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Mobile Dev Memo
Platforms like Facebook's Value Optimization (VO) and App Event Optimization (AEO), along with Google's Universal App Campaigns (UAC), now manage ad delivery.
Key Change. Mobile marketing has shifted from manual targeting based on LTV/CPI metrics to algorithmic, event-based bidding models.
Mobile marketing is being reshaped by the shift of Facebook and Google toward event-based bidding, and this April 2018 analysis argues that marketers must adapt their role rather than resist the change. Facebook's Value Optimization and App Event Optimization strategies, along with Google's Universal App Campaigns, move targeting and bidding into algorithmic delivery systems. Developers have voiced concern over the resulting loss of control and transparency, and over how well these black-box systems find the right audiences.
The central thesis rests on two premises: algorithms are objectively faster and more efficient than humans at targeting and bid adjustment, and algorithmic bidding is the permanent new status quo. Campaign optimization is work that marketers should willingly cede. The question is how the user acquisition function should evolve in response.
The analysis contrasts two eras. In the 2012–2015 "LTV > CPI" paradigm, marketers set static targeting parameters and judged performance by the spread between lifetime value and cost per install, adjusting bids or pausing campaigns when costs exceeded value. In the current model, traffic providers control targeting and optimize against events reported back from user cohorts. Targeting persists but migrates upstream and downstream in the funnel: creative becomes the new targeting mechanism, since ad content determines which demographics click, install, and pay.
Marketers therefore become both creative directors and data analysts, supplying creative inputs and event signals that drive return on ad spend for a given budget. LTV and CPI are deprecated as primary levers because attention shifts away from cost. Budget management grows more important, since expensive traffic may deliver the highest relative ROAS yet be unaffordable for budget-constrained advertisers. The author likens this transition to the 2013–2016 rise of video advertising: the mechanics improve, but the process is different and demands a new approach from user acquisition teams.
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