Salesforce and Segment. Here’s a breakdown: 1. Salesforce Integrations: • Salesforce Sales Cloud: Import data from Salesforce Sales Cloud directly into StackAdapt to create CRM audience segments for targeting, retargeting, or exclusion in your campaigns. • Salesforce Data Cloud (CDP): Activate CRM data from Salesforce Data Cloud. Segments shared from Salesforce are dynamically updated in StackAdapt. • Salesforce Object Unification: StackAdapt unifies Salesforce Lead and Contact objects into a single customer profile using email as the common identifier. 2. Segment Integration: • StackAdapt has a Client-Side Pixel integration allowing clients to map all track events and page views from Segment to StackAdapt. This enables the creation of lookalike and retargeting audiences, as well as conversion tracking. • There is a Server To Server Integration allowing the forwarding of Segment events directly to StackAdapt, bypassing the need to install a SA pixel on a client site -- ideal for generating retargeting and lookalike audiences, tracking conversions and measuring ROAS. 3. Shopify: The StackAdapt app is available in the Shopify App store, and once installed, it automatically places the StackAdapt Pixel on a Shopify Storefront -- tracking key events like product views, add-to-cart, checkouts started, purchases etc. All events are collected directly from Shopify so there is no need to define or pass back events. From this data it is possible to create hyper targeted audience in StackAdapt. Conversion events are automatically created and can be used for campaign optimization and reporting. 4. Snowflake: StackAdapt’s integration with Snowflake allows for seamless first-party CRM data stored in Snowflake to be directly onboarded within the StackAdapt platform. The integration includes an automatic sync and is available for targeting, suppression and LAL modeling within StackAdapt. 5. Adobe Audience Manager: Adobe customers can onboard audience segments from Adobe Audience Manager into StackAdapt enabling adobe managed audience activation across all available channels. These audiences can be used for campaign targeting, frequency capping, and audience exclusions

While StackAdapt supports delivery in the majority of global markets, there are select non-supported or restricted geographies due to platform-level compliance limitations (e.g. data residency laws), lack of verified inventory or contextual signal coverage, local identity and consent frameworks not yet integrated Current markets with limited or paused support include: -Mainland China (mainland) -Russia -Iran -North Korea - Select countries in Africa and Central Asia (based on inventory and compliance constraints

StackAdapt offers several exclusive and unique inventory opportunities to help you maximize your campaign reach and performance. All these options are managed from a single view within the platform, making it easy to add, manage, and report on your inventory access: Pre-Packaged Inventory Packages: Access curated packages of high-quality inventory from top publishers and exchanges. These packages are easy to browse, can be filtered by geography or channel, and provide estimated available impressions. Custom Inventory Packages: Request completely custom packages tailored to your campaign needs, giving you control over the deals and allowing you to scale as needed. Emerging Channels: StackAdapt is expanding into new and exciting channels such as in-game advertising, audio-podcasts, mobile performance in-app, and digital out-of-home (DOOH), providing early access to innovative inventory sources. Strict Inventory Packages for Sensitive Brands: For brands in regulated or sensitive categories, StackAdapt offers specialized Inventory Packages to ensure compliance and safe delivery. Live Sports: Emphasis is placed on providing buyers with access to exclusive tentpole events with NBCU, Disney, FOX, and others; NFL Playoffs, March Madness, and the 2026 World Cup

StackAdapt’s identity graph for CTV uses the Derived User ID (DUID) to connect various identifiers—such as cookies, device IDs, and IP addresses—into a unified profile. Here’s how it works with CTV: 1. Since CTV devices are often shared by multiple users in a household, targeting is automatically expanded to the household level rather than just a single user. 2. The DUID helps group devices and identifiers that belong to the same household, improving the accuracy of targeting and forecasting. 3. For most CTV campaigns, this means your ads are delivered to all users within a household, not just one device or user. 4. However, for CRM and first-party custom segments, targeting remains at the user level and does not automatically expand to households—this may change in the future.

1. Unified User View: The DUID graph combines both probabilistic IDs (derived by StackAdapt) and deterministic IDs (such as Liveramp’s RampID) to create a unified and privacy-first view of users, even as third-party cookies are phased out. 2. Ad Targeting and Delivery: For Display campaigns, this unified identity allows StackAdapt to accurately identify and reach users across devices and environments, ensuring your ads are shown to the right audiences. 3. Performance and Scale: By owning and continuously improving the identity graph, StackAdapt can maintain high accuracy and scale in user targeting, which leads to better campaign performance. 4. Cookie Independence: The DUID graph is designed to function with minimal reliance on third-party cookies, making Display campaigns resilient to industry changes like cookie deprecation.

StackAdapt has access to all PMP channel formats. Access to Deal Management System/Marketplace Buyers have access to StackAdapt’s deal management system through the self-serve Bring Your Own Deal (BYOD) feature. This allows you to upload, manage, and activate your own PMP (and PG) deals directly in the platform. Recently, StackAdapt has created direct API connections with major exchanges like Magnite, Index, and Pubmatic to significantly decrease the timeline between when a deal is created to when it is visible within the platform. Yes, we have many troubleshooting tools to help diagnose campaign delivery issues: Deal Level: • Deal Avails: Check in the 'Inventory' section to see if bid requests are being sent for a specific deal. The 'Avails' column shows if the deal is active and receiving traffic. • Site List Review: Within Inventory Packages, you can review the associated site list to ensure proper targeting. Campaign Level: • Drop Off Funnel: Analyze where in the campaign setup or delivery process issues may be occurring (e.g., targeting, bidding, creative approval). • Campaign Performance Reporting: Break down performance by multiple dimensions (e.g., geo, device, creative, audience) to identify underperforming areas. • Pacing and Delivery Reports: Monitor if campaigns are spending as expected and identify pacing issues. Audience and Geo Level: • Audience Insights: Use reporting tools to see which audience segments are performing and where there may be delivery gaps. • Geo Performance Reports: Analyze campaign results by location (district, zip code, etc.) to spot underserved areas. Creative Level: • Creative Analysis: Review performance by creative asset to identify any issues with specific creatives. • Display Size Analysis: Evaluate how different display sizes are performing within your campaign."

Yes - PG is fully supported by the StackAdapt Platform. The technology fee is negotiable and typically lower than the decisioned rate. StackAdapt is currently running a promotion where advertisers get PG at a 0% platform fee with an equivalent spend on decisioned media.

