Growth Marketing

SkillMedia

Design acquisition experiments, run them, and analyze results with a testing loop. Use when growth is flat or channels are unproven.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Growth Marketing skill

What this skill tells your AI

The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/growth-marketing/SKILL.md and read by ahel’s review.

Overview

Growth = disciplined experimentation. Hypothesis → smallest test → measure → decide. No "let's try everything".

Experiment template

## Experiment: <name>
- Hypothesis: if we [change], then [metric] improves because [reason]
- Metric + baseline: ...
- Minimum success: ...
- Cost/effort: ...
- Duration: ...
- Result: ... → scale / iterate / kill

Idea sources

  • Funnel data: biggest drop-off step (marketing-analytics)
  • Voice of customer: sales calls, reviews, support tickets
  • Competitor moves (competitor-intelligence)
  • Channel playbooks: cold outbound, SEO, communities, partnerships, referrals

Workflow

  1. Map the funnel with real numbers; find the constraint.
  2. Backlog 5-10 experiments; score ICE (Impact, Confidence, Ease).
  3. Persist experiments on the Marketing desk (marketing action=improve / metrics).
  4. Weekly review: start the desk loop (marketing action=start) on a saved schedule. Never create a chat cron that ticks KPIs.
  5. Scale winners into always-on programs via marketing action=content and campaign-manager.

Rules

  • One variable per experiment when possible.
  • Kill criteria are set before launch.
  • A failed experiment with a clear learning is a win; an unmeasured one is a loss.

Signals

GitHub stars
22
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
growth-marketing
Source
github.com/navinspire-ia/navin