Target CPE campaigns help advertisers scale toward meaningful in-app actions like purchases by leveraging machine learning to automate bidding.
After launch, early performance fluctuates during the learning phase, but healthy campaigns show stable costs and gradual install growth.
Success depends on a solid data foundation: sharing full-channel data (installs, revenue, payment rates from all networks) and user event data (a broader range of in-app events) enables the algorithm to learn faster and improve targeting.
Choosing between D0 and D7 Target CPE depends on the product's payback period and paying device ratio—D0 suits quick conversions, while D7 works for longer cycles.
For multi-region scale, advertisers should consolidate eligible countries into one campaign and assign consistent CPE prices to pool data and enhance learning efficiency.
Technical tips include ensuring IAP revenue accounts for over 70% of total revenue and having sufficient paying device volume.
Overall, Target CPE aims to acquire high-value users efficiently.
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