Yes there are limitations with Disney+. Please see below: • Geography: Only available in the US and select EMEA countries (France, Germany, Italy, Spain, Switzerland, UK). • Targeting: Only certain targeting is allowed, such as age range or gender, and must be pre-applied by Disney. More granular targeting (like postcode) is not allowed. • Measurement: Not supported in EMEA. • Tracking: Only StackAdapt impression and click trackers are permitted; no 3rd-party trackers or conversion/audience pixels. • Retargeting: Not allowed across Disney properties. • Creative Approval: Creatives must be approved by Disney+ before launch

Yes, we currently have integrations with the below high impact / custom unit providers. If there is a provider of interest that isn't currently integrated, please let us know and we can evaluate. -Kargo -GumGum -YieldMo -Teads -33Across -Undertone

StackAdapt enables deal-, publisher-, and SSP-specific prioritization for delivery through a suite of explicit targeting and dynamic allocation controls. Campaigns can be set to target specific deals, publishers, or SSPs directly. In addition, the Campaign Groups feature—a hierarchical system similar to folders—allows multiple campaigns to be grouped together, with targeting and prioritization rules enforced across all enclosed campaigns. Within Campaign Groups, rank-based (waterfall) spend allocation can be applied, so delivery and budget are prioritized based on campaign ranking, with the option to set maximum budget percentages for each. For PMP deals, spend allocation can be hardcoded to an exact or maximum percentage of a campaign budget. This same allocation logic can be extended to domain categories using IAB taxonomy, as well as mobile app categories defined by Apple and Google Play. Bid multipliers are also available at the publisher, app, supply source, and deal level to further fine-tune delivery according to campaign objectives. These controls together provide both flexibility and precision in managing how spend and impressions are allocated.

StackAdapt offers several tools and resources to help discover and target diverse, underrepresented audiences: Minority-Owned Publisher Deals: StackAdapt has curated deals with domains and apps owned by cultural minorities—including but not limited to Hispanic/Latinx, Asian, Black, and LGBTQ communities. These deals allow you to broaden your reach and engage with audiences from underrepresented groups. To leverage these, simply contact your StackAdapt Representative. Third-Party Audience Catalogue: Our platform provides access to a wide range of third-party audience segments, including those focused on multicultural and diverse demographics. This catalogue is available directly from the Audiences page, with no additional paywall. Custom Audience Building: You can create custom audience segments using firmographic, demographic, and technographic data. This flexibility allows you to tailor campaigns to reach specific underrepresented groups based on company size, industry, job title, and more. Geo-Targeting and Contextual Targeting: Utilize geo-targeting to focus on regions with higher concentrations of diverse populations, and contextual targeting to reach users consuming content relevant to specific cultural or community interests.

StackAdapt offers many tools to support inventory/deal troubleshooting: Drop Off Funnel: Use the drop off funnel in the campaign view to identify where spend is dropping off (e.g., bid requests, bids, wins, impressions). Deal Avails: This shows if bid requests are being received. If there are no avails, this could indicate a setup or seat ID issue. Deal Tab Metrics: Review deal-specific metrics such as Avails, Bid Guidance, eCPM, Bid Stats, Impressions, Media Cost, and Days Remaining. This helps pinpoint where delivery may be stalling. Deal IDs Report : Access the Deal IDs report under the Reports tab for more granular stats on deal performance. Sample Bid Request: If inventory is being sent through the correct seat ID but no requests are coming through, request a sample bid request from the publisher and share it with the StackAdapt team for further diagnosis.

Manual Review and Whitelisting • Every new domain or app is manually reviewed by the Platform Quality (PQ) team. • The team checks for content category compliance, content quality, and adherence to StackAdapt’s Content Guidelines. • Only approved domains/apps are added to the platform’s inclusion list. Fraud Prevention and Traffic Quality • StackAdapt blocks IP addresses from known server and web hosting providers that generate non-human traffic. • We partner with DoubleVerify to monitor for high-risk traffic sources and invalid traffic in real time. • Machine learning is used to detect suspicious patterns in impressions, clicks, and engagements. Ad Density and User Experience • The PQ team checks the number and placement of ad units to avoid intrusive user experiences. • Sites with excessive ad density or disruptive layouts are typically rejected. Historic Fraud Rate and Performance • DoubleVerify’s invalid traffic stats are reviewed for each publisher. • Session and engagement rates are tracked to identify and block inventory with sustained low user engagement. Malware and Security Scanning • Creatives and ad tags are scanned for malware and malicious activity using partners like Ad Lightning and Geo-Edge. • Continuous monitoring ensures ongoing compliance and safety. Ongoing Audits and Monitoring • The PQ team regularly audits inventory and campaign performance. • Suspicious or underperforming domains/apps are disapproved on a case-by-case basis. Tier Classification • Domains are assigned a tier (1-3) based on brand recognition, publisher performance, and user viewability.

StackAdapt provides robust brand safety and fraud reporting through a combination of in-platform tools, third-party integrations, and manual quality assurance processes: In-Platform Reporting: Direct proprietary integration powered by DV enables in-platform viewability reporting, brand safety monitoring, and invalid traffic (IVT) blocking and monitoring. Users have access to real-time reporting on performance, brand safety, and inventory placement. Third-Party Partnerships: StackAdapt partners with leading verification providers such as DoubleVerify, Integral Ad Science (IAS), and GeoEdge to ensure ads are viewable, fraud-free, and brand safe. GeoEdge provides ad verification and SafeStream services, scanning for malware, malicious behavior, and contextual risks both pre-launch and in-flight. Manual Quality Assurance: The Platform Quality team manually vets domains, ensuring compliance with StackAdapt’s Content Guidelines and supply source policies. Domains are reviewed for content quality, historic fraud rates, ad unit rendering, and overall brand safety. Automated and Machine Learning Solutions: Machine learning is used to detect suspicious patterns in impressions, clicks, and engagements on whitelisted domains. IP filtering blocks known sources of non-human traffic. Customizable Controls: Users can leverage tools such as Page Context AI, keyword targeting/exclusion, domain inclusion/exclusion, and IAB contextual category targeting for additional brand safety. Full domain transparency allows for blacklisting based on performance or preference.

