.svg){kind=logo}
Find where activation breaks, fix it, and prove the lift.
See the exact step where signups stall, rank blockers by impact, predict the return, and prove the result after ship.
.svg)
Why new users stall before value ?
Funnels show that signups never activate, but not whether setup, an integration, pricing, or an empty state blocked the first aha moment.
.avif)
Map the self-serve journey
Track signup through value milestones so the loss-heavy step becomes visible.
.avif)
Open sessions behind the stall
See setup confusion, silent integration failures, pricing surprises, and empty states in context.
.avif)
Fix the highest-impact blocker
Rank blockers by affected accounts and impact so the next cohort does not hit the same wall.
Turn activation drop-off into product value
FullSession combines funnels, replay, heatmaps, form analytics, and error context so you can see why new users stall before value—and which changes lift activation.
Identify the actions that best represent activation in your product—first project, first integration, first collaboration—and mark them as milestones to track.
Build funnels that follow users from signup through onboarding steps to activation milestones, then see where they drop off across sources, plans, and devices.
.svg)
Jump from activation metrics into real user sessions, heatmaps, and feedback so you can see where users hesitate, rage-click, or abandon flows before aha.
What PLG teams get
Focus on the one or two steps carrying most of the loss—commonly lifting trial-to-paid by around +14% for the fixed cohort.
.avif)
Focus on loss-heavy steps
Fix the blockers that matter instead of redesigning the entire flow.
.avif)
Prioritize faster by impact
Replace onboarding theory with ranked evidence and affected accounts.
.avif)
Protect engineering time
Send sprints to the step proven to cause the loss, not the most plausible guess.
.avif)
Compound activation gains
Every validated fix raises the baseline for every cohort that follows.
How FullSession fixes activation
Rank activation blockers, predict the improvement, and validate the result against baseline.
Teams use FullSession to turn behavior into proven outcomes.
"FullSession shows us exactly where users get stuck without digging through hours of recordings. It’s where we start when we know there’s something wrong and needs fixed. It was easy to launch and the FullSession team is super responsive and helpful."
12x
5x
Safe to run against signup data
Protect first-touch profile, company, and billing details before capture.
Mask fields, elements, or entire pages at capture, so sensitive data never reaches FullSession. Add playback masking and honor user consent or opt-out preferences.
Use capture-side masking, RBAC, SSO/SAML, audit logs, GDPR and CCPA support, US hosting and EU residency on request.
Enterprise-ready security reviews, uptime SLAs, and independently verified safeguards. Data is hosted in the US, with European residency available on request.
Frequently Asked Questions.
Product analytics tells you activation dropped. FullSession shows the sessions where it dropped and ranks which fix moves it most, with a predicted number.
No. Replay, heatmaps, and funnels run on your existing instrumentation.
From real behavior across sessions, funnels, and technical signals tied to your activation goal, with a predicted lift and confidence for each opportunity.
Yes. FullSession measures the actual lift against baseline after you ship.
Yes, through the MCP server (https://www.fullsession.io/product/mcp-server/) in Claude and Cursor.
Every signup you lose before activation is a fixable session, not a fixed cost.
Find the blocker, fix the step, and raise the baseline for every cohort after it.
.svg)
.svg){kind=logo}
212 E Stone Path St Derby, KS 67037 Phone: +1 415-649-4222
All systems operational.