Six ways we find the price you're leaving on the table.
Every engagement is a portfolio of experiments, ranked by expected dollar impact against statistical feasibility. We run the ones that pay.
Price-point A/B testing
Live, statistically rigorous experiments on the price itself — run safely with geo splits and new-cohort rollouts so an existing customer never sees two prices. Revenue-per-visitor is the metric, pre-registered stats keep us honest.
Packaging & tier design
What goes in which plan is often worth more than the price itself. We test plan composition, decoy tiers, annual/monthly spreads, and seat-based vs. usage-based migration paths.
Willingness-to-pay research
When traffic can't support live tests, we measure WTP directly: conjoint analysis, Van Westendorp price-sensitivity meter, and Gabor-Granger. A rigorous read without burning live revenue.
Dynamic & demand-based pricing
Algorithmic pricing that responds to inventory, seasonality, and demand — deployed only in verticals where customers already expect it (travel, events, perishable and constrained inventory).
Segment & geographic pricing
One global price leaves money in every market. We map what each segment and region will actually pay and build compliant, defensible price fences around them.
Discount & promotion architecture
Most discounting trains customers to wait for the next sale. We test discount depth, frequency, and fences so promotions lift profit instead of eroding it.
Not sure which applies to you?
That's the first 30 minutes of a discovery call.
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