TAMsense helps SaaS products turn more users into paying customers by generating specific development recommendations based on the analysis of every user action across the entire user base.
So acquisition budget doesn’t go to waste
Early impact
+20% orders per user
40% to 5% application drop-off
-37% sign-up abandonment
"We reduced sign-up abandonment by 37% by adding just one feature to the login page, and increased orders per user by 20% just doing what TAMsense says. Wow!."
The numbers are there, the decision still isn't.
Quantitative data shows where people drop, but the real reason usually lives deeper in the experience.
Session replays, journey context, user behavior patterns are collected and explained in plain English.
Ask questions, explore friction points, discuss recommendations directly with your product data context.
Prioritized product changes tied directly to conversion impact, ready for your sprint planning.
TAMsense starts with positioning and the value you promise. Then it collects qualitative data evidence at scale and turns user behavior into clear product decisions your team can act on.
Aligns and upscales the product's positioning: ICP and Value Proposition. It's now tailored for you and becomes the basement for all decisions
Our engine reads session data, clicks, and paths to identify where friction breaks the promise.
Get clear, prioritized product changes needed to fix the leaks and guide users to value.
TAMsense reads behavior in context of your positioning, value promise, and user's expected outcome.
That gives you recommendations with strategy behind them, instead of generic AI advice floating in the void.
The form has been successfully submitted.
