Sizzle AI · B2C · AI learning app
Switch ads off and on to measure real sales lift; compare every attribution source
Real purchases usually about double what the ad platform reports
Workedanalytics-attribution
What they did
Compare in-app analytics and own database with platform-reported numbers. Run lift studies: switch ads off completely to see how much sales fall, then back on. Compare 1-day vs 7-day windows (at least 10% of purchases arrive later), SKAN vs platform-reported (another 10-20%), and App Store Connect analytics by source (another 10-20% spillover from people who saw an ad then searched the store). Use the gap to justify scaling ads that look marginal in-platform.
What happened
Real purchases are usually about 2x reported; the extra confidence lets him scale ads further.
- Stage
- growth
In their words
The Superwall Podcast · Yev Marusenko - How I Grow Viral Apps to 1M+ Downloads (just copy me)“and then I'm doing like different lift studies where I completely turn off ads to see how much sales go down, and then I turn them back on to see how much sales go up to get estimates of these lifts.”
“So, there's all of these different attribution sources that then give me more confidence on being able to scale ads because I know what's being reported in the actual ad.”
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