Programmatic Video – App Tracking

iOS & Android Tracking Foundation for App Campaigns

Programmatic Video campaigns can drive app installs and in-app activity. Turning this data into meaningful insights requires accurate tracking and attribution. This page outlines Digitl’s solutions for comprehensive app tracking, measurement, and audience insights.

App Attribution, Measurement, and Audience Insights

Open Measurement SDK

The Open Measurement (OM) SDK, developed by the IAB Tech Lab, is integrated into DV360 to enable standardized third-party viewability and verification measurement for in-app ads. It allows advertisers to assess whether an ad was actually seen (viewability) and verify its delivery context without requiring multiple vendor-specific SDKs. Advertisers can set viewability thresholds (e.g., 70% viewable for 2 seconds) and prioritize OM SDK-enabled inventory at the line-item or advertiser level. This ties directly to OM SDK’s role in providing standardized signals.

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In-App Events

DV360 links with Google’s Firebase for seamless tracking of app installs and in-app events on Android and iOS. No additional app code changes are needed post-setup, making it user-friendly. For advertisers needing custom data, DV360 supports server-to-server (S2S) tracking with third-party tools with some additional technical setup.

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Attribution Modelling

Understanding which ads drive conversions in apps is trickier due to fragmented ecosystems and limited cookie availability. DV360 uses Floodlight tags for in-app conversion tracking, offering attribution models like data-driven attribution (via Campaign Manager 360 integration). This leverages machine learning to assign value to touchpoints across app and web. In-app environments often lack persistent identifiers, so DV360 may model conversions using historical data when device IDs are unavailable.

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Audience Targeting & Reach

App tracking enables building audience lists based on in-app behavior, crucial for retargeting and optimization in DV360. It uses Google’s ecosystem (e.g., Google Play data) and third-party audience segments to target users. In-app events tracked via Firebase or Floodlight feed into audience creation. The Insights module reports unique reach metrics, distinguishing app-based impressions from other channels, in accordance to measurability of the inventory (e.g., OM SDK-enabled).

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Apple AdAttributionKit

Introduced in iOS 18 (late 2024), AdAttributionKit replaces SKAdNetwork as Apple’s privacy-centric attribution solution, impacting DV360’s iOS app tracking. It offers more granular, aggregated reporting (e.g., conversion values, click data) than SKAdNetwork while preserving user privacy via on-device processing and delayed reporting. Furthermore, AdAttributionKit supports post-install event tracking beyond just installs. DV360 adapts to AdAttributionKit for iOS campaigns, enhancing conversion insights without IDFA. Exact implementation details may evolve. Ultimately, the new evolution of Apple's framework balances privacy and measurement better than SKAdNetwork, providing aggregated, not user-level data.

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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 active it 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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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.

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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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