Inventory Quality Assurance • We block IP addresses from known sources of non-human traffic. • Our Platform Quality team manually reviews and whitelists domains, ensuring only high-quality, brand-safe inventory is available. Fraud Prevention Partnerships • We partner with DoubleVerify to detect and block high-risk traffic and monitor real-time predictive quality scoring for ad viewers. • GeoEdge is used to scan ad tags for malware and data leakage, both pre-launch and in-flight. Manual and Automated Audits • Every campaign and creative asset is audited by our Platform Quality team for compliance with ad policies, exchange requirements, and legal regulations. • Machine learning is applied to detect suspicious patterns in impressions, clicks, and engagements. Continuous Monitoring and Post-Bid Analysis • Ongoing monitoring of inventory and ad serving to identify and remove fraudulent domains or suspicious activity. • Post-bid analysis with DoubleVerify ensures user actions are authentic and ads are viewable and fraud-free. User Controls and Transparency • Clients can enable/disable domains at the campaign or account level. • Transparent reporting allows clients to see exactly where their ads are served. Regular Inventory Review • Our teams regularly review platform spend and disapprove any suspicious or low-quality inventory.

StackAdapt offers several exclusive and unique inventory opportunities to help you maximize your campaign reach and performance. All these options are managed from a single view within the platform, making it easy to add, manage, and report on your inventory access: 1. Pre-Packaged Inventory Packages: Access curated packages of high-quality inventory from top publishers and exchanges. These packages are easy to browse, can be filtered by geography or channel, and provide estimated available impressions. 2. Custom Inventory Packages: Request completely custom packages tailored to your campaign needs, giving you control over the deals and allowing you to scale as needed. 3. Emerging Channels: StackAdapt is expanding into new and exciting channels such as in-game advertising, audio-podcasts, mobile performance in-app, and digital out-of-home (DOOH), providing early access to innovative inventory sources. 4. Strict Inventory Packages for Sensitive Brands: For brands in regulated or sensitive categories, StackAdapt offers specialized Inventory Packages to ensure compliance and safe delivery. 5. Live Sports: Emphasis is placed on providing buyers with access to exclusive tentpole events with NBCU, Disney, FOX, and others; NFL Playoffs, March Madness, and the 2026 World Cup

StackAdapt integrates with a wide range of SSPs (Supply-Side Platforms) to provide access to diverse inventory across channels. Here’s a summary of our current integrations and approach to future partnerships: • AdsWizz • AppLovin • Beachfront (Seedtag) • Broadsign • DAX • E-Planning • Equativ (Sharethrough) • Frameplay • FreeWheel • Fyber • Google • GumGum • Hivestack • Index Exchange • InMobi • Kargo • LiveIntent • LoopMe • Magnite (CTV and DV+, inclusive of Disney Live Certification) • Microsoft Monetize (not inclusive of Microsoft Curate, though we have a strong partnership with Microsoft and are capable of crafting any/all custom PMPs in this exchange leveraging our relationship) • Nexxen • OpenX • Place Exchange • PubMatic • PubNative • Smaato • Sonobi • Taboola • Teads • TripleLift • Triton Digital • Unity • Verve • VIOOH • Vistar Integration Approach: StackAdapt is SSP-agnostic and does not have a preference for any particular SSP. We continually evaluate and add new SSP integrations based on client demand, inventory quality, and strategic value. If a client requests inventory from an SSP we do not currently support, we assess the opportunity and may prioritize integration based on expected spend and resource availability. Within this, we we're typically able to turnaround a new integration in 6 weeks or less.

StackAdapt has a zero-tolerance policy for ad fraud and brand unsafe content. Here’s how these levels are determined and enforced: Strict Inventory Vetting: Every domain in our inventory is manually reviewed and approved by the Platform Quality (PQ) team. We operate on a whitelist-only approach, meaning only pre-approved, high-quality domains are eligible for campaigns. Fraud Detection Partnerships: We partner with DoubleVerify and Geo-Edge to monitor for invalid traffic, ad fraud, malware, and data leakage in real time, both pre-launch and during campaigns. Continuous Monitoring: Our PQ team regularly audits inventory and campaign performance, using machine learning and business intelligence to detect suspicious activity or low-quality traffic. Immediate Action: Any domain or creative found to be fraudulent or brand unsafe is removed or blocked from the platform as soon as it is detected. transparent Controls: Advertisers have full control to exclude any domains they find questionable, and can request further review by our PQ team.

StackAdapt’s multi-layered approach combines continuous fraud and brand safety monitoring with industry leaders (DoubleVerify, GeoEdge) and uniquely, a Platform Quality Team that manually reviews every single app and domain before it enters our marketplace. When unacceptable risk or fraud is detected, offending publishers are immediately blacklisted and removed, with buyers promptly notified and provided full transparency into mitigation steps. These controls, reinforced by ongoing manual auditing and dynamic system refinement, ensure that buyers are protected and supply quality remains uncompromised.

Fraudulent Domains: Sites known to be involved in ad fraud schemes are removed from inventory as soon as they are detected or exposed, Non-Human Traffic (Bot Traffic), Malware and Malicious Activity, Invalid Traffic, Ad Density and Intrusive Ad Placements: Suspicious Patterns in Impressions, Clicks, and Engagements, Contextual and Creative-Related Fraud

StackAdapt’s CTV fraud detection is robust, but there are a few limitations to be aware of: 1. CTV is a non-clickable channel, so traditional click-based fraud signals (like click spamming or click injection) do not apply. 2. Fraud detection relies on signals available in the bid stream and from supply partners, but CTV inventory is often more closed and less transparent than other digital channels, which can limit the granularity of fraud detection. 3. Some premium publishers have strict requirements and direct integrations, which help reduce fraud, but not all inventory sources offer the same level of transparency or control.

Yes, StackAdapt distinguishes between General Invalid Traffic (GIVT), such as known bots, spiders, and data center traffic filtered by IP, user-agent, and signature - and - Sophisticated Invalid Traffic (SIVT), including ad stacking, domain spoofing, device hijacking, and artificially manipulated user behavior, using machine learning, device fingerprinting, and multi-source behavioral analysis. StackAdapt’s layered approach combines proprietary algorithms and industry-leading verification partners to ensure rigorous detection and exclusion of both GIVT and SIVT before and after bidding. Clients receive transparent reporting, when available, that surfaces both categories of IVT supporting full campaign optimization and protection in accordance with IAB/MRC standards.

StackAdapt’s fraud detection technology is not dependent on VAST or VPAID compatibility. Instead, StackAdapt’s fraud prevention and brand safety measures are integrated directly into the platform and operate regardless of whether VAST or VPAID tags are used.

