Pricing experiments
We help run pricing experiments for subscriptions: testing hypotheses about price and packaging on data (A/B and other approaches), to find better pricing deliberately rather than by guess. Honestly upfront: a reliable result needs sufficient volume (low traffic/subscriptions = no statistical significance, random conclusions); price is a sensitive and risky variable (a mistake hits revenue and trust); results are estimates with a margin of error, not exact truth; experiments must be ethical (no discriminatory 'surprise prices'); and it is not a revenue-growth guarantee. We run honest correct experiments, not number-fitting.
Pricing experiments — overview
Pricing experiments are testing hypotheses about price, plans and packaging on real data: A/B tests of prices on new users, plan-structure tests, elasticity estimation, value-perception checks. The goal is to make pricing decisions deliberately, on data, not on intuition. Honestly about volume and significance, this is key: for a reliable result, sufficient traffic and conversions are needed. On a small flow the difference between variants drowns in randomness — you get a 'result' that is actually noise and make a wrong decision. For many small subscription products a full price A/B is statistically impossible, and it is more honest to use other methods (interviews, qualitative assessment, careful changes with observation). We will honestly assess whether you have enough volume rather than run a test for the sake of it. Honestly about risk and price sensitivity: price is the most sensitive variable. A failed pricing experiment can push customers away, hit revenue and trust (especially if different people see different prices and find out). Experiments must be run carefully, focused on new users and without harming existing ones. Honestly about ethics: pricing must be honest — no discriminatory or misleading 'surprise prices', covert increases, different prices 'by surveillance'. We design ethical experiments. Honestly about 'estimates, not truth': a test result is an estimate with a confidence interval, not an exact 'this price is better by X%'. It holds for the test conditions and may not reproduce. Decisions are made with the margin of error in mind. Honestly about the effect: it helps find better pricing deliberately and reduce the risk of pricing decisions, but it is not a revenue-growth guarantee. Honestly about access: sufficient flow, billing (1028), analytics (1030) are needed. An important boundary: this is pricing experiments (methodology); plan structure — 1032; usage/hybrid — 1033/1034; analytics — 1030. Picture this: instead of 'changed the price by guess and hope' — deliberate hypothesis testing on data, honest about significance and risk. The base price starts from 50,000 ₽ (depends on volume and complexity).
Problems we solve
- Price is changed by guess, by intuition, without testing.
- Unclear how price affects conversion and churn.
- Tests on a small flow give random, unreliable conclusions.
- Past price changes hit revenue/trust.
What's included in the Pricing experiments service
- Designing correct pricing experiments (A/B and alternatives)
- An honest assessment of sufficient volume (statistical significance)
- A focus on new users (without harming existing ones)
- Ethics (no discriminatory/surprise prices)
- Honest boundaries (volume needed; price is risky; results are estimates; no revenue guarantee)
- A link with billing (1028), analytics (1030), plans (1032)
- Interpretation accounting for the margin of error
- Handover and review with you
What you get
- Deliberate data-driven pricing decisions, not by guess
- Reduced risk of price changes
- Correct experiments (significance, ethics)
- Honest boundaries (volume needed; estimates not truth; no revenue guarantee)
How the work goes: steps
- We assess volume and the applicability of A/B (or alternatives)
- We design a correct ethical experiment on new users
- We interpret with the margin of error, honestly set boundaries with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Can price be A/B tested on any product?
Not on any, honestly: a reliable A/B needs sufficient traffic and conversions. On a small flow the difference drowns in randomness — you get a 'result' that is actually noise and make a wrong decision. For small subscription products a full price A/B is often statistically impossible, and it is more honest to use other methods (interviews, careful changes with observation). We will honestly assess your volume rather than run a test for the sake of it.
Will a pricing experiment accurately show the best price?
Not accurately, honestly: a test result is an estimate with a margin of error (confidence interval), not an exact 'this price is better by X%'. It holds for the test conditions and may not reproduce in others. Plus price is a sensitive variable, and the effect depends on many factors. We make decisions with the margin of error and risk in mind rather than pass a test result off as absolute truth about the 'right price'.
Are price experiments safe for the business?
With caution — yes, but the risk is real, honestly: price is the most sensitive variable. A failed experiment can push customers away and hit revenue and trust, especially if different people see different prices and find out. So we test carefully, mostly on new users, without harming existing ones and without discriminatory 'surprise prices'. Ethics and care are mandatory here.
About the provider
The «Pricing experiments» service is provided by PDV Expert — a team specialising in «Customer retention». We work under contract and deliver a written report with recommendations.