Pricing experiment analytics

Pricing tests need causal discipline because short-term conversion, long-term retention, and customer trust can move in opposite directions.

Primary outcomes

Measure net revenue per visitor, paid conversion, expansion, and refund-adjusted value by segment.

Track churn, support contacts, downgrade behavior, sales-cycle delay, and high-value customer loss.

Separate elasticity from packaging confusion, discount timing, and traffic mix shifts.

Do not mix price treatment with feature access changes unless the test is designed for both.
Predefine enterprise, self-serve, and trial user handling.
Monitor post-test retention before declaring the pricing change durable.