Operations Guide
AI Growth Experiment CAC and Payback Governance Scorecard
Experiment velocity alone does not guarantee monetization quality. This scorecard links lane execution to CAC/payback thresholds and checkpoint-based decisions.
Implementation Steps
- Set current and target blended CAC and payback-month thresholds before selecting active lanes.
- Map each lane to expected incremental MRR run-rate and guardrail impact confidence.
- Run Week 1 to Week 12 scorecard checkpoints with stop/continue/scale decisions.
- Escalate any checkpoint that misses CAC, payback, or win-rate targets within one review cycle.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion