Growth Leaks

Stop Losing Accounts After Onboarding

Uncover your Growth Drivers and Growth Leaks by correlating engagement, feature usage & account-level signals

Identify your Growth Drivers, detect Growth Leaks, and boost product stickiness.

Who Is This For?

Built for Product & Growth Teams

Obsessed With Usage and Retention!

Product Managers

Tracking feature usage but missing context on what drives repeat behavior—or where adoption quietly drops off.

Growth Teams

Analyzing user and account data without a clear view of what keeps different segments active over time.

Founders

Measuring engagement across segments, but struggling to connect insights to retention, upsell, or roadmap bets.

Engineering & Data Teams

Building features based on assumptions—without feedback loops that show what’s working, what’s ignored, and why.

Use-cases

Top Engagement Leaks


Because knowing who visits isn’t the same as knowing who converts.

1
Core Feature Avoidance Leak
Which product features are users using the most?
2
Activated but Never Returned Leak
Do my users continue using my product after activation?
3
Low Intensity Usage Leak
Are my users "active" in name only?
4
No Collaboration Leak
Are my users bringing in more users?
5
The Activity Drop-off Leak
Are new users engaging with my product?
Who Is This For?

Built for Product & Growth Teams Obsessed With Usage and Retention

  • Product Managers tracking adoption and usage
    Growth teams analyzing user and account behavior
    Founders measuring feature engagement by segment
    Engineering and Data teams building the right things
ThriveStack’s Solution

Turn Feature and Account Usage Into Real Growth Signals

1

Detect drop-offs in usage frequency and engagement depth

2

Track adoption of key features by segment, persona, and account

3

Identify power users and engaged accounts

4

Monitor post-onboarding engagement flow in real time

5

Set alerts for inactivity before churn begins

Expert Reviews

Expert Insights: Fixing Product
Engagement Drop-Offs

"The best predictor of customer retention is product usage. If customers are engaged, they’re more likely to renew and expand."

Nick Mehta
CEO at Gainsight

"Increasing product engagement is the single most important indicator that your customers are finding value—and that they’ll stick around."

Dan Olsen
Author of The Lean Product Playbook

"If you want to predict churn, look at engagement. If you want to drive expansion, look at engagement. It’s the common denominator."

Lincoln Murphy
Customer Success Consultant

"You can’t grow revenue without growing engagement. Expansion and retention are natural outcomes of a product that’s habitually used."

Elena Verna
Growth Advisor & former Head of Growth at SurveyMonkey
What to Measure

What Top SaaS Teams Track to Plug
Engagement Leaks

Metric

  • DAU, WAU, MAU
  • Feature Adoption
  • Product Stickiness
  • Account-Level Usage
  • Churn and Usage Correlation

Why It Matters

  • Core indicator of active user base
  • Which features drive repeated engagement
  • DAU/MAU ratio shows retention potential
  • Shows health across key customers
  • Align customer actions with behavior
Business Impact

When You Fix Engagement Leaks, Here’s What Happens to Your Metrics

Metric
Before ThriveStack
With ThriveStack
Stickiness (DAU/MAU)
0.2–0.3
0.5–0.7
Feature Adoption (core)
~15%
35–60%
Power User %
Low, undefined
Defined & growing
Account Health Score
Absent
Quantified & tracked

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Frequently Asked Questions

1. What’s an engagement leak, and why is it dangerous?

An engagement leak happens when users sign up but fail to build habits or return consistently. Without sustained usage, even converted users churn—hurting retention, LTV, and referrals. ThriveStack helps you spot and fix these blind spots early.

2. How does ThriveStack identify engagement drop-offs in the user journey?

ThriveStack maps user behavior over time, highlighting where engagement dips—by segment, cohort, or persona. It alerts you to underperforming features, inactive users, or usage plateaus so you can intervene before churn sets in.

3. Can ThriveStack show which features correlate with long-term retention?

Yes. ThriveStack tracks which in-product actions, flows, or modules are used most by your high-retention users—giving you a clear view of what drives value and what features are being ignored.Customer Analytics is essential for SaaS companies that need a full view of their customer journey to drive growth, retention, and monetization.

4. How is this different from traditional product analytics?

Product analytics show what users do. ThriveStack goes deeper—connecting engagement data with acquisition source, persona, and monetization potential to uncover why certain users engage while others fade out.

5. Can ThriveStack help us improve user onboarding and feature adoption?

Absolutely. ThriveStack highlights onboarding friction and feature drop-offs by user type—so Product and CS teams can optimize flows, trigger nudges, and personalize experiences that boost stickiness and reduce early churn.

Ready to Fix Silent Drop-Offs and Boost Engagement?

Let’s turn passive users into engaged customers — proactively

  • Detect feature drop-offs and low-engagement workflows
    Alerts when usage stalls post-activation
    Uncover power users and stickiness signals
    Account-level insights into your Growth Drivers and Growth Leaks