To enhance fraud prevention and protect against Made-for-Advertising (MFA) supply, StackAdapt employs a multi-layered supply quality strategy, including: Integration with Jounce to identify and classify MFA domains and non-quality sellers. Jounce’s reporting is built directly into our platform, giving clients actionable transparency. We use Jounce signals to block low-quality sellers in parallel with third-party verification partners. Pre-bid fraud detection through integrations with vendors like HUMAN to screen invalid traffic at the point of bid. Curated supply and proactive MFA exclusion across our exchange partnerships and PMP/private inventory pools. While StackAdapt does not maintain a blanket refund policy, we collaborate with clients and supply partners to investigate and remediate any validated fraud instances. Credits may be issued following a joint investigation and confirmation of invalid supply. Our platform’s focus on transparency and buyer control is designed to prevent fraud before it occurs, with strong reporting and escalation channels in place when further investigation is needed.

StackAdapt does not currently support third-party blocking tags, as our strategy prioritizes direct asset uploads and integrated pre-bid and post-bid brand safety controls to maximize quality, compliance, and platform performance. While it is technically feasible to enable blocking tags, our current approach is designed to prevent issues and latency up front rather than remediate after the fact. However, StackAdapt is committed to supporting strategic partners and can rapidly evaluate and enable new capabilities, including blocking tag support, should requirements or publisher needs make this advantageous.

StackAdapt provides detailed monthly reporting of both avoided and encountered fraudulent activity, including bot traffic, segmented by region using ISO-3166 country and region codes and, where available, broken down by fraud type. Reports can be customized to include campaign, supply source, or device type and are available in CSV, Excel, or via API for integration with your internal systems. Our detection models are continuously updated in partnership with leading verification vendors to ensure accuracy, transparency, and relevance to evolving fraud threats.

StackAdapt measures viewability using DoubleVerify, which applies the MRC (standard for defining a viewable ad impression. Accurate Measurement: DoubleVerify ensures that viewability is measured according to industry standards, giving buyers confidence in the quality of their impressions. Optimization: Buyers can set a Viewability Goal in the campaign editor. The platform will then optimize campaigns to achieve a viewability percentage that meets or exceeds this goal, helping maximize the impact of ad spend. Transparency: Viewability statistics are available as a separate column in the Campaigns Dashboard and on the Daily Stats page, allowing buyers to monitor performance in real time.

CTV viewability is assumed to always be 100%, but this is an industry standard assumption rather than a guarantee. Viewability metrics are not typically tracked for CTV devices like Set Top Boxes and Smart TVs, and reporting is often listed as N/A. For OTT, viewability may vary and can be optimized, but again, no formal guarantees are provided.

Yes, its possible to transact on a viewability benchmark. Setting Viewability Goals: In the campaign editor, you can set a Viewability Goal for both video and display campaigns. This instructs the platform to optimize towards placements that meet or exceed your specified viewability percentage. Optimization: Once a Viewability Goal is set, StackAdapt will prioritize inventory with historical viewability rates that meet your goal, helping ensure your campaign delivers against your benchmark.

Supported Channels: Native campaigns using CPC or CPE bidding, viewability is inherently guaranteed since advertisers only pay for clicks or engagements. Statistical Significance: Viewability stats are only shown after a statistically significant number of impressions have been served. This means you may not see viewability data immediately after launch. Reporting: Viewability metrics are available in the Campaigns Dashboard, Daily Stats, and Creatives page for video and display campaigns. Optimization: You can set a Viewability Goal in the campaign editor, which will optimize delivery toward placements with higher viewability rates. Channel Limitations: Some channels, such as blended in-game and DOOH, may have different measurement standards or may not support viewability tracking

StackAdapt does not currently enforce inventory availability to client seats based on specific viewability thresholds at the platform level; viewability is measured post-impression and made available for optimization and reporting. However, our architecture and supply integrations are designed to enable custom inventory curation, including by historical or real-time viewability, should this be required, with rapid implementation possible in collaboration with us and our supply partners. We routinely deploy custom PMPs and curated packages for clients with specialized needs and can extend this approach to meet agreed viewability criteria efficiently.

StackAdapt’s brand safety policy is built on a comprehensive, multi-layered approach to ensure a secure and high-quality advertising environment for our clients. Here’s how we achieve this: Inventory Quality Assurance: • We block IP addresses from known sources of non-human traffic. • We partner with DoubleVerify to prevent high-risk and fraudulent traffic. • Our Platform Quality team manually reviews and whitelists domains, ensuring only legitimate, brand-safe sites are included. Manual Domain Review: • We assess content category compliance, content quality, historic fraud rates, ad unit rendering, and ad density. • Known fraudulent or low-quality domains are removed immediately upon detection. Machine Learning: • For whitelisted domains, we use machine learning to detect suspicious patterns in impressions, clicks, and engagements. Ad Serving Quality: • All creative assets and landing pages are audited for compliance with StackAdapt’s policies, supply partner requirements, and legal regulations. • Post-bid analysis with DoubleVerify ensures user actions are authentic and ads are viewable and fraud-free. Ad Tag and Malware Monitoring: • We partner with Geo-Edge to scan ad tags for malware and data leakage, both before launch and during campaigns. Content Guidelines: • Strict policies prohibit fraudulent, deceptive, illegal, or disruptive content, as well as content that violates industry standards or local laws.

Yes, keyword exclusions can be applied. Language Support: Keyword exclusion is supported in multiple languages, including English, French, Spanish, German, Portuguese, Italian, Japanese, Chinese, and Arabic. When selecting Chinese, the platform auto-detects whether you are using Traditional or Simplified Chinese.

StackAdapt achieves high accuracy in detecting negative content, (including adult, alcohol, drugs, illegal downloads, hate speech, offensive language, and fake news), by combining proprietary machine learning models with real-time classification and risk scoring from industry-leading partners such as Integral Ad Science and DoubleVerify. StackAdapt’s detection rates for high-risk categories typically exceed 95% precision and recall, validated through internal QA and third-party audits, and are continuously improved through feedback from our Platform Quality Team and curated blocklists from trusted fact-checking sources. Clients have access to detailed brand safety reporting and granular controls to customize exclusion parameters to their specific requirements.

