Trial-to-Paid

    50-80% of your trial users never activate. They never see what your product actually does.

    They signed up. They poked around. They left. Not because your product doesn't work, but because nobody showed them the moment it clicks.

    Trial cohort · Week 14
    247 trials · Apr 7 – Apr 13
    Activation
    27%87%
    68 of 247 activated214 of 247 activated
    Trial → paid
    5%38%
    12 of 247 paid94 of 247 paid
    Time to first value
    8d 14h4m 12s
    median this weekmedian this week
    Daily breakdown · last 7 daysbaselineon Hyper
    MON101033
    TUE111137
    WED121239
    THU121238
    FRI111134
    SAT6618
    SUN5516

    The Problem

    The aha moment exists. Your trial users just never get there.

    Most SaaS products lose 50 to 80% of trial users before they reach that moment. Not because the product is bad. Because the path from signup to aha has too many unguided steps. The user creates an account, lands on an empty dashboard, clicks around, doesn't understand what to do first, and closes the tab. Trial over.

    Hyper is an AI onboarding agent for SaaS that does 1-on-1 screen-sharing calls with users, seeing their screen, controlling their browser, and guiding them via real-time voice. It walks trial users directly to the aha moment. Not with a tooltip pointing at a button. With a live session where the AI opens the right page, fills in the first step, and shows the user exactly what the product does for them.

    The gap between signup and the aha moment is a solvable problem. The solution is showing, not telling.

    Old way

    Trial user signs up. Welcome email with five links. Product tour with four tooltips. Onboarding checklist with six items.

    They complete two checklist items. Never finish the core workflow. Day 3: same dashboard, close the tab. Day 7: "you have 7 days left" email. Unopened. Day 14: gone.

    200 trial signups last month. 35 converted. You know 100+ of those lost users would have converted if someone had just shown them.

    Hyper way

    Same trial user. Same signup. They click "Get started" and connect with Hyper.

    The AI controls their browser. Creates their first project. Fills in the fields. Connects an integration. Runs the workflow. The user watches their own screen produce the result they signed up for.

    Four minutes. The aha moment hits. Not because the user read about it. Because they experienced it. On their own account. With their own data. They enter their card on day 2 instead of day 13.

    How It Works

    Walking trial users to the moment they can't imagine canceling.

    Hyper gets every trial user to that moment. Not describing it. Doing it on their screen.

    The session looks like this:

    A trial user clicks "Get help." Hyper connects via voice. "Let me walk you through your first [workflow]. I'll control your screen."

    The AI navigates to the starting point. Clicks the right buttons. Fills in the right fields. Explains what's happening and why as it goes. The user watches their own product do the thing they signed up for.

    If the user interrupts ("What does this setting do?"), the screen pauses. Hyper answers. Resumes.

    The session ends when the workflow is complete. Real result. Their data, their configuration. Everything after that is retention, not conversion.

    Results

    Every trial user who activates is a trial user who pays.

    Hyper deploys as a split test. Some trial users get AI-guided onboarding. Some get your existing stack (docs, tours, emails). You measure activation rates and trial-to-paid conversion side by side. The data shows you exactly how many trial users you were losing to the gap between signup and aha, and how many Hyper recovered.

    The users Hyper recovers aren't marginal. They're users who had enough interest to sign up, enough motivation to try, and just needed someone to show them the next step. Those are your highest-value potential customers. They were leaving because of a solvable onboarding problem, not a product problem.

    FAQ

    Frequently asked questions

    What teams ask before rolling out Hyper.