Fix conversion leaks

TAMsense helps SaaS companies turn more users into paying customers by generating specific product recommendations based on the analysis of user behavior across the entire product

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Early impact

  • 20% more orders per user 
  • Application drop-off reduced from 40% to 5%
  • 37% lower sign-up abandonment
     
From one pilot after implementing TAMsense recommendations

"We reduced sign-up abandonment by 37% by adding just one feature to the login page, and increased orders per user by 20% just by doing what TAMsense says. Wow!"

Alex Agato, Founder & CEO of Zaboosty

Analytics tools miss the why

The numbers are there, but the answer still isn’t. Quantitative data shows where people drop off, but the real reason usually lies deeper in the experience.

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    Metrics don't show reasons
    Analytics tools tell you where users leave, but you have to guess why they abandoned the flow.
  • Ui&ux ready
    Session replays are hard to scale
    Watching individual recordings provides context, but it's impossible to synthesize hundreds of hours into actionable insights.
  • 100% no code
    The actions are still unclear
    Without clear qualitative evidence at scale, teams debate priorities based on opinions rather than user reality.

TAMsense is an AI product decision system

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    Get qualitative evidence at scale

    TAMsense collects session replays, journey context, and user behavior patterns, then explains them in plain English.

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    Chat with your product

    Ask questions, explore friction points, and discuss recommendations directly in the context of your product data.

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    Get ready-to-go decisions

    TAMsense understands the user’s real problem behind their actions, spots friction across the journey, and suggests specific solutions you can act on.

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How it works

From Strategy to Decisions

  • 1

    Align on your positioning

    First, our co-pilot aligns with you on your product positioning and helps you create clear artifacts for:

    • Market segmentation
    • Ideal Customer Profile
    • Value Proposition

    These artifacts are tailored to your product and become the foundation for all future decisions. You can also update them as your product evolves.

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  • 2

    Analyze behavior

    Set up data collection by adding our agent to your frontend. It’s simple and takes just a couple of minutes.

    Then our engine analyzes session data, clicks, and user paths to identify where customers struggle or fail to reach value.

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  • 3

    Get ready-to-go decisions

    Get specific, prioritized recommendations on what to do next to fix conversion leaks and guide users to value.

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Focused on the main conversion problems

Value comes too late

Trial-to-paid moves when three things work together: the product feels clear, the message makes sense, and users reach value before their patience runs out.

The promise breaks in product

Users arrive with a picture in their head: a promise, a hope, a reason to care. Then they open the product, and somewhere along the journey that picture starts to wobble.

Context behind every recommendation

TAMsense reads behavior in the context of your positioning, value promise, and your users’ expected outcomes.

That gives you recommendations with strategy behind them, instead of generic AI advice floating in the void.

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Grow Paid. Cut Churn.

Let more users reach value, give teams a clearer path forward, and turn product friction into conversion lift

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