Cal AI · B2C · AI calorie tracking app
Match download spikes to each creator post early on to learn what converts
Each early video showed as a spike (e.g. 100 to 200 downloads an hour)
Workedanalytics-attributioninfluencer
What they did
Very early after launch, when there is little background noise, watch downloads against each influencer video going live: Cal AI had zero downloads on days with no video, and later a baseline of ~100 downloads an hour that jumped to ~200 when a video posted. Note which creator types cause spikes, what their comment sections look like, and the content format, then generalize those patterns ('this type of content converts like this; this kind of comment section is a good sign') to judge videos later, once millions of old videos keep getting views and per-video attribution is impossible.
What happened
Early spikes could be tied to specific creators' videos; the patterns are used to extrapolate once data gets noisy
“very early on when you're like first launching the app, you want to see like what types of creators like cause a spike, and like what their comments sections look like, what the content format looks like so that you can kind of like normalize and like generalize”
“So it was like every influencer video that went live, we would see a spike.”
“we may have like a baseline of like 100 downloads an hour, and then when a video would go live, you'd see that spike to 200, and we'd know, "Oh, that correlates with, you know, Steve's video that just posted."”
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More from Cal AI
All 84 Cal AI tactics- Pay $350-450 for four posts plus view bonuses that stop at 1M viewsKeeps the upside of viral hits; founder gives no numbers
- Price a creator on the average of their 5 worst of 20 recent videosMost deal videos land nearer the mean, so the rest is profit
- Agree with a creator's view boast, then guarantee 700-800K views when they claim 1MGuaranteed a profitable CPM on every deal; creators couldn't back down
- Have 25 hired assistants each email 100 creators a day~220K creators contacted, 2-3K signed; roughly 1 signed per 1,000 emailed
- Pay creators $100-200 when a friend they refer signs a dealReally helped; got direct numbers and deals around talent agents
- Run a short ad with a one-line hook, the app in use, then the store linkAd has run about four months, which the host reads as a winner
More from this episode
- Cal AI: Ask creators to cross-post on both platforms as a casual, no-big-deal extraCreators accept most of the time; founder's claim, no numbers
- Cal AI: Pay creators a base rate plus view bonuses, capped at about 1M viewsViews past the cap come free; founder's reasoning, no numbers
- Cal AI: Measure revenue per 1,000 views and keep what you pay creators below it