When spikes or unacceptable levels of ad fraud or brand safety issues are detected, StackAdapt follows a robust, multi-step process to protect buyers and address offending publishers: Real-Time Monitoring and Detection • We use automated systems and partnerships (e.g., DoubleVerify, Geo-Edge) to monitor inventory traffic and ad serving in real time for signs of fraud or brand safety violations. Immediate Action • If suspicious or high-risk activity is detected, StackAdapt’s Platform Quality (PQ) team investigates the issue promptly. • Offending domains or publishers are blocked or removed from our inventory as soon as they are exposed or detected. Manual Review and Audit • The PQ team manually reviews flagged domains, examining content quality, compliance with guidelines, and historic fraud rates. • Domains that do not meet our standards are disapproved and excluded from the platform. Ongoing Optimization • Our machine learning algorithms continuously analyze engagement and session rates, optimizing away from inventory that shows sustained low quality or suspicious behavior. Transparency and Control for Buyers • Buyers have full control to exclude any domains they find concerning directly within the platform. • Transparent reporting allows buyers to monitor where their ads are served and take action as needed. Regular Inventory Review • The PQ team regularly audits platform spend and inventory to ensure ongoing compliance and brand safety.

Yes, StackAdapt drives Supply Path Optimization (SPO) by prioritizing direct integrations with premium SSPs and publishers, minimizing auction duplication and maximizing inventory quality. StackAdapt’s advanced bidstream filtering and proprietary curation algorithms work in tandem with a real-time, auto-scaling infrastructure - unique among DSPs - to adapt instantly to supply dynamics and deliver brand-safe, transparent supply paths with detailed reporting. We actively leverage industry standards such as ads.txt and sellers.json to enhance supply path transparency and empower buyers with granular visibility and control, working closely with partners to maintain best-in-class SPO practices.

StackAdapt fully supports the app-ads.txt initiative, requiring all supply partners and publishers to maintain accurate app-ads.txt files, and routinely verify their presence and accuracy to ensure only authorized, legitimate mobile app inventory is available on our platform.

StackAdapt rates our organization as a 5 for industry leadership in supply chain transparency. This is substantiated by our proactive approach to direct SSP and publisher integrations that minimize intermediaries, real-time and auto-scaling monitoring infrastructure that uniquely adapts to changing supply dynamics, and advanced bidstream filtering with proprietary curation algorithms for supply quality. Unlike most DSPs, StackAdapt not only mandates but systematically and directly audits ads.txt, sellers.json, and app-ads.txt compliance for all supply sources, enforcing standards with both automated systems and human review of every domain and app, providing clients not just visibility, but rapid, decisive remediation and ongoing integrity of their supply paths.

StackAdapt is committed to supply path transparency and, where permitted by contractual agreements with supply partners, can provide regular reporting of sourcing partners. While most supply sources do not allow for public disclosure of this data, we are open to exploring tailored legal arrangements, particularly in scenarios where we holds direct SSP contracts and buys against private deals that permit broader data sharing. In all cases, StackAdapt will collaborate to maximize transparency and deliver as much partner-level reporting as is contractually allowed.

StackAdapt ensures compliance with GDPR, CCPA, and other privacy laws through a combination of processes and platform features focused on transparency, consent, and data handling, rather than direct identity verification of advertisers. Here’s how compliance is maintained: Client Responsibility for Consent and Data Collection: Clients are responsible for obtaining valid consent from consumers before collecting or using their data for marketing purposes. This includes ensuring that consent is explicit, informed, and documented, as required by GDPR and CCPA. Platform Controls and Audits: Within the platform, clients can designate the opt-in status of consumer records. StackAdapt may audit clients to ensure that proper consent has been obtained and that data handling aligns with privacy regulations. Sensitive Onboarding and Pre-Approval: For sensitive verticals (e.g., politics, cannabis), StackAdapt requires additional business information and, in some cases, signed addendums. This process helps verify advertiser legitimacy and compliance with legal requirements. Ad and Campaign Audits: All campaigns and creatives are reviewed by the Platform Quality team to ensure compliance with exchange specifications, industry regulations, and local laws. Non-compliant or suspicious ads are blocked. Data Processing Agreements and Legal Safeguards: StackAdapt’s Data Processing Agreement (DPA) outlines privacy practices and incorporates Standard Contractual Clauses for international data transfers.

StackAdapt provides advanced frequency capping and holistic cross-channel measurement for ATV/CTV campaigns: Flexible Frequency Cap Controls: Frequency caps can be set at the campaign level for CTV and also within multi-channel campaign groups, allowing precise management of exposures per user within defined intervals. Forecasting and Planning: The Forecasting tool incorporates frequency caps to accurately estimate audience reach and budget allocation across channels, enabling reliable, data-driven campaign planning at scale. Robust Reach & Frequency Reporting: Standard Reach and Frequency Reports are accessible directly in the platform, showing unique users reached and average frequency, broken out by campaign or campaign group, with selectable intervals (1, 3, 7, 14, or 30 days) and all-time metrics. Custom Reach and Frequency Reports enable users to define custom intervals (1–31 days) and group campaigns or channels for tailored analysis. Reports can be delivered by email or, if preferred, directly to a designated endpoint. StackAdapt is open to collaborating with your team to further refine or expand custom reporting workflows as needed. Incremental Reach Measurement, powered by partners such as SambaTV, quantifies the additional reach and frequency achieved by layering programmatic CTV on top of linear TV, including reach comparison charts and overlap analysis. Audience Insights Reports provide demographic, geographic, and interest-based breakdowns of reach and frequency, enabling deeper understanding of audience engagement for CTV campaigns. Identity Advantage: StackAdapt’s proprietary Derived User Identity Graph (DUID) blends deterministic and probabilistic identifiers, including 3rd party IDs and residential IP, to maintain a unified, persistent, and privacy-compliant user view across channels and devices. This enables accurate frequency management and cross-device measurement, even as the ecosystem shifts to cookieless environments. Innovative Collaboration: StackAdapt supports onboarding IP-based audience segments for targeting and suppression, enabling advanced frequency controls when external data is available

StackAdapt does offer advanced TV audience measurement and planning capabilities through partnership with Samba TV. This integration provides access to Samba TV’s automatic content recognition (ACR) dataset, enabling features like incremental reach forecasting and measurement for both streaming (CTV) and linear TV audiences. While transacting on TV currency doesn't exist today, we are always iterating on current capabilities and can explore this. It is possible to send log files including IP address to partners like VideoAmp to reconcile delivery.

Ad-podding / Live Events CTV specific advanced integrations currently on our roadmap include ad-podding (just released with Index Exchange, testing starting in Q3 with Magnite & FreeWheel, expected release in Q4) & several live event specific features. Live event specific features include, separate endpoint connections designed to better handle the QPS constraints while removing a concern for a disruption to non-live specific campaign activations (these are being worked on with Magnite, PubMatic, and OpenX), as well as creative API enhancements with FreeWheel (aimed to remove any creative related friction specific to live activation), and advanced day-parting based on live event scheduling (being tested and completed with Index Exchange in Q3). StackAdapt’s roadmap includes several potential integrations to expand and deepen our CTV/ATV capabilities. These initiatives are currently in active exploration and subject to change based on partner timelines and technical readiness. Planned Enhancements: Samba TV Expansion – UK We are working with Samba TV to extend ACR-based planning and measurement capabilities into the United Kingdom. Early availability is anticipated by late 2025, pending partner deployment. OZTAM Integration – Australia Discussions are underway to integrate with OZTAM, aiming to support local TV planning and measurement in the Australian market. TL1 Integration – EMEA StackAdapt is evaluating TL1 as a regional partner to enable richer linear and CTV data across key European markets. EDO Partnership – U.S. We are exploring an integration with EDO to measure the impact of TV and CTV ads on post-exposure search behavior. This would help advertisers link media exposure with real-time consumer intent signals. Gracenote Integration – Global StackAdapt is planning an integration with Gracenote to enable show-level contextual targeting and reporting across CTV and linear TV. This will support more precise alignment between ad messaging and program content, and enhance transparency into where ads run."

StackAdapt offers ACR data capabilities for Advanced TV through a strategic partnership with Samba TV. Source of Data: Samba TV collects ACR data by embedding software directly into the firmware of smart TVs. They also partner with TiVo to incorporate set-top box (STB) data, enhancing the breadth and accuracy of viewership insights. Capabilities: Using this data, StackAdapt has built several in-platform solutions for planning, targeting, and measurement: Incremental Reach (IR) Forecaster & Planner (Free): Enables clients to search for a specific linear TV creative, add filters and view a forecast of net-new households reachable via CTV. Campaigns can be launched directly from the planner. 24-Hour Incremental Reach Measurement (CPM): Provides a live dashboard showing reach and frequency across linear and CTV within 24 hours of campaign launch. Clients can optimize budgets mid-flight. Linear TV Retargeting / Conquesting (CPM): Includes off-the-shelf and custom segments (built in 24 hours) to retarget or exclude households exposed to specific linear TV ads, including competitor ads. CTV & Linear TV Performance Measurement (CTV: Free; LTV: CPM): Connects CTV and linear TV exposures to outcomes like web visits, conversions, and sales, allowing for bottom-line performance analysis. These capabilities support retargeting, competitive conquesting, and incremental reach across programmatic channels. Market Limitations & Coverage: Available in the US, Canada, and Australia. Additional European markets can be enabled upon request.

StackAdapt uses a combination of proprietary technology and industry-leading partnerships to ensure robust ad fraud detection and brand safety: Proprietary Technology & Processes: • Whitelist-Only Inventory: StackAdapt operates on a strict whitelist approach, meaning only pre-approved, high-quality domains are available for campaigns. Our Platform Quality team manually reviews and vets every domain before it’s added. • Machine Learning: We leverage machine learning to detect suspicious patterns in impressions, clicks, and engagements, continuously optimizing away from low-quality or fraudulent inventory. • Session/Engagement Rate Tracking: Our algorithms monitor user engagement (e.g., time spent on page after clicking) and automatically block inventory with sustained low engagement, which is often indicative of fraud or low-quality sites. Third-Party Partnerships: • DoubleVerify: We partner with DoubleVerify for real-time fraud prevention and brand safety, monitoring predictive quality scores for every ad impression and user action. • GeoEdge: Our partnership with GeoEdge allows us to scan and monitor ad tags for malware and data leakage, both pre-launch and in-flight. • Ad Lightning: All creatives are automatically scanned for malware or malicious activity before going live. • Jounce Media: We use Jounce Media’s data set to help identify and filter out Made-for-Advertising (MFA) sites and other low-quality inventory. Ongoing Monitoring & Auditing: • Continuous Audits: The Platform Quality team regularly audits campaigns and inventory, removing any domains found to be fraudulent or brand unsafe. • Real-Time Monitoring: We monitor inventory traffic from exchanges in real time, blocking known sources of non-human or high-risk traffic (e.g., server farms, web hosting providers). • Post-Bid Analysis: After campaigns launch, we conduct post-bid analysis to ensure user actions are authentic and ads remain viewable, fraud-free, and brand safe. 4. Tolerance Level: • Zero Tolerance Policy: StackAdapt maintains a zero-tolerance approach to ad fraud and brand unsafe content. Any inventory or creative found to be fraudulent, non-compliant, or unsafe is immediately removed or blocked from the platform. • Strict Compliance: We work closely with legal counsel to ensure all ad policies align with global and local regulations, and we proactively flag and address any compliance issues before campaigns launch.

Domain inclusion/exclusion is flexible and can be set at all hierarchical levels, including at the account-, advertiser-, campaign group-, and campaign-levels.

Negative keyword blocking in StackAdapt is available at both the account and campaign levels, enabling flexible and targeted control. There is no hard limit on the number of negative keywords, and while certain sensitive terms are restricted by industry standards, our Platform Quality team provides clear guidelines and compliance support. Content labels and sensitive category exclusions are also managed in the campaign editor, with categories like Adult, Alcohol, or Gambling accommodated through streamlined compliance and onboarding processes.

Viewability stats are only shown once a statistically significant number of impressions have been served. This means you may not see viewability data immediately after Technical Limitations: Not all supply sources or placements may support viewability measurement due to differences in how inventory is served or technical constraints from publishers or SSPs. As a result, some impressions may not be measurable for viewability.

At the time of each bid request, the ML model evaluates multiple signals (such as user behavior, inventory quality, device type, and more) to determine the optimal bid price. The system automatically adjusts bids to maximize the likelihood of winning high-value impressions while minimizing costs.This process helps ensure your budget is spent efficiently, focusing on inventory and audiences most likely to deliver your desired outcomes (e.g., clicks, conversions, engagements).

