Funnel Diagnosis
Funnel reports show where users leave. This collection focuses on the next step: selecting the failed cohort, comparing successful and unsuccessful journeys, reviewing representative session evidence, and deciding whether to fix, instrument, survey, test, or continue monitoring.
The guides cover signup, onboarding, activation, pricing, demo-request, and trial-to-paid paths without inferring user intent from a drop-off metric alone.
AI Funnel Analysis With Session Replay
Use AI-assisted session replay analysis to move from funnel drop-off to replay-backed evidence, confidence labels, and the next product action.
How to Diagnose Contact Form Drop-Off With Session Replay
A precise teardown for teams losing qualified