New signups feel like progress. They are not. Returning users are your business. A product that grows fast and leaks fast loses to a product that grows slow and holds.
Before you spend another hour acquiring users, learn whether the ones you have stay. Retention is cheaper than acquisition and it compounds.
Start with one written sentence: why do people come back? Be specific. Vague answers mean you do not know yet.
Common loops:
| Loop type | Example |
|---|
| Notification | A daily summary or alert pulls them in |
| Habit | They open the app at the same time each day |
| Content | New material lands every week |
| Deadline | A weekly invoice, report, or check-in |
| Social | A teammate or friend pulls them back |
Then measure. Of 100 people who signed up four weeks ago, how many were active in week 1? Week 2? Week 4? Most analytics tools build this cohort table for you.
Cohort: 100 signups
Week 1 active: ___ (___%)
Week 2 active: ___ (___%)
Week 4 active: ___ (___%)
Stated retention loop: ___
If week 4 retention is in single digits, your loop is broken or imaginary. That is fixable, but only if you see it. Build on the funnel work from activation tune — activated users are the only ones who can retain.
Bad: "People come back because the product is useful."
Good: "People come back every Monday because we email them last week's metrics summary."
Bad: "Retention seems okay."
Good: "Week 1: 42%. Week 2: 28%. Week 4: 19%. Loop is the weekly digest. Open rate is dropping."
- Pouring more users into a leaky bucket because acquisition feels productive.
- Calling "the product is great" a retention loop. Name the mechanism.
- Skipping the numbers because they might look bad. Bad numbers you can see beat good numbers you imagine.
Write your retention loop in one sentence. Pull week 1, 2, and 4 cohort retention from your analytics. Save both in Notion.
A page with your stated retention mechanism and current week 1, 2, and 4 retention rates. Two sentences naming the loop, three numbers showing the truth.
New signups feel like progress. They are not. Returning users are your business. A product that grows fast and leaks fast loses to a product that grows slow and holds.
Before you spend another hour acquiring users, learn whether the ones you have stay. Retention is cheaper than acquisition and it compounds.
Start with one written sentence: why do people come back? Be specific. Vague answers mean you do not know yet.
Common loops:
| Loop type | Example |
|---|
| Notification | A daily summary or alert pulls them in |
| Habit | They open the app at the same time each day |
| Content | New material lands every week |
| Deadline | A weekly invoice, report, or check-in |
| Social | A teammate or friend pulls them back |
Then measure. Of 100 people who signed up four weeks ago, how many were active in week 1? Week 2? Week 4? Most analytics tools build this cohort table for you.
Cohort: 100 signups
Week 1 active: ___ (___%)
Week 2 active: ___ (___%)
Week 4 active: ___ (___%)
Stated retention loop: ___
If week 4 retention is in single digits, your loop is broken or imaginary. That is fixable, but only if you see it. Build on the funnel work from activation tune — activated users are the only ones who can retain.
Bad: "People come back because the product is useful."
Good: "People come back every Monday because we email them last week's metrics summary."
Bad: "Retention seems okay."
Good: "Week 1: 42%. Week 2: 28%. Week 4: 19%. Loop is the weekly digest. Open rate is dropping."
- Pouring more users into a leaky bucket because acquisition feels productive.
- Calling "the product is great" a retention loop. Name the mechanism.
- Skipping the numbers because they might look bad. Bad numbers you can see beat good numbers you imagine.
Write your retention loop in one sentence. Pull week 1, 2, and 4 cohort retention from your analytics. Save both in Notion.
A page with your stated retention mechanism and current week 1, 2, and 4 retention rates. Two sentences naming the loop, three numbers showing the truth.