Playbook · Scale
Scale × Discover
Test messages at the points of uncertainty, add anxiety reducers, and claim a motivation the category doesn't deliver. Judge every channel on cost per activated user, not sign-ups.
- M3 Scale
- Can we scale acquisition, conversion and loops without leaking?
- Discover
- Why would the right people try it?
M3 × Discover
The playbook
Goal. Scale acquisition without leaking: every added channel brings people who activate and stay.
Moves. Message tests with proof placed exactly where visitors hesitate INF-T-SP-12 (Influence Ch.4, p.98); verifiable, relevant authority on the landing page INF-T-AU-01 (Influence Ch.6, p.166); anxiety reducers; identify and protect the deciding cue INF-T-FN-02 (Influence Ch.1, p.2); own a motivation the whole category lacks OCT-M08 (Actionable Gamification Ch.16, p.444).
How we'll know. Visit-to-activated (primary); trigger mix and cost per activated user (diagnostic); spike-cohort day-30 retention (guardrail). Tests here can usually run as standard A/B tests with counter-metrics.
Rule. If retention is healthy and acquisition collapses, Discover binds and more engagement mechanics won't help.
Lead with these moves
- TechniqueEvidence grade B. Moderate evidence: solid studies with some limits.
Proof at the moment of uncertainty
proof placed where people hesitate
Map where users are most unsure (the first visit, plan selection, payment, permission prompts, empty screens, new features) and put honest evidence right there: "Most teams of your size pick this plan", "7 in 10 new users begin with this template". Proof works best under uncertainty, so place it at the hesitation and use less in expert flows.
- TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.
Own a Core Drive the category lacks (OCT-M08)
differentiate on an absent motivation
List the drives every competitor already delivers, since they cannot set you apart, and build a strong version of one the category ignores. Chou's example: every navigation app offers getting there and not getting lost, and Waze added community among drivers.
Also in season
- Evidence grade B. Moderate evidence: solid studies with some limits.Proof from similar otherspeople like you
- Evidence grade C. Limited evidence: few or small studies.Find and back the deciding cuedeciding-cue audit
- Evidence grade C. Limited evidence: few or small studies.Lead with the core valuevalue-first message
- Evidence grade C. Limited evidence: few or small studies.Most relevant cue first for overloaded usersone clear cue under pressure
- Evidence grade B. Moderate evidence: solid studies with some limits.Verifiable, relevant credentialscheckable expertise that fits the claim
- Evidence grade B. Moderate evidence: solid studies with some limits.Conformity Anchors (GT#58)true peer benchmarks
- Evidence grade D. Practitioner framework or anecdote: plausible, untested.Turn paid and earned spikes into owned triggerscapture the attention you rented
- Evidence grade C. Limited evidence: few or small studies.Invites that carry value to the person invitedvalue-carrying invites
- Evidence grade B. Moderate evidence: solid studies with some limits.Value before the askgive first, then ask
- Evidence grade B. Moderate evidence: solid studies with some limits.Positive norms, never 'many people do the bad thing'positive peer-norm copy
Not now
- Scale paid acquisition while activation leaksFix the setup leak first: new paid users would hit the same broken first session.
- Cash bounty per inviteSmall cash rewards can backfire; make the reward more of the product.
- Lowball or drip pricingLate fees and lowballs convert now and come back as refunds and chargebacks.
How to measure it
Questions to answer first
- Where are visitors most unsure (pricing, sign-up, checkout), and what honest evidence do they see right there?
- Which single thing on your landing page drives most sign-ups, and how do you know?
- What do all your competitors already offer people emotionally, and what could you offer that none of them do?
- Does your copy lean on pleasure or pain, hope or fear, or acceptance or rejection? Does that fit this audience better than your three main competitors' copy?
- What worries stop visitors from trying (setup effort, cost, data, getting locked in), and what would remove each one?
- Does each type of visitor see proof from people like them (same role, size, use case)?
- What share of returning sessions do you pay for (retargeting ads, paid re-engagement)?
- Over the last two months, did new activated users fall well below their six-month average while retention held steady?
Limits
What we don’t claim
- Octalysis is a practitioner framework built from observing games, not a validated scientific model.Actionable Gamification Ch.15, pp.399-400
- Seasons are defaults for the cell. Evidence from your own product can move a technique in or out of season.
- A playbook names candidate moves; which one goes first depends on the binding constraint in your product.
Sources
Influence · Robert Cialdini
Ch.4, p.98 · Ch.4, p.107 · Ch.1, p.2 · Ch.6, p.166 · Ch.6, p.173
Actionable Gamification · Yu-kai Chou
Ch.16, p.444 · Ch.9, p.224
Source IDs: INF-T-SP-12INF-T-SP-17OCT-M08INF-T-FN-02INF-T-AU-01INF-T-AU-02GT#58F07
Book content is paraphrased, never quoted at length. Last verified October 24, 2026.
Your product
Find the stage your product is stuck in
A playbook shows what is usually right at this cell. Gamify It checks it against your own product and picks the one move that matters now. Connecting is free; a Pro subscription starts it.