Marketing had no way to attribute installs, compare paid channels, or build first-party audiences for a leanback 21-35 audience split across free and subscription tiers. I devised a data strategy, working with engineering, to implement Adjust across Android, iOS, Fire TV, and Roku and forward conversion events server-side to power lookalike, churn-risk, and exclusion audiences.
Role Led the data strategy for Adjust attribution and server-side CDP forwarding, partnering with engineering on implementation
Joyn's 21-35 leanback viewers needed to be acquired efficiently across ad-supported and subscription paths, with spend that could be justified by ROI.
Campaigns had to drive installs for both ad-tolerant free-tier users and users willing to subscribe for an ad-free originals catalogue.
Paid search, social, and affiliate channels all competed for budget, but with no attribution mix to show which drove the best ROI.
Marketing had no way to build lookalike, churn-risk, or exclusion audiences from first-party behavioral data.
Audiences were the goal, but first the basics were missing: a way to capture installs, a consistent spec across four platforms, and a path to get that data to vendors.
Without an MMP in place, app installs and in-app conversion events couldn't be tracked or attributed to a specific campaign.
Android, iOS, Fire TV, and Roku each needed consistent tracking and deep-link support for influencer and paid campaigns.
Marketing vendors needed conversion events forwarded server-side to optimize campaigns, with no pipeline in place to do it.
A data strategy paired Adjust's attribution layer with a server-side CDP, closing the loop from install to campaign optimization.
Implemented Adjust across the app to capture and attribute install campaigns, with custom trackers and deep links for influencer marketing.Adjust · attribution
Captured and forwarded conversion events server-side using a customer data platform such as Segment or Rudderstack.Segment · Rudderstack
Forwarded attributed conversion data from Adjust to marketing vendors so paid search, social, and affiliate campaigns could self-optimize.Vendor feeds · optimization
Enabled lookalike, churn-risk, and exclusion audiences in marketing platforms, and ran apple search and SKAdNetwork campaigns on first-party signals.Lookalike · SKAdNetwork
Attribution and audience data now flow continuously from app install through to vendor optimization, letting marketing identify the best-performing channels and reallocate spend in near real time.
Adjust's fraud detection protects budget across all four platforms from invalid installs and clicks.
The Adjust-to-CDP forwarding pattern extends to any future marketing vendor without new app instrumentation.
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