Product Engagement Report

Start making smarter product decisions—faster.

Getting actionable insights from user data is now table stakes for all Software applications, and has long been a complex, time-consuming process. Competing product analytics tools often require months of setup and extensive developer involvement—delaying results and dampening momentum.

What’s New

ThriveStack's new Product Engagement Report takes <10 mins to setup, delivers instant insights with zero hassle. It auto-analyzes your event data to reveal:

• Feature Adoption rates, usage frequency, Time to adoption
• Account and User-level behavior patterns
• Viral growth features 

Why It Matters

While our competition takes 3–6 months to show results, ThriveStack's guided setup, real-time validation, and instant reporting make data accessible from Day 1.

Hear it directly from our customers

"It took over 4 months to get Amplitude running. With ThriveStack, we were up and running in no time—and now, our product and engineering team uses it to understand what features to instrument and the real time analytics reports are an incredible value" - Devon Jones, VP of Product Management.

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Setup Track Onboarding Events (aka Track Product Activation)

Now, Turn onboarding into your product’s growth engine.

Background‍

Onboarding event tracking has often been a bottleneck—developer-dependent and misaligned with product goals. This led to delays in understanding activation metrics and acting on customer friction points.

What’s New‍

ThriveStack’s PM-first collaboration model redefines how teams track onboarding:

• PMs define key milestones
• Developers receive auto-generated code snippets for seamless implementation
• Teams gain visibility into drop-offs, time-to-value, and get alerts on activation struggles

Why It Matters

This intuitive interface aligns product vision with technical execution, enabling faster setup, deeper insights, and proactive engagement—all without the usual friction.

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Auto-Correlation from Visitor to Signed-Up Users

Connect the dots from first visit to product activation—automatically.

Background

Traditionally, teams needed external tools and deep technical know-how to correlate web visitors with signed-up users. This meant syncing disparate IDs (like device/session IDs vs. user IDs, marketing attribution/UTM parameters), involving data engineers, and running complex joins across siloed systems—often outside the product stack.

What’s New‍

ThriveStack now offers auto-correlation between website analytics and product analytics using our BowTie Revenue Architecture data model:

• No manual data stitching
• No data warehouse exports

Just seamless insight from anonymous visitor to active user

Why It Matters

This breakthrough eliminates silos between marketing and product analytics—unlocking full-funnel visibility with zero engineering effort.

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