The lowest price wins on conversion and loses on profit. CustomFit tests price points, discount depths, and bundles on live traffic — then crowns the winner on revenue and margin per visitor, with a margin floor that never lets a "win" cost you money. AI models price elasticity so you optimize for profit, not just clicks.
Test a ladder of price points to map demand and find where revenue per visitor actually peaks — it's rarely the lowest one.
Set a minimum margin and CustomFit refuses to crown a high-converting discount that quietly eats your profit.
Every shopper pays exactly the price they saw — reconciled at checkout. No bait-and-switch, ever.
Drop the price and conversion jumps — so a conversion-only test will always pick the lowest number and shrink your margin. CustomFit scores every variant on revenue and margin per visitor, surfacing the price that maximizes what you actually keep.
Price perception is built from more than the digits. Experiment with discount depth, bundle math, free-shipping thresholds, subscribe-and-save framing, and charm pricing — and see which combination moves profit, not just clicks.
We'd been discounting out of habit. The test showed our hero SKU actually made more profit $1 higher — we'd been leaving money on the table for a year.
Price tests are powerful and risky. These guardrails are on by default so an experiment never quietly costs you money or trust.
Refuses to crown a high-converting discount that drops below the profit you set.
Every shopper pays exactly the price they saw — reconciled at checkout, always.
Tracks repeat-buyer behavior so you don’t train your base to wait for a coupon.
Price A/B testing shows different price points, discount depths, or bundle structures to randomized visitor cohorts and crowns the winner on revenue and margin per visitor — not just conversion. Because the lowest price always converts best, optimizing for profit (with a margin floor) is what protects your bottom line.
The most profitable price is rarely the lowest — testing reveals where revenue peaks.
Guardrails refuse a high-converting discount that erodes profit.
Charged-equals-shown reconciliation means no bait-and-switch, ever.
Optimize for profit, not vanity conversion.
Test discount depth and bundles scientifically.
Stop discounting on habit — price on evidence.
Price A/B testing shows different price points, discount depths, or bundle structures to randomized visitor cohorts and crowns the winner on revenue and margin per visitor — not just conversion. Because the lowest price almost always converts best, optimizing for profit with a margin floor is what protects your bottom line.
CustomFit maps demand across a ladder of price points to find where revenue actually peaks — rarely the cheapest option. Every shopper is charged exactly the price they were shown, reconciled at checkout, so there’s never a bait-and-switch.
Beyond the sticker price, you can test discount depth, free-shipping thresholds, subscribe-and-save framing, bundle math, and charm pricing — and run those tests per segment, since willingness to pay differs by geo, device, and new-vs-returning.
Yes, when done correctly. CustomFit tests displayed price and offer framing across randomized cohorts and reconciles the charged price at checkout, so every shopper pays exactly what they were shown.
Profit. A lower price almost always converts better, so CustomFit reports revenue and margin per visitor and lets you set a margin floor as a guardrail.
Yes. Willingness to pay differs by geo, device, source, and new-vs-returning, so you can run price tests per segment and roll out the winning price only where it lifts profit.
Because price effects are large, most reach confidence in 7–10 days at typical D2C traffic. The live significance readout tells you exactly when to call it.
No. Marketers build experiments and personalized experiences in a no-code visual editor; developers can use the API and SDKs when they want deeper control.
Run your first profit-optimized price test this week — free to start.