tomevault-io Growth & Product-Led Growth
In PLG, the product is your best salesperson. This skill helps you design growth into your product — with concrete tactics and prompts you can hand to Claude Code.
Core Principles
- Growth is a system, not a hack. Build loops, not one-time campaigns.
- Activation is the most important metric. A user who never experiences value is already lost.
- Virality is engineered, not accidental. Design sharing into the product.
- Retention is the foundation. Growing on top of a leaky bucket is a losing game.
- For a solo founder: pick ONE growth lever, make it work, then add the next.
The PLG Funnel
Acquisition → Activation → Retention → Revenue → Referral
The most common mistake: Founders focus on Acquisition first. Focus on Activation and Retention first — there's no point driving signups into a leaky bucket.
Activation (Start Here)
Define Your Aha Moment
The specific action where users first experience core value:
| Product Type | Example Aha Moment |
|---|---|
| Project management | Created first project + added a task |
| Email tool | Sent first campaign |
| Analytics | Saw first dashboard with real data |
| Design tool | Exported first design |
| Scheduling | Booked first meeting through the tool |
Your aha moment: [Action that makes users say "I get it, this is useful"]
Drive Users to Aha Fast
Every screen between signup and the aha moment is a drop-off risk.
Tell AI:
Design the onboarding flow to get users to [your aha moment] in under 3 minutes:
1. After signup, skip the "check your email" screen — go directly to the product
2. Show a setup wizard (3-5 steps max) that collects only what's needed to deliver value
3. Pre-populate with sample data or templates so the product looks useful immediately
4. Add a progress checklist: "Complete your setup: ☑ Create [X] ☐ [Next step] ☐ [Final step]"
5. Show an empty state with a clear CTA on every empty page ("Create your first [X]")
Activation Emails
Pair your in-product onboarding with a 5-email welcome sequence that nudges unactivated users. See the email skill for the full welcome sequence template with ready-to-paste copy for each email.
Acquisition Strategies
Pick ONE that matches your product. Don't spread across all of them.
| Strategy | Best For | Effort | Time to Results |
|---|---|---|---|
| Free tool / calculator | Products that solve measurable problems | Medium | 1-3 months |
| Template gallery | Products with customizable outputs | Medium | 2-4 months |
| Content-as-product | Products in information-heavy spaces | High | 3-6 months |
| Community-driven | Products with passionate niche users | High | 3-6 months |
| Integrations | Products that connect to other tools | Medium | 1-2 months per integration |
| Freemium | Products where free use drives word-of-mouth | Low | Immediate (but slow growth) |
Tell AI:
Build a [free tool / template gallery / calculator] that:
- Solves a specific problem our ICP has (related to our product)
- Requires no signup to use
- Shows a teaser of our full product's value
- Includes a CTA: "Want more? [Product name] does this automatically."
- Is SEO-optimized so it attracts organic traffic
Viral Loop Design
A viral loop has 4 parts: User gets value → Has reason to share → New user sees value → Converts → Loop repeats.
Viral Mechanics for SaaS
| Mechanic | How It Works | Example |
|---|---|---|
| Collaboration invites | Product requires multiple users | "Invite your team to edit this" |
| Shared outputs | User creates something shareable | Reports, links, dashboards with "Made with [Product]" |
| Referral rewards | Incentivized invitations | "Give $20, get $20" |
| Public pages | User content is SEO-indexable | Public profiles, portfolios, pages |
| Embeds | Widget on user's site links back | Badges, chat widgets, forms |
Tell AI:
Add a sharing/invite mechanic to our product:
- After a user completes [key action], prompt: "Share this with your team" or "Invite a collaborator"
- Make shared links show a preview of the output (not just a signup page)
- Add "Made with [Product]" branding on shared/public outputs with a link to our homepage
- Track invite sends, invite accepts, and invite-to-signup conversion
Retention Mechanics
Build Habit Loops
| Component | What It Is | Example |
|---|---|---|
| Trigger | What brings them back | Email digest, notification, calendar event |
| Action | What they do in the product | Check dashboard, respond to comment, update status |
| Reward | Value they get | New insight, progress indicator, completed task |
| Investment | What makes leaving harder | More data, more connections, more history |
Tell AI:
Build retention mechanics into the product:
1. Weekly email digest: summarize what happened this week + one insight or action item
2. Activity notifications: "[Name] commented on your [item]" — not time-based ("It's been 3 days")
3. Progress indicators: Show users their cumulative value ("You've saved 14 hours this month")
4. Data investment: The more they use it, the more valuable their data becomes (history, reports, trends)
Feature Drips
Don't show everything on day 1. Reveal features as users are ready:
Tell AI:
Implement progressive feature disclosure:
- Week 1: Show only core features (the ones needed for the aha moment)
- Week 2: Surface advanced feature with a tooltip: "Now that you've [done X], try [advanced feature]"
- Week 3+: Unlock remaining features with brief explanations
- Gate premium features with a gentle upgrade prompt at the moment of need
Metrics to Track
Set these up in your analytics tool (see analytics-instrumentation skill):
| Stage | Key Metric | How to Calculate |
|---|---|---|
| Acquisition | Signup rate | Visitors → Signups |
| Activation | Activation rate | Signups → Completed aha moment |
| Activation | Time to aha | Average hours/days from signup to key action |
| Retention | D1/D7/D30 | % of users returning on day 1, 7, 30 |
| Revenue | Free-to-paid | Free users → Paying users |
| Referral | Viral coefficient | Invites sent × invite conversion rate |
Tell AI:
Set up growth tracking:
- Track signup events with source attribution (organic, paid, referral, direct)
- Track [aha moment action] completion with timestamp
- Calculate time-to-activate for each user
- Build a daily dashboard showing: signups, activations, D7 retention, free-to-paid conversion
- Alert me if activation rate drops below [X]% or D7 retention drops below [Y]%
Growth Experiments
When you want to improve a metric, frame it as a hypothesis:
- Hypothesis: "If we [change], then [metric] will [improve] because [reason]."
- Metric: What specifically will you measure?
- Duration: Run for 1-2 weeks minimum, or until 100+ users have been through the flow.
- Decide: Did the metric improve? Ship it or revert.
- Document: Write down what you learned, even (especially) from failures.
For A/B test setup, implementation, and reading results, see the conversion skill's A/B testing section.
Common Mistakes
| Mistake | Fix |
|---|---|
| Focusing on acquisition before activation | Fix activation first — no point driving users into a broken onboarding |
| Building viral features nobody uses | Viral loops must be part of the core workflow, not a sidebar feature |
| Measuring vanity metrics (signups) | Track activation rate and retention, not just signups |
| Trying all channels at once | Pick ONE, make it work, then add another |
| Complex A/B testing infrastructure | Use simple feature flags. You don't need Optimizely at 100 users |
Related Skills
- conversion — Funnel optimization, A/B testing, and signup flow CRO
- email — Welcome sequences and lifecycle emails that drive activation
- analytics — Set up the tracking that powers growth metrics
- retention — Deep-dive on churn prevention and win-back
- pricing — Pricing tiers and expansion revenue mechanics
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