Can Showing Fewer Ads in Your App Lead to More Money?
summary
Claim: showing fewer ads can increase total LTV even if revenue per ad rises. Uses Tenjin Data X folder and a data warehouse with impression‑level ingestion, plus Tableau and spreadsheets to run queries and plot a 3D LTV plot. Example: raising frequency toward 10 ads/user increases ad revenue per user by ~$0.02 but drops total LTV by ~$3. Analysis also surfaces per‑network bidding shifts, ECPM by country (US ~10x others, China high eCPM but low user base) and an ~80% match issue between impression sums and network hourly APIs.
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chapters (38)
- 0:00Introduction
- 0:39Agenda
- 1:20God of Wisdom
- 1:39Team
- 2:01Customers
- 2:19Customer Success
- 3:29Revenue Data
- 4:05User Level Data
- 4:36Multiple Impression Data
- 4:51The Truth
- 5:20Workshop Overview
- 5:42What Metrics Do You Track
- 5:54Retention
- 6:33Cohort
- 7:02Retention Rate
- 7:59Data Folder
- 8:43App Name
- 11:02Analysis
- 11:23Impressions
- 13:04Revenue by Country
- 16:24We dont charge
- 16:41CPM benchmark
- 17:03China vs USA
- 17:54Any Questions
- 18:10I like the exercise
- 18:23ECPM
- 19:04Level of Impressions
- 19:37Mediation
- 20:14Rewarding Ads
- 22:08Fidget Spinner Mindset
- 23:34Audience Experience
- 24:09Playable vs Pure Video
- 24:40Impression Level Data
- 25:26Hyper Cacher vs Casual
- 26:47Decay Curves
- 27:32Revenue Level Data
- 29:29Optimal Frequency
- 31:00Paying Attention
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