A new price
Work out which customers and plans it should apply to, what happens to existing subscribers, and what would make you keep or reverse it.
Subscription Pricing Sprint
You’re changing a price, adding a paid tier, or deciding what to test before spending more on acquisition. I’ll work through that decision with you: what to change, what the numbers support, and how to check whether it works.
Work out which customers and plans it should apply to, what happens to existing subscribers, and what would make you keep or reverse it.
Decide what belongs in Free, what earns an upgrade, and whether the price covers how people use the feature.
Choose a specific change, write the variant, and define the result that would justify shipping it.
We choose one question before the project starts.
A short decision note with the evidence, alternatives and trade-offs. It will say what I would do next and what could change that recommendation.
Your current approach and two alternatives, with the relevant revenue, refunds, fees and usage costs. Assumptions stay visible so you can replace them with better data.
The hypothesis, proposed offer or paywall copy, audience, success metric, guardrails and data requirements. We finish with a 45-minute walkthrough and one round of revisions.
The work behind this
At DOWN, I owned 53 A/B tests across monetization, onboarding and product quality; 43% produced a winning result. My pricing, paywall and offer experiments contributed to roughly 40% Android revenue growth.
One pricing project took several iterations. An aggressive increase lost revenue; a configuration bug invalidated another run. The later test supported a decision about a complete price package for one segment. The case shows the result and what remained unresolved.
Read the DOWN pricing caseThose results belong to that product. For yours, we start with the decision and evidence in front of us.
Agree on one question, the available information and deliverables. Before payment, we establish who owns the decision and who can implement the next step. If the fit is weak, I’ll say so before you pay.
Review the current offer, relevant customer and payment data, and four to six alternatives your customers can buy.
Compare the options, check the economics and write the recommendation and test.
Walk through the result together and hand over the editable files. One round of revisions is included.
You work directly with me. I use AI tools to help with research and analysis; I check the work and remain responsible for the recommendation. We agree on how your data can be used before you share it.
The fixed fee is $1,250 USD, split into $625 to start and $625 on delivery. The five-day schedule begins once we have the agreed inputs.
The project covers one existing product, one primary market and one commercial decision. Production changes, a full tracking rebuild and running the experiment are scoped separately. Five days is the delivery period for the recommendation and test plan; an experiment may need longer to produce a reliable answer.
Your current prices and offers, the decision you’re considering, and the data that bears on it. That might include signups, trials, purchases, renewals, refunds or feature costs. Aggregated exports are usually enough to begin. I don’t need personal customer messages or payment credentials.
We can compare options and design the next useful check. I’ll make the uncertainty explicit. A small sample cannot establish the best price or prove a conversion lift.
Yes, when the question can be answered using payments, plan choices, costs and feedback you already collect. We’ll agree on that approach before starting.
I’ll prepare the proposed offer, copy and measurement requirements. Your team handles the production change unless we agree on a separate implementation scope.
No. I can commit to the agreed work, a clear recommendation and a testable next step. Revenue depends on the product, audience, execution and the result of the experiment.
The contribution an add-on must replace before it creates growth, shown with one worked example.
Read articleA short test can prove upfront cash. The retention break-even shows what it cannot prove yet.
Read articleProduct link, the question, and any deadline. A few sentences are enough. I’ll reply within two business days with a view on fit and the information we’d need.