Articles
Beyond data-driven: the growth framework I use on any product
TL;DR
There is a clear growth framework I use for any product. It shows exactly where to focus.
Context
There are only 3 ways to influence revenue: acquisition, retention, monetization. Retention makes or breaks companies, and it drives both of the others.
Revenue
Acquisition
- ICP
- Unit-economics
- Funnels
- Signup-rate
Retention
- Activation
- Engagement
- Resurrection
Monetization
- Pricing and packaging
- Conversion
- Expansion
- Acquisition
- Higher retention enables higher CAC. Each customer is worth more over their lifetime, so you can pay more to acquire them.
- Higher retention shortens payback. More of the cohort is still paying while you wait, so the acquisition spend comes back sooner.
- Higher retention gives more referrals. Users who stay recommend the product, which brings in customers at lower cost.
- Monetization
- Higher retention means higher LTV.
- Higher engagement leads to higher ARPPU.
That sets the hierarchy of priorities. The next question is how to apply it.
How to apply it
What to focus on first
- Is retention curve declining?Smiling curve is the targetIf yes: Create value
- If no, go to the next question:
- Is pricing value-aligned?The more engagement the higher LTVIf no: Tie pricing to usage
- If yes, go to the next question:
- Unit-economics matches?Payback shorter than customer lifetimeIf yes: Double down on acquisition
- Check if retention is flattening.
- If it isn't, focus on creating value. It is the hardest part, but you can't fake it.
- If the value is there, streamline time-to-value to prevent early churn.
- If retention is healthy, ensure the monetization baseline. Pricing must be value-aligned.
- The more customers use, the more they pay.
- The more they pay, the more we can reinvest into growth.
- If pricing is value-aligned, double down on acquisition.
Evergreen moves
- Create re-engagement to prevent churn.
- Upsell through higher engagement.
- Increase monetization awareness through feature adoption.
- Experiment with pricing offers.