Otter Growth
    Advisory
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    Metrics Benchmark Comparison.

    A free comparison: paste your numbers, get back where you actually stand.

    No call attached. Results land by email. Run by Michael Berliner, who led product growth at MasterClass and built product-led growth at Calm.

    You send 8 to 10 of your own numbers. We place each one against the published benchmark for your profile and tell you where you stand, with the source and year on every row.

    The profile matters more than the vertical. A hard paywall converts roughly five times freemium at the median, so comparing a freemium app to a blended median produces a wrong answer, not a rough one. That is why the four selector questions below are required.

    One page. Cheapest way to find out whether your problem is top of funnel, monetization, or retention.

    What you get back

    • A standing summary: what your numbers say the problem actually is
    • A metric-by-metric table with the benchmark, percentile, standing, source, year, and caveat
    • Your two or three biggest gaps, each with a concrete next step
    • Honest flags where no published benchmark exists for a metric

    Expect results within a week.

    What it looks like

    SampleLumora· fictional sample, built to show the format

    Fictional sample company. Every figure below is invented to illustrate the format.

    Lumora's problem is at the top of the funnel, not in monetization or retention. Placed against its own profile columns, it is below benchmark on three of seven comparable metrics and at or above on the other four, including both renewal-retention metrics and trial-to-paid. The two real gaps are install-to-trial and D30 habit retention.

    Metric-by-metric (excerpt)
    MetricYour valueBenchmarkStanding
    Install-to-trial6.8%8.5% · p50below p50
    Trial-to-paid24%20.6% · avgabove
    Install-to-paid (D35)3.1%2.1% p50 · 4.5% p75above p50, below p75
    Annual plan 12-mo retention38%21.1% · avgabove
    Y1 revenue per payer$26$30.16 · avgbelow
    D30 retention4%7% (closest match)below

    The sample carries its own limits on the page: no public source reports LTV:CAC by vertical, so that row is compared to a general target rather than a peer number, and D30 retention is a closest-match read because the reference carries no journaling row. Both are flagged in the output rather than smoothed over.

    Request yours

    Everything below is what the audit actually needs to run. Nothing extra.

    Access model

    The biggest single swing. A gated free tier with an early paywall is still freemium.

    Is the AI the product?

    Not whether you use AI — nearly every app does now. We mean whether the AI is the thing being sold. AI-native apps start trials at about half the rate, so they get their own column, and an app with an AI feature in it does not belong there.

    Where do most of your subscribers convert?

    Pick the one that carries the revenue. iOS converts about 3x Google Play, and there is no blended benchmark to read, so “both” would just hide the gap. Being on both stores is the normal case and does not change the answer.

    Where does your paywall sit?

    Whether they hit it before they have used the product, or after. Inside onboarding and at the very end of onboarding are the same answer. Free-tier versus paid-up-front is the access-model question above, not this one.

    Do you offer a free trial?

    A paywall at onboarding converts about 1.6x better with a trial than without, so this picks a different column. Answer for the paywall above.

    Add screenshots or files (optional)Optional. A screenshot or export of your dashboard, if that's easier than typing the numbers out. We read the values off it; we don't go looking for anything else.

    We only use your email to send your results and to ask a follow-up question if the audit needs one. No list, no sharing. Anything you upload is stored privately, used for your audit, and deleted on a schedule.

    Otter Growth AdvisoryProduct growth for consumer apps and products