Ranking our 5 Biggest Pain Points in UA & how we Overcame Them (With use Cases!)
summary
Company spent $29M UA last year and builds an internal dashboard in three months (React) that pulls network and MMP data hourly to manage 10,000+ campaign combinations, lets managers change bids/status/budgets in one click, and shows estimated LTV/ARPU in real time via BigQuery and Looker. An algobit produces per-manager algobit bit files to auto-deploy thousands of subsource bids, Slack alerts report hourly profit and creative drops, and revenue calculations strip store cut plus country taxes for true net ROI.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:09About boombit
- 3:15Campaign combinations pain
- 6:48iOS tracking after ATT
- 9:55Sub-source bidding complexity
- 13:48ARPU and LTV accuracy
- 17:42Missed opportunities & alerting
- 19:49Q&A
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