Programmatic Video – Advanced Analysis
Programmatic Video – Advanced Analysis
Custom Campaign Analysis and Data Activation with APIs, Data Science, and Process Automation for Efficient Marketing
Custom Campaign Analysis and Data Activation with APIs, Data Science, and Process Automation for Efficient Marketing
Programmatic Video offers powerful opportunities – but unlocking its full potential requires more than delivery and reach. With advanced analysis and automation, advertisers gain the insights needed to optimize performance at scale. Discover how data-driven workflows enhance every stage of your video strategy.
Custom Campaign Analysis and Data Activation with APIs, Data Science, and Process Automation for Efficient Marketing
Custom Campaign Analysis and Data Activation with APIs, Data Science, and Process Automation for Efficient Marketing
Programmatic Video offers powerful opportunities – but unlocking its full potential requires more than delivery and reach. With advanced analysis and automation, advertisers gain the insights needed to optimize performance at scale. Discover how data-driven workflows enhance every stage of your video strategy.
Advanced Measurement & Audience Strategies for Programmatic Video
Advanced Measurement & Audience Strategies for Programmatic Video
Predictive Audiences
Predictive Audiences
Digitl uses custom machine learning models to turn first-party data – such as CRM profiles and website behavior – into predictive audience segments. Each user can then be scored on their probability to convert, churn, or reach a certain lifetime value. The output is a dynamic, high-propensity audience segment that can be activated directly in programmatic video campaigns, ensuring that media spend is concentrated on users with the highest potential value. Furthermore, this high-propensity segment serves as a powerful seed list for creating lookalike audiences, enabling scalable prospecting campaigns that target new users with a similar likelihood to become valuable customers.
Engagement Scoring
Engagement Scoring
Standard video metrics like completion rates often fail to distinguish between passive viewership and active user engagement. Engagement Scoring offers a more nuanced methodology to measure the true quality of an ad interaction. This approach combines multiple data points – such as viewability, audibility, time-on-screen, and user-initiated actions like clicks or unmutes – into a single, weighted score. By analyzing these scores, advertisers can optimize towards placements, creatives, and audiences that capture genuine attention, leading to better brand recall and higher-quality campaign outcomes than optimizing on surface-level metrics alone. Furthermore, these scores enable the creation of powerful 'Highly Engaged' audience segments for direct activation, whether for sophisticated remarketing strategies or as a high-quality seed list for lookalike modeling.
Regression-Based Analysis
Regression-Based Analysis
Regression-based analysis provides a statistical framework for quantifying the direct impact of programmatic video campaigns on key business outcomes, moving beyond simple correlation. This analysis uses historical performance data to model the relationship between campaign variables (such as spend, frequency, or audience segment) and a defined KPI (like sales or sign-ups). The model isolates the contribution of each marketing lever while controlling for external factors like seasonality. The result is a clear, data-driven understanding of which campaign elements are most effective at driving results, informing future budget allocation.
Marketing Mix Modeling
Marketing Mix Modeling
Marketing Mix Modeling (MMM) offers a top-down, strategic analysis to determine the effectiveness of different marketing channels and their collective impact on business outcomes. By analyzing aggregated historical data – typically over several years – MMM quantifies the contribution of each channel, including programmatic video, to a macro KPI like total sales or revenue. As it works with aggregate data, it is a privacy-centric approach that does not rely on user-level tracking. The insights are used to optimize high-level budget allocation across the entire marketing portfolio and inform long-term investment decisions.
Additional Services by Digitl for Programmatic Video
Additional Services by Digitl for Programmatic Video
Marketing Technology Services that support Programmatic Video teams with knowledge and resources about Tech and Data.
Implementation
Implementation
Setup and integration of Programmatic Video advertising within marketing infrastructure, including the implementation of triggers and tags for performance tracking and advanced analysis.
AI
AI
Gemini, ChatGPT and other AI models to increase efficiency of media buying and optimization of workflows by using AI Agents and GenAI modules.
Dashboards & Reports
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.
Data Integration
Data Integration
Integration of Offline-, CRM- or User data. Use predictions of Programmatic Video or other KPIs in your marketing technology infrastructure to activate it with advertising campaigns.
Process Automation
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.
Attribution
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.
Marketing Mix Modeling
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.
User Segmentation
User Segmentation
First-party data based on demographics, interests, behavior, and engagement patterns to activate audiences or analyze the effect and performance of Programmatic Video campaigns.
App Tracking
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.
Advanced Services
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.
Tech Audit
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.
Are you interested?
Are you interested?
Contact us today to start your journey towards digital success!
Contact us today to start your journey towards digital success!
Trusted by industry leaders
Trusted by industry leaders
