One focused growth decision

Find the next growth loop your team can test this month.

Bring the user activity, feedback, or activation data you already have. Leave with a mapped trigger, value exchange, share moment, friction, metric, and one experiment to run first.

Growth Loop Audit

A loop map and first-test specification in 30–45 minutes.

Work through a clear sequence: diagnose your current signals, map the loop, then define the single experiment your team can evaluate against a defined metric.

One-time audit

$149

One focused decision for your next growth experiment.

No subscription. Start immediately after secure hosted checkout.

Start your audit — $149

Secure hosted checkout · $149 one-time · No subscription · Return to the audit immediately after payment

After payment: open the guided worksheet, complete the diagnostic, map the loop, and define the first test.

What you finish with

  • A diagnosis of the signal worth building around—not a generic growth score.
  • A completed loop map: trigger → value exchange → share moment → repeat.
  • One test brief: what to change, what friction it removes, and what metric answers whether it worked.

Is this for us?

  • You have a product, some user activity or feedback, and a team able to test one change.
  • You want to connect product value, sharing, and acquisition with the signals you have.
  • You need one concrete next test—not a broad strategy deck.

Not this

A done-for-you growth program, a strategy deck, or a promise of a specific result.

Common questions

Know the format before you start.

Do I need a mature referral program?

No. The audit identifies the growth motion you have now and the loop worth testing next.

Is this done for me?

No. It is a guided self-serve audit for making one focused decision with your own product context.

What happens after checkout?

You return to ViralLoop, open the worksheet, and work through the diagnostic, loop map, and first-test specification.

You need real product context—activation data, feedback, acquisition patterns, or observed sharing behavior—not perfect analytics.

Inspect the sample output