Consumption-Based Pricing
Analyze usage patterns to identify the optimal value metric, ship metered billing via Stripe, auto-upgrade accounts at plan limits, and run an autonomous optimization loop that finds the pricing local maximum.
npx gtm-skills add product/upsell/usage-based-pricingOutcome
Identified value metric with >=2x retention correlation between high and low usage bands
Leading Indicators
- Value metric correlation to retention
- Usage distribution percentiles
- Churn rate by usage band
Instructions
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Run posthog-gtm-events drill to instrument all candidate value metrics (API calls, seats, storage, messages).
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Run usage-pricing-model-analysis drill: identify value metric with strongest retention correlation, map usage distribution (P25/P50/P80/P95), analyze churn by usage band, model 3 pricing scenarios (per-unit, tiered, hybrid).
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Validate willingness-to-pay signals in PostHog: pricing page visits by active customers, users hitting limits without upgrading, trial drop-off at payment step.
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Produce pricing analysis report with recommended value metric, model, tier boundaries, and revenue/churn projections.
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Human review: approve recommended pricing model to proceed to Baseline.
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Evaluate: value metric shows >=2x retention in high-usage vs. low-usage bands. If PASS proceed to Baseline; if FAIL re-instrument and re-run.
Recommendations
Time
5 hours over 1 week
Play-specific cost
Free