To enhance fraud prevention and protect against Made-for-Advertising (MFA) supply, StackAdapt employs a multi-layered supply quality strategy, including: Integration with Jounce to identify and classify MFA domains and non-quality sellers. Jounce’s reporting is built directly into our platform, giving clients actionable transparency. We use Jounce signals to block low-quality sellers in parallel with third-party verification partners. Pre-bid fraud detection through integrations with vendors like HUMAN to screen invalid traffic at the point of bid. Curated supply and proactive MFA exclusion across our exchange partnerships and PMP/private inventory pools. While StackAdapt does not maintain a blanket refund policy, we collaborate with clients and supply partners to investigate and remediate any validated fraud instances. Credits may be issued following a joint investigation and confirmation of invalid supply. Our platform’s focus on transparency and buyer control is designed to prevent fraud before it occurs, with strong reporting and escalation channels in place when further investigation is needed.

Yes, StackAdapt provides full auction transparency. You can see exactly which sites your ads were displayed on by navigating to Reports > Inventory > Domains in the platform. This allows you to review domain-level reporting and apply filters as needed. Domain stats are available after a campaign has been live for up to 5 hours. Regarding Supply Chain reporting, StackAdapt is fully transparent about placements and sites, ensuring high-quality inventory.

With StackAdapt, you can leverage existing bid modifiers to build your own custom algorithm directly within the platform. This gives you flexibility and control, while maximizing efficiency and savings. Use dimension bid modifiers (such as device, geo, time of day, audience, etc.) to adjust your bidding strategy based on your unique campaign goals. It's possible to couple bid modifiers with Dimension allocation -- to give precise control over how campaign budgets are distributed across campaign dimensions. The dimensions available include budget distribution, performance prioritization, inventory, and creative assets.

StackAdapt offers a robust suite of advanced optimization controls to help you maximize campaign performance and efficiency. Volume Control: Manage and cap percentage of impressions allocated to specific devices, supply sources, or domains by setting daily or lifetime caps, and use dayparting to control delivery by hour and day of the week. Custom Goals: Set specific performance goals in the Bid & Goal section, such as CPC, CTR, CPCV, or CPA targets. Bid Modifiers (Bid Factoring): Apply bid factors to adjust bids for specific dimensions like device type, supply source, audience segment, or geo-location. Bid Lists:Include or exclude specific domains, categories, or supply sources based on performance data. MultiGoal: The Multi Goal feature allows you to set and optimize for multiple key performance indicators (KPIs) within a single campaign, rather than being limited to just conversions or awareness & engagement. You can now choose from a wider range of goals, such as Unique Reach, eCPM, CPC, CTR, CPE, ROAS, and more. The available goals depend on your campaign type. You can add up to 5 goals per campaign and set a target value. You can enable ""strict"" for your top priority goal to ensure it's met before optimizing for others. From there, you can drag and drop other goals in priority order as needed.

StackAdapt is engineered to integrate seamlessly with your internal data assets, supporting insights powered by things like round-tripping of identities, ingestion of your attributed events, and direct connections to your analytics and measurement environments. Unlike most DSPs, we don’t just make data available or push it into your systems, we actively collaborate with your teams, providing analytics and engineering expertise to co-develop new pipelines, integrations, and methods for extracting meaningful insights tailored to your business logic. Alongside this partnership-driven model, StackAdapt delivers granular campaign analytics, brand lift and footfall attribution, and real-time access to all data via platform UI, flexible APIs, and streaming.

