Programmatic Video – User Segmentation

Audience Strategy for Programmatic Video: Data-Based Definition of Audiences, Customer Journeys, and Workflows

Programmatic Video offers powerful opportunities to engage audiences – but only when strategies are based on structured, data-driven segmentation. From understanding the customer journey to activating dynamic audiences, effective targeting starts with a solid foundation. Here's how advanced segmentation drives performance.

Programmatic Video Audience Strategy: Concept, Technical Setup, and Activation

Audience Concept & Strategy

Structured approach to develop a wholistic audience strategy for Programmatic Video. Understanding of the target audiences by identification of their key characteristics, interests, demographics, and online behavior by analysis of reporting data in Programmatic Video and Google Analytics. Documentation of different audiences, similar audiences and their customer journeys with triggers and action points that accompany their customer journey. Set up of audiences, including consent management, to respect the users´ choices. Continuous analysis and reporting of audience performance and adjustment to maximise the KPIs of Programmatic Video campaigns.

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Similar Audiences & Lookalike Segments to Increase Reach

Development of a Similar Audience strategy to extend reach and find new prospects. Usage of first-party data as a seed-list to feed the lookalike segments feature in Programmatic Video to target new users with similar characteristics and online behavior. Continuous analysis of audience performance to set the perfect bidding strategy and monitoring of key metrics such as reach, engagement, conversion rates and cost per acquisition to make adjustments to the seed list, targeting parameters, and lookalike expansion criteria to improve the accuracy and effectiveness of the audience targeting.

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Smart Remarketing with Efficient Frequency Cap

Smart remarketing optimizes Programmatic Video by efficiently managing frequency capping. Instead of overwhelming users with repeated ads, smart remarketing analyzes user behavior to determine optimal ad exposure. It avoids excessive frequency, preventing ad fatigue and wasted budget. By focusing on users more likely to convert, smart remarketing maximizes impact. This data-driven approach personalizes the remarketing experience, delivering relevant ads at the right time and frequency. Efficient frequency capping improves campaign performance, enhances user experience, and boosts ROI by minimizing wasted impressions and maximizing engagement.

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AI-Based Scoring of Users

AI-powered user scoring revolutionizes Programmatic Video targeting. By analyzing vast datasets, AI models predict user likelihood to convert. This allows for dynamic bidding strategies, prioritizing high-scoring users. Ads are shown more frequently to those predicted to engage, maximizing campaign impact. Conversely, low-scoring users receive fewer impressions, optimizing budget allocation. AI-driven scoring personalizes the ad experience, delivering relevant ads to the most receptive audience. This data-driven approach improves conversion rates, reduces wasted spend, and increases overall campaign performance by focusing on the most promising prospects.

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Continuous Testing & Reporting

Continuous testing and reporting are crucial for optimizing Programmatic Video user segmentation strategies. Regularly experiment with different segmentation approaches, like demographics, interests, or behavior, to identify what resonates best with your target audience. A/B testing ad copy and targeting parameters within each segment allows for data-driven optimization. Track key metrics, such as conversion rates and cost per acquisition, for each segment to understand performance. Reporting on these results provides valuable insights for refining segmentation strategies, ensuring your ads reach the most receptive users and maximizing campaign ROI. This iterative process of testing and reporting ensures continuous improvement.

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Analysis & Reporting

Analysis of the performance of different segments by tracking key metrics like conversion rates, cost per acquisition, and click-through rates. Identify which segments are most profitable and which require adjustments. Reporting should visualize these performance differences clearly, allowing for data-driven decisions. Use segmentation insights to refine targeting, ad copy, and bidding strategies. Regularly analyze and report on segment performance to optimize campaigns, maximize ROI, and ensure your ads reach the right audience with the right message.

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Additional Services by Digitl for Programmatic Video

Marketing Technology Services that support Programmatic Video teams with knowledge and resources about Tech and Data.

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Implementation

Setup and integration of Programmatic Video advertising within marketing infrastructure, including the implementation of triggers and tags for performance tracking and advanced analysis.

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AI

Gemini, ChatGPT and other AI models to increase efficiency of media buying and optimization of workflows by using AI Agents and GenAI modules.

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Dashboards & Reports

Automated aggregation of data for KPI reporting to analyse the effect and performance of Programmatic Video campaigns. Creation of appealing Dashboards that go beyond pure metrics.

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Data Integration

Integration of Offline, CRM or User data. Use predictions or other KPIs in your marketing technology infrastructure to activate them with Video campaigns.

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Process Automation

Orchestration of automated workflows in AWS, Azure or Google Cloud for data activation, predictions, advanced analysis or reporting to drive efficiency of Programmatic Video campaigns.

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Advanced Analysis

Advanced analysis of Programmatic Video campaigns with audience demographics, content performance analysis, and cross-channel attribution modeling to understand its true impact.

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Attribution

Advanced attribution modeling for Programmatic Video, beyond last-click analysis to understand the customer journey and assign credit across various touchpoints for accurate measurement of campaign effectiveness.

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Marketing Mix Modeling

Marketing Mix Modeling (MMM) to analyze the impact of Programmatic Video campaigns on overall marketing performance or use statistics for incrementality testing to understand the added value on performance or branding KPIs.

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App Tracking

App tracking data – including installs, in-app events, and post-install conversions – for KPI reporting to analyze the effectiveness of Programmatic Video campaigns and support app engagement and acquisition.

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Advanced Services

Custom technical solutions, data integration, scripts or workflow orchestration for advanced marketing technology stacks or in Cloud platforms (AWS, Azure, Google Cloud) to maximize efficiency.

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Tech Audit

Technical audit of Programmatic Video campaigns to evaluate the integrity and efficiency of tracking implementations. This includes a comprehensive review of pixels, tags, and audience lists to ensure accurate data collection and attribution.

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