The Session Replay Trap
You’ve watched hundreds of session replays. You’ve seen users rage-click. You’ve watched them abandon carts. You’ve witnessed the confusion.
And then what?
You wrote up findings. You created tickets. You waited for sprint planning. You negotiated priority. Maybe—maybe—it shipped next quarter.
Session replay shows you problems. It doesn’t solve them.
The AI Analytics Difference
What if instead of watching replays, you could ask:
“Why are users dropping off at checkout step 3?”
And get an answer like:
“78% of dropoffs occur when shipping cost is revealed. Users who see shipping earlier convert 3.2x higher. Similar patterns seen in cohorts A, B, and D.”
Now you have:
- The problem identified
- The root cause analyzed
- The solution suggested
- The expected impact quantified
All in 30 seconds. No replay watching required.
When to Use Each
Use session replay when:
- You’re debugging a specific bug
- You need to see exact UI interactions
- You’re doing qualitative research
Use AI Analytics when:
- You need to understand patterns at scale
- You want actionable recommendations
- You’re making product decisions
The Integration Story
The best teams use both. Clayva’s AI Analytics identifies patterns, then you can dive into specific sessions for validation.
But start with AI. Let it surface what matters. Then go deep when necessary.
