Measuring the Efficiency of Paid Customer Acquisition Campaigns
summary
Argues that owning raw ad and conversion data is essential and that switching reports to show conversions by click time vs conversion time changes optimization decisions; gives a concrete magic-number ratio ~1 to guide spend (invest 100K, expect ~100K annual recurring from new customers; 0.5 = survival, 1.5 = underspending) and reports a doubling-of-budget that produced results in three months. Builds AI insight agents (one senior engineer full time for ~a year, plus external vendors), struggles with vendor WhatsApp integrations, and collects qual feedback via trial form “how did you learn about R track.”
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chapters (10)
- 0:00Campaign optimization basics
- 1:42Owning campaign data
- 5:15True campaign costs
- 9:12Media buying ratios
- 12:41Attribution black box
- 18:54AI for campaign insights
- 26:27Training AI agents
- 34:41Attribution with own data
- 40:18Multi-channel attribution
- 42:03Q&A
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