Botsi + web2wave: AI pricing for your web2app funnel

A web2app funnel does something most apps never get to do. It asks. By the time a user reaches your paywall they have told you their goal, their experience level, how fast they want results and what they have already tried. That is a real profile, given willingly, one screen at a time. Then the funnel ends, the paywall loads, and unless you hand-built branching for it, every one of those people sees the same offer at the same price. Say it is $39.99 a year. The quiz asked a dozen questions and then ignored every answer at the exact moment the money was on the table.

That single price is wrong in two directions at once. One user arrived from cheap traffic, picked the least urgent goal and has never paid for an app like yours. For them $39.99 is enough friction to end the session, and you get nothing back from traffic you already paid for. Another told you they have a deadline in six weeks and has already tried two paid alternatives. They would have paid more without hesitating. You lose the first one and you discount the second for free.

A/B testing narrows this, it does not solve it. You split traffic, wait for significance, and the winner is whichever variant produced the best result on average. Average is the problem. The variant you kill is usually the right screen for some real slice of your users, and the one you keep is wrong for a different slice. You end up with a single compromise price, tested properly, that fits almost nobody exactly, while the profile your quiz just collected goes unused at the one screen where it is worth the most.

Botsi is an AI pricing model. It is not a funnel builder, not a paywall editor and not a payment processor. It is trained per app, on your own data, and it answers one question: given everything known about this person right now, which of your paywalls should they see. You build the paywalls in web2wave. Botsi picks between them, one user at a time, a moment before the page loads.

In practice you keep a small set of paywalls: a standard annual, a higher tier, a longer trial, a discounted entry point. Botsi chooses between them. Every price on the table is a price you wrote and approved, so there is no scenario where a user is shown something you did not intend. The model chooses inside your boundaries, never outside them.

The mechanics are deliberately boring. The quiz answers you already collect, plus geography, device and traffic source, reach Botsi as custom attributes. Just before the paywall step, Botsi returns the slug of a paywall you already built, and web2wave routes the user to that page and serves it as it always has. No new rendering layer, no flash of the wrong price, and no rules engine for you to maintain: there is no segment spreadsheet and no if-country-then-discount logic sitting in your head waiting to go stale.

Then it learns. Every trial, purchase, renewal and refund is confirmed back to Botsi by webhook, so the model updates on what people actually bought instead of on a test result somebody has to read and act on. Apps running Botsi with web2wave see LTV lifts of 20% and higher. Nothing upstream changes. The decision at the end does.

How Botsi gets paid matters here, because it changes what that number is worth to you. Botsi costs a fixed monthly amount, on public brackets that start at a $399 tier, and it comes with a Risk-Free Performance Guarantee. It is never a share of your revenue and it is never in your checkout. Payments keep running through your own payment account inside web2wave, and Botsi only learns that a purchase happened after the fact. Whatever the model adds stays with you.

Most apps give a pricing model very little to work with. Someone installs, and the model sees a country, a device, an install source and a timestamp. From that it has to infer what the person wants and what they will pay. It works, but it is inference on thin evidence. A web2app funnel is the exact opposite. The user answered a dozen questions before any price appeared, and they answered carefully, because those answers shaped the plan the funnel promised them.

Look at what a typical quiz has captured by the time the paywall loads. The goal the person chose. Their experience level. How urgent it is, sometimes down to a target date. What they tried before and what failed. Age band, region, language. Which ad brought them in. In pricing terms that is intent, urgency and price sensitivity, the three things every other app is guessing at.

That is why this pairing is stronger than the same model attached to a plain mobile app. Botsi is not reading a country code and hoping. The person who said they have failed at this twice and wants a result in thirty days is not the same buyer as someone poking around out of curiosity, and your funnel already knows the difference. It just was not using that at the paywall.

The practical version is simple. The better your quiz, the better your pricing gets. Every question you added to personalize the flow doubles as evidence for the decision at the end, so you are not collecting anything new and there is no minimum set to start with. Same questions, same screens, same drop-off curve. The funnel you already built is the input. The paywalls you already designed are the options.