Claude
Skill
growth-marketing
Design acquisition experiments, run them, and analyze results with a testing loop. Use when growth is flat or channels are unproven.
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Download
navinspire-ia-navin-navin_skills_growth-marketing-e9c73a3.zip · 0 KB
Install
skills CLI
npx skills add https://github.com/Navinspire-ia/navin/tree/main/navin/skills/growth-marketing
Claude Code
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install navinspire-ia-navin@llmmart
Git
git clone https://github.com/Navinspire-ia/navin.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole navinspire-ia/navin collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Growth Marketing
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
- Map the funnel with real numbers; find the constraint.
- Backlog 5-10 experiments; score ICE (Impact, Confidence, Ease).
- Persist experiments on the Marketing desk (
marketing action=improve/ metrics). - Weekly review: start the desk loop (
marketing action=start) on a saved schedule. Never create a chat cron that ticks KPIs. - Scale winners into always-on programs via
marketing action=contentandcampaign-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.
Files (navin)
-
SKILL.md 1.5 KB
--- name: growth-marketing description: Design acquisition experiments, run them, and analyze results with a testing loop. Use when growth is flat or channels are unproven. metadata: {"navin":{"emoji":"📈","category":"marketing"}} --- # 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.
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