Growth Hacking Strategy for Mobile App in Traction Phase

Create a comprehensive growth hacking strategy for:

App: [APP NAME]
Category: [EX: fintech, health, education, marketplace, social]
Stage: [LAUNCH / TRACTION / GROWTH]
Registered users: [NUMBER]
MAU (monthly active users): [NUMBER]
Retention D1/D7/D30: [X%]/[Y%]/[Z%]
Current NPS: [NUMBER] (or "not measured")
Primary acquisition channel today: [CHANNEL]
Current CAC: R$ [VALUE] (or "not calculated")
Available budget (3 months): R$ [VALUE]
Platforms: [iOS / ANDROID / BOTH]

## INITIAL DIAGNOSIS

**1) Current AARRR Funnel Analysis:**

| Stage | Current Metric | Industry Benchmark | Gap |
|-------|---------------|-------------------|-----|
| Acquisition | Downloads/month | ... | ... |
| Activation | % completing onboarding | ... | ... |
| Retention | D30 retention | ... | ... |
| Referral | Viral coefficient (K) | ... | ... |
| Revenue | ARPU / paid conversion | ... | ... |

**2) North Star Metric:** Which metric best represents value delivered to users?
(Example: for fintech = money saved; for fitness = completed workout streaks)

## FUNNEL-STAGE STRATEGY

### A) ACQUISITION — Grow users with minimum CAC

**Viral channels (CAC ≈ R$ 0):**
- Referral program: mechanics, dual incentive, gamification
  - "Invite 3 friends and get [BENEFIT]" — complete flow design
  - K-factor target: >0.5 (each user brings 0.5 new users)
- PR and earned media: story angle for [INDUSTRY] journalists
- App Store Optimization (ASO): keywords, screenshots, icon A/B testing
- Organic content: formats that work for [APP CATEGORY] in Brazil
- Community partnerships: WhatsApp groups, Reddit, Discord

**Paid channels (with available budget):**
- Meta Ads: best audiences, converting creatives for [APP TYPE]
- Google UAC: configuration and bid strategy
- TikTok Ads: if audience is under 35
- Budget allocation across channels with expected ROI

### B) ACTIVATION — Get users to the "aha moment" quickly

**Aha moment mapping:**
- Which action, when performed, predicts users will be active on D30?
  Example: users who connect their bank account on D1 have 3x higher retention
- How to remove all obstacles before reaching that moment?

**Onboarding optimization:**
- Reduce signup steps to minimum viable
- Progressive disclosure: ask for data when needed
- Contextual in-app messages in first 24 hours
- D0, D1, D3 push notification sequence (complete scripts)
- Personalization: app should feel made for ME from D1
- Onboarding A/B tests to run (prioritized hypothesis list)

### C) RETENTION — Build habit and reduce churn

**Behavioral segmentation:**
- Promising users (active, engaged): how to deepen the habit?
- At-risk users (7 days without opening): early reactivation campaign
- Churned (30+ days inactive): winback campaign

**Engagement loops:**
- Daily habit loop: trigger → action → reward (complete design)
- Gamification: points, badges, streaks, leaderboards
- Personalized notifications: optimal time by segment, effective copy
- Social feature: how to add social element without becoming a social network?

**Retention content:**
- Lifecycle emails (30-day post-signup sequence)
- Push notification strategy: types, frequency, timing, copy
- Behavior-based in-app notifications

### D) REFERRAL — Organic virality

**Referral program:**
- Mechanics: unique code, shareable link, or QR code?
- Referrer incentive: [DEFINE]
- Referred user incentive: [DEFINE]
- Sharing channels: WhatsApp is primary in Brazil — optimize for it
- Reduce friction: 1-click sharing
- Referral gamification: leaderboard, missions

**Viral content:**
- User Generated Content (UGC): how to encourage users to create content?
- Shareable achievements: screenshots, result cards, milestones
- "Powered by [APP]" on outputs users share externally

### E) REVENUE — Convert freemium to paid

- Paywall optimization: where is the paywall in the flow?
- Features to lock: what stays free vs. paid?
- Trial strategy: 7 days, 14 days, or action-based?
- Pricing page: anchoring tests, annual vs. monthly plans
- Upsell triggers: when and how to offer upgrade (in-context, not interruptive)

## GROWTH EXPERIMENTS (next 4 weeks)

Prioritized list of 10 experiments, each with:
- Hypothesis: "We believe [ACTION] will [RESULT] because [REASON]"
- Success metric
- Test duration
- Implementation effort (S/M/L)
- Impact potential (S/M/L)
- Owner

## 90-DAY ROADMAP

| Week | Focus | KPI Target |
|------|-------|------------|
| 1-2 | Baseline and tracking setup | ... |
| 3-4 | Onboarding optimization | D7 +30% |
| 5-8 | Referral program launch | K>0.3 |
| 9-12 | Retention campaigns and paywall | D30 +40% |

Format: complete strategy with prioritized experiments, notification scripts, and 90-day roadmap.