Been diving into customer analytics lately. Noticed some tools are adding AI features, others are going niche.
Curious how other teams are adapting their analytics stack. What’s actually moving the needle for you?
I’ve found simple event tracking tools give the most bang for your buck. They let you see how users actually use your app, not just vanity metrics.
Set up a few key funnels and watch where people drop off. Then make small tweaks and measure the impact.
No need for fancy AI or complex dashboards. Just focus on what moves your core metrics.
We’ve had good results with a mix of basic and specialized tools.
Mixpanel for core metrics and funnels. Super easy to set up custom events and segment users.
Hotjar for qualitative insights. Heatmaps and session recordings show how people actually use the app.
Custom SQL queries for deeper dives. Sometimes you need to slice data in ways pre-built tools can’t.
The game-changer was tying analytics to actual revenue impact. We assign dollar values to key actions, then optimize for those.
No AI magic, just iterative testing based on data. Small tweaks add up over time.
We use basic tools like Google Analytics. Keep it simple. Look at user flow and drop-off points. Make small changes based on that data.
Honestly most tools are overkill. Track a few key metrics and test stuff.
Forget the fancy AI bells and whistles. Focus on actionable data that impacts revenue.
For us, cohort analysis and retention curves are gold. They show where users drop off and where to optimize.
Segment users by behavior, not just demographics. Target your best segments to boost LTV.
A simple funnel analysis often reveals quick wins. Fix the leaky parts before chasing new users.
Most teams overcomplicate it. Pick 3-5 key metrics tied to growth and optimize relentlessly.