<aside> 🚀 FREE STRATEGY CALL Want to grow your product through viral reach? We help teams across iGaming, mobile apps, AI products, and SaaS build creator-led organic distribution generating tens of millions of views at CPMs starting from $0.03.
<aside> 🚀 Book a free strategy call
</aside>
On the call you'll receive:
HOW THE COLLECTION WORKS: This is a shelf, not one giant dashboard. The first playbook builds your metric tree: how reach turns into conversions and what each conversion costs. Then you open only the playbook that answers this week's question. Every playbook gives you the exact metric definitions, four steps with a clear "done when" and one ready prompt for Claude. All definitions and decisions go into one shared document: the Metrics Dictionary.
WHO IT'S FOR: Founders, growth leads, marketers and analysts at apps, games and eCom brands who run creator content, paid channels or both.
THE RULES
[NEEDS INPUT]. No borrowed benchmarks.Create one document called Metrics Dictionary with these headings: Metric tree, Definitions, Data sources, Attribution rules, Cost inputs, Cohorts, Tests, Reports, Decisions log.
Paste this at the start of every Claude session:
You are my growth analyst. Work only from what I paste: the Metrics Dictionary, analytics exports, ad and creator spend, store console data and revenue data.
Rules:
- Never invent metrics, benchmarks, conversion rates, CAC or revenue. If something is missing, write [NEEDS INPUT: what].
- Use the definitions in my Metrics Dictionary. If a metric has no definition yet, propose one and label it PROPOSED.
- Show every formula you use next to the result.
- Separate facts (from my inputs) from your interpretation, and label each.
- End every answer with: decisions I need to make, and what to add to the Metrics Dictionary.
Current Metrics Dictionary:
[paste]
Use it when: your team looks at a lot of numbers but can't say which one moves revenue.
What it gives you: one tree from reach to revenue, so every number has a place and an owner.
| Level | Metric | Formula |
|---|---|---|
| Reach | Views, impressions | From platform data |
| Engagement | Click-through rate | Clicks / views |
| Conversion | Install or purchase rate | Installs or orders / clicks or store visits |
| Activation | First key action rate | Users who did the key action / new users |
| Value | Revenue per user | Revenue / users in the cohort |
| Cost | Acquisition cost | Fully loaded spend / new customers |