StackAdapt works with 417+ data partners: *180byTwo from Anteriad, #Crosswalk by Stirista, #Home by Vendigi, 123Push, 33Across, Aberdeen_SF, Acxiom, Acxiom DE, Acxiom Global, Acxiom Health, Acxiom Internal, AdAdvisor, Adprime Health, Adsquare, Adstra, Adstra (formerly ALC), Affinity Answers, Affinity Solutions, ALC, Alike Audience, Alikeaudience, Alliant, Always On Data, AMER Polk Audience Solutions, AnalyticsIQ, ANZ Affinity Answers, APAC Bombora, APAC Polk Audience Solutions, APAC Selling Simplified, Arcanor, Archetype, Asia Affinity Answers, ASL Marketing, ASL Marketing (by Deep Sync), AT GDR, AT GfK, AT GfK - Purchasing Power, AT OmniDIGITAL by MeritDirect, Atlas, Attain, AU DBM Atlas, AU Defind, AU Digifish, AU Dynata, AU Equifax, AU Experian, AU Experian - Meshblock, AU GDR, AU GfK, AU GfK - Purchasing Power, AU Interplay Media, AU List Factory, AU RDA Research, AU RDA Research - SA1, AU reDIAL / DIGIfish, AU Roy Morgan, AU smrtr, AU YouGov, Audience Acuity, Audience Synergy, Audience Town, Audigent, BDEX, BE GDR, Big-Village, Blis, Bombora, BR YouGov, Bridge, CA Environics Analytics, CA GDR, CA GfK, CA GfK - Purchasing Power, CA Goldfish Ads, CA Selling Simplified, CA YouGov, CACI UK, Captify Media, Care2, Causeway Solutions, CH GDR, CH GfK, CH GfK - Purchasing Power, CH OmniDIGITAL by MeritDirect, Circana (fka IRI + NPD), Claritas, Clickagy, Clickagy: a ZoomInfo Company, CognitiveIQ, Commerce Signals, Compact Information Systems (by Deep Sync), Compass from Anteriad, Comscore, Connected Interactive, CoreLogic, CPG Health, Cross Pixel, Cuebiq, Cybba, CZ GfK, CZ GfK - Purchasing Power, D&B, D&B - Lattice, D&B - MDR, Data Axle (fka Infogroup), Datastream Group, Datasys, DE AutoScout24, DE Dynata, DE Experian, DE GDR, DE GfK, DE GfK - FMS, DE GfK - Purchasing Power, DE Global Data Resources, DE Kantar, DE OmniDIGITAL by MeritDirect, DE Schober, DE Transunion, DE YouGov, DK GfK, DK Nordic Data Resources, DMD, Dollar General, Drako, Drako Media, Dstillery, Dun & Bradstreet, Dynata, Edmunds, EMEA Expandi Group, EMEA Selling Simplified, Epsilon, Epsilon Compiled, Equifax IXI, ES Dynata, ES Experian, ES GDR, ES GfK, ES Gfk - Purchasing Power, ES Global Data Resources, ES Polk Audience Solutions, ES YouGov, EU Affinity Answers, Everyday Health Group, Evorra, Experian, Experian - UK, Eyeota, Eyeota - Contextual Classification, Eyeota Powered by Ibotta, Factual, FI Global Data Resources, FI Nordic Data Resources, Fluent, Foursquare, FR Dynata, FR Experian, FR GDR, FR GfK, FR GfK - Purchasing Power, FR Global Data Resources, FR Kantar, FR Kantar Media, FR OmniDIGITAL by MeritDirect, FR YouGov, Giant Eagle LEAP, Global Affinity Answers, Global Anteriad, Global Audience Logic, Global Bombora, Global ComScore, Global Dun & Bradstreet, Global Experian Worldview, Global Gourmet Ads Data, Global HG Data, Global Intuition, Global Lifesight, Global Playwire, Global ShareThis, Global Sovrn, Global Startapp, Global TL1MKT, Global Ziff Davis, Gravy, GroundTruth, Hattrick Data, Healio, Health Union, HealthLink Dimensions, HealthRankings, HealthVerity, HK Affinity Answers, HomeData (by Deep Sync), i360, Ibotta, ID Affinity Answers, ID Audience Logic, ID Roy Morgan, ID YouGov, iMedical Data, IN Affinity Answers, IN Affle, IN Audience Logic, IN YouGov, Infutor Data Solutions, Inmar, InMarket, Innovation Labs, Internet Access UK, Ipsos Affluent powered by Acxiom, IRI, IRI + NPD are now Circana, IT Dynata, IT GDR, IT GfK, IT GfK - Purchasing Power, IT Global Data Resources, IT Polk Audience Solutions, IT Vendor Central, IT YouGov, IXI Digital, Jingle Jangle - Arpita, JP Affinity Answers, Kantar EU, Kantar EU/UK, Kantar Media - FR, Kantar US, Klover, L2 Data, L2 Political, LATAM Affinity Answers, LATAM Selling Simplified, LBDigital, Life360, Lighthouse List - Ameribase Digital, LiveRamp France, LoopMe, Lotame, Magenta Marketing Platform f.k.a PushSpring, MCH Strategic Data, MedData Group, Merchant Resource Group, MeritB2B, MeritB2B from Anteriad, MeritDirect, MeritDirect (Acxiom EU), MMS, MRI powered by Acxiom, MRI-Simmons, MX YouGov, MY Affinity Answers, MY Astro, MY Audience Logic, MY YouGov, NCR Behavioral powered by Acxiom, NCS, NetWise, nielsen, NinthDecimal, NL GfK, NL GfK - Purchasing Power, NO GfK - Purchasing Power, NO Global Data Resources, NO Nordic Data Resources, NRG, NZ DataIQ, NZ DOT Loves Data, NZ Equifax, NZ Experian, NZ GfK, NZ RDA Research, NZ Roy Morgan, OmniDIGITAL Intent by MeritDirect, OnAudience, Onyx Project, Path2Response, PeoplefindersDaaS, PersistentID, PH Affinity Answers, PL GfK, PL GfK - Purchasing Power, PlaceIQ, Planet Fitness, Playwire, Plural, Polk Audiences by S&P Global Mobility, Porch Group Media (fka V12), Powerlytics_SF, Precision Audiences, Prosper Powered By Dynata, Publishers Clearing House, PurpleLab, Quorum, RainBarrel, RediData, Regal Entertainment Group, Reklaim, Resonate, RevOptimal, Rippl by Bridg, RRD (fka Valassis Digital), Rushmore Labs, SalesIntel, Samba TV, Scanbuy, SE Dun & Bradstreet - Bisnode, SE GfK, SE GfK - Purchasing Power, SE Global Data Resources, SE Nordic Data Resources, SEA ShareThis, Semasio, Semcasting, SG Affinity Answers, SG Dynata, SG Sgcarmart, SG YouGov, ShareThis, ShareThis powered by Acxiom, Skydeo, SMS, Sports Innovation Lab, Starcount_SF, Start.io, Start.io (formerly StartApp), StartApp, StatSocial, Stirista, Stirista Higher Education, Swoop, TH Affinity Answers, TH YouGov, Think Data Group, TL1, TR GfK, TR ReklamStore, TransUnion, TrueData, TrueData (previously Twine), Tunnl, TVision, TW OneDATA, Twenty CI, UAE Affinity Answers, UK CACI, UK Data Locator, UK Data Locator (DLG), UK Dynata, UK EQ Data, UK Equifax, UK ESB Connect, UK esbconnect, UK Experian, UK GDR, UK GfK, UK GfK - Purchasing Power, UK Global Data Resources, UK Goldfish Ads, UK Ipsos iris, UK IRI, UK Kantar, UK Kantar Media, UK Litmusphere, UK OmniDIGITAL by MeritDirect, UK Outra, UK Polk Audience Solutions, UK Starcount, UK Transunion, UK YouGov, Ultimate Data, UPE Seller, US 33Across, US 4SIGHT, US 9D, US Affinity Answers, US AnalyticsIQ, US Claritas, US Data Axle (fka Infogroup), US Dun & Bradstreet - MDR, US Dynata, US Epsilon, US Experian, US GDR, US GfK, US GfK - Purchasing Power, US Goldfish Ads, US Healthcare, US Ibotta, US inMarket, US IRI, US Katalyst, US Lighthouse List, US Media Source Solutions, US Plunge Digital, US Powerlytics, US Selling Simplified, US ShareThis, US Sovrn, US Starcount, US Stirista, US Wiland Ultimate, US YouGov, V12, Valassis Digital, Vericast (fka Valassis Digital), Verisk, Webbula, Weborama Inc, Western Union - USA, What If Media Group, Windfall, Windfaller, YouGov - France, YouGov - UK, Ziff Davis, ZoomInfo

Default File Fields (18 total): Request Time Auction ID Campaign ID Inventory Type Creative ID IP Address Device ID Bid Type Domain City Browser Latitude Longitude Cost Impression Click Conversion Time on Site

Delivery Dimensions Fields (28 total): Timestamp UTC Site Name Site Language Site Publisher Name Domain Subdomain Advertiser Category Contextual Category Browser Operating System Device Type Device Make Device Language Supply Type Banner Width Banner Height Duration Segment Names Demo (Age, Gender, HHI) Country Region DMA City Zip Code Latitude Longitude App Name App Publisher Name

Conversion Metrics Fields (9 total): Clicks Conversions Secondary Conversions Deduped Conversions Deduped Secondary Conversions Impression to Conversion Time Click URL Conversion From Secondary Conversion From

Video Metrics Fields (12 total): Video Starts Video 25% Video 50% Video 75% Video Completion Audio Starts Audio 25% Audio 50% Audio 75% Audio Completion measurable View Skippable Video