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This article explores the concept of Retention Rate, which measures the percentage of customers who continue engaging with a product over time. It highlights the importance of retention for sustainable growth, discusses common mistakes, and provides actionable insights for improving retention across different business models. Click to read more!

Retention Rate measures the percentage of users or customers who continue to engage with your business over a defined time period — whether by returning to your product, repurchasing, or remaining subscribed.
Formula:
Retention Rate = ((E - N) / S) × 100
Where:
Example:
You start Q1 with 1,000 customers, add 200 new ones, and end with 1,050.
Retention Rate = ((1050 - 200) / 1000) × 100 = 85%
Think of retention as the inverse of churn — it tells you if your leaky bucket is actually sealing up.
Retention rate becomes especially actionable in:
Use it when:
If you're investing in acquisition, retention tells you if the customers were worth it.
High retention means every new customer adds to your base. Low retention? You're on a treadmill — always running to stay in place.
Better retention = higher LTV = better CAC/LTV ratio. That gives you more room to scale media spend and tolerate longer payback periods.
It’s cheaper to keep a customer than acquire a new one. Boosting retention by even 5% can increase profits by 25–95% (source: Bain & Co).
If users keep coming back without heavy incentives or reminders, it’s a sign your product is inherently valuable.
Measuring "All-Time" Instead of Cohorts
Aggregate retention hides problems. Always measure cohort-based retention (e.g. Jan signups, Q2 purchasers).
Ignoring Revenue Retention
Not all retained customers are equal. Someone who spends $20 once vs $500 quarterly? Use Gross Revenue Retention (GRR) and Net Revenue Retention (NRR) when possible.
One-Size-Fits-All Time Frames
What counts as “retained” in SaaS (monthly logins) ≠ what matters in DTC (repeat purchase in 30/60/90 days). Define retention by business model + intent.
Retention Rate = ((E - N) / S) × 100
Repeat Purchase Rate = (Repeat Customers / Total Customers) × 100
Track this by cohort to measure how your post-purchase experience is performing.
Tools: GA4, Mixpanel, Amplitude, Triple Whale (for eComm)
Retention Rate connects deeply to:
It also plays a pivotal role in:
| Metric | Focus | Calculation |
| Retention Rate | Who stayed | ((E - N) / S) × 100 |
| Churn Rate | Who left | (Lost Customers / Starting Customers) × 100 |
Both are sides of the same coin.
Retention is your momentum. Churn is your drag.
At 2x, we treat retention rate as the ultimate lever of sustainable growth. Here’s our operating POV:
What’s a good retention rate?
Depends on the model:
How do I measure retention in GA4?
Use Explorations → Cohort report. Track “Returned in X days” based on user ID or session ID.
Retention is the test of your offer’s truth.
It answers: “Was this actually worth it?” And if the answer is yes — customers keep coming back.
The integration of AI into the legal industry is still in its early stages, but the potential is immense. As AI technology continues to evolve. We can expect even more advanced applications, such as:
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Extract structured data from hundreds of documents at the same time.
Extract structured data from hundreds of documents at the same time.


