Analyze FullStory sessions for conversion blockers in minutes
Paste or upload your FullStory session data → uncover the exact friction points, rage clicks, and UX failures killing your conversion rate
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"Users consistently rage-click the promo code field before abandoning — the field clears on blur and forces them to re-enter their email, causing mass drop-off at the final step."
"Visitors on the pricing page scroll back and forth between the Pro and Business tiers over 6 times on average before leaving — the feature comparison lacks clarity on the core differentiator."
"On iOS devices, the primary 'Get Started' button is partially hidden behind the browser navigation bar, making it unclickable for over 30% of mobile sessions."
"Users who hit the mandatory sign-up gate before seeing product value drop off at a 74% rate — sessions show immediate back-navigation after the modal appears."
What teams usually miss
Individual FullStory sessions look like one-off frustrations, but across hundreds of recordings the same broken interaction appears repeatedly — and teams never connect the dots manually.
Conversion blockers that only affect Android or Safari users get buried in blended session data, making them invisible until a significant revenue loss has already occurred.
Users who pause, scroll back, or hover without clicking signal unresolved doubt — these micro-behaviors precede abandonment but are rarely surfaced without systematic qualitative analysis.
Decisions you can make from this
Prioritize which checkout or form fields to redesign first based on which specific elements are causing the highest rage-click and abandonment rates across sessions.
Decide whether to remove, delay, or redesign your sign-up gate based on clear evidence of where forced account creation is killing conversion momentum.
Allocate engineering sprint capacity to fix mobile layout bugs that are confirmed — not assumed — to be blocking a measurable percentage of your highest-intent visitors.
Rewrite or restructure specific pricing and feature comparison copy based on the exact points in sessions where users show confusion and exit without converting.