Ship features that matter.
Prove it with data.

Product analytics tells you what users click. LogoPulse tells you which customers succeed. See how features, onboarding, and engagement translate to customer health.

Why Product Teams Use LogoPulse

The gap between product analytics and customer success

Mixpanel tells you 2,000 users clicked a button. LogoPulse tells you which of your 150 customer accounts are healthy because of it.

Product analytics answers versus LogoPulse answers
Product questionProduct analytics answerLogoPulse answer
Is feature X driving retention?"23% of users used it""Accounts that adopted it have 82 avg health score vs 51 for those that didn't"
Where does onboarding break?"Step 3 has a 60% drop-off""43% of accounts stall at Integration Connected. Avg time stuck: 9 days."
Which customers love us?"Daily active users: 340""42 accounts have health score > 80, growing entity velocity, and all features adopted"
Did the last release help?"Usage went up 12%""Health score trend improved for 67% of accounts in the 2 weeks after release"
The Solution

What Product Teams Track

Feature adoption rates

See which features are adopted across your customer base and how adoption correlates with health. Identify features that aren't landing — and decide whether to improve them or remove them.

Onboarding bottlenecks

Stage-by-stage funnel analysis shows exactly where customers stall. Time-to-stage metrics tell you how long each step takes. Use this to prioritize onboarding improvements.

Entity velocity as a product metric

How many entities are customers creating per day? Is that number growing or shrinking? Entity velocity is a proxy for product value — if customers are creating more, they're getting more done.

Feature-to-health correlation

Which features appear in healthy accounts vs at-risk accounts? LogoPulse surfaces this correlation so you can prioritize features that drive outcomes, not just usage.

Setup: 10 Minutes

  1. Engineering adds SDK event tracking once: npm install @logopulse/sdk and a few lp.track() calls
  2. Define entity types and features in the Settings dashboard — no code required
  3. Set onboarding stages and health score weights
  4. Done. Feature adoption, funnels, and health scores start populating within the hour.

Frequently asked questions

How is this different from Mixpanel or Amplitude?
Mixpanel/Amplitude track events at the user level across your entire product. LogoPulse aggregates activity at the account level and translates it into health scores, onboarding stages, and risk indicators. They answer "what are users doing?" LogoPulse answers "which customers are succeeding?"
Can we use both?
Absolutely. Use product analytics for feature-level insights and funnel optimization. Use LogoPulse for account-level health, churn risk, and onboarding tracking. They're complementary.
Can product teams configure LogoPulse without engineering?
Health score weights, onboarding stages, entity definitions, and feature definitions are all configured in the Settings dashboard — no code required. Engineering only needs to add SDK event tracking once.

Build features that drive customer health