Growth strategy

Skill bg-szy/TOP-SKILLS/skills/marketplace/growth-strategy

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Install

npx -y skills add bg-szy/TOP-SKILLS --skill growth-strategy

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What its author says it does

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Design ethical growth strategies using product-led loops, measurable experiments, and privacy-aware guardrails.

SKILL.md

4.7 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

Growth Strategy

Modern growth hacking: loops + product-led growth + disciplined experimentation, under privacy and deliverability constraints.

When to Use

Designing growth strategy or GTM plans
Planning experiments and A/B tests
Optimizing activation, retention, or referral flows
Building viral/referral loops
Reviewing growth tactics for ethics/compliance

Core Principle

If a "hack" doesn't strengthen a loop or an input metric, it's noise.

1. Growth Model First

North Star Metric (NSM)

Single metric aligning the whole org
Plus input metrics (leading indicators you can move weekly)
Avoid vanity metrics

Growth Loops > Funnels

Loops: Closed systems where outputs feed inputs → compounding growth
Funnels: Linear → diminishing returns

Common loops:

Loop Type	Example
Viral	User creates → shares → new users
UGC/SEO	User creates content → indexed → new users find
Paid	Revenue → reinvest in ads → more revenue
Sales	Customer → case study → new leads

Product-Led Growth (B2B/SaaS)

Product itself drives: Acquisition → Activation → Retention → Monetization

2. Instrumentation

Event Taxonomy

Clean identity resolution: anonymous → user → account
Cohort retention tracking
Activation milestones defined

Incrementality

Holdouts / geo splits when attribution is noisy
Don't trust last-click blindly

Metric Categories

Type	Examples
Core	NSM + input metrics
Guardrails	Churn, spam rate, refunds, latency, NPS

3. Experimentation Engine

Intake System

Single queue + scoring (RICE/ICE)
Weekly cadence

Test Definition (Required)

High-ROI Test Areas

Onboarding steps
Paywall copy
Pricing/packaging
Referral incentive
Landing page variants
Lifecycle messages

4. Lever-Specific Playbooks

Activation & Onboarding (Highest ROI)

Reduce time-to-value
Templates, importers, "one-click first win"
Progressive disclosure (ask when needed, not upfront)
Guided setup flows

Viral/Referral Loops

Build shareable artifacts (reports, badges, embeds)
"Invite teammates" as natural workflow
Reward activated referrals, not just signups

Content + SEO

Programmatic SEO: template + real value + strong linking
Audit/prune thin pages (don't endlessly generate)
Quality > quantity

Lifecycle (Email/Push)

Deliverability is gating factor:

SPF/DKIM for all senders
DMARC for bulk
Keep complaint/spam rates low

Community-Led Growth

Seed right early members
Great "first experience"
Connect to business outcomes (support deflection, referrals)

5. Privacy & Measurement Constraints

Expect

Less reliable cross-site tracking
Cookie-based attribution unstable
Platform policy changes

Adapt

First-party data focus
Server-side signals
Incrementality testing
Design measurement that survives policy changes

6. AI in Growth

Good Uses

Generate creative/landing page variants to test (humans review)
Summarize qualitative feedback
Cluster objections
Speed up research

Avoid

"AI content spam" at scale without quality control
Backfires in SEO and brand

7. Hard Red Lines

If a tactic can't survive being in a postmortem or public doc, don't ship it.

Never:

Spam (email/SMS)
Fake reviews
Scraping that violates ToS
Dark patterns
Deceptive pricing/consent

Output Format

When proposing growth initiatives:

## Initiative: [Name]
**Loop/Lever**: [Which growth loop or lever this strengthens]
**Hypothesis**: [If we do X, Y metric will improve by Z because...]
**Input Metric**: [What leading indicator we're moving]
**Guardrails**: [Metrics that must not regress]

### Implementation
[Concrete steps]

### Measurement
[How we'll know it worked]

### Kill Criteria
[When to stop if failing]

Quick Checklist

Before shipping any growth tactic:

Does it strengthen a loop or input metric?
Is the hypothesis testable?
Are guardrails defined?
Is it compliant with platform ToS?
Would you put it in a public doc?
Does it respect user privacy?
Is deliverability accounted for (if email)?

See references/ for detailed playbooks.

Keep looking

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