# Growth Marketing

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

- Skill: `navinspire-ia/growth-marketing` (Agent Skill)
- Install (CLI): `npx skillmds@latest add navinspire-ia/growth-marketing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/navinspire-ia/growth-marketing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: Navinspire-ia (https://skillmd.com/u/navinspire-ia)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/navinspire-ia/growth-marketing

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# Growth Marketing

## Overview

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

## Experiment template

```markdown
## 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.