Data insights engine
Automated product analytics for actionable growth insights
Drowning in analytics data but not sure what it actually means for your growth? The Data Insights Engine is your AI-powered analytics analyst, it processes your raw CSVs from tools like Mixpanel, Amplitude, or Google Analytics, and turns them into clear, actionable growth insights.
What is it?
An automated analytics analysis tool built into CrackGrowth’s UX Diagnostic Tool. It detects conversion bottlenecks, engagement drop-offs, and retention patterns, then ties them directly to specific UX and growth experiments you can run to fix them.
Why it matters?
Most analytics dashboards tell you what happened, but not why, or what to do next. The Data Insights Engine bridges that gap by pairing data science with behavioral UX principles, so you can go from metric to action in one step.
Who is it for?
Growth Co-Pilot adapts to the way you work, whether you’re leading a team, designing flows, or shipping experiments solo.
SaaS founders
Who want data-backed decisions without a data team
Growth teams
Looking for faster, clearer analytics interpretation
Product managers
Managing multiple funnels and feature metrics
Mobile app teams
Wanting instant behavioral insights
How does it work?
Growth co-pilot turns your toughest product questions into clear, data-backed recommendations you can act on immediately.
1
Import your data
Upload CSVs from your analytics tool
2
AI processing
The engine runs 200+ growth diagnostics, checking for anomalies, drop-offs, and cohort trends.
3
Insight output
Get the most important insights extracted from your data
What are the key benefits?
Everything you need to make smarter growth decisions, without the guesswork or wasted time.
Automate product analytics analysis with zero setup
Spot hidden growth opportunities you’d miss in dashboards
Tie metrics to specific experiments instantly
Save hours of manual analysis every week
“We thought activation was fine, until the Data Insights Engine showed a 35% drop-off on step three of onboarding. Fixing it boosted sign-ups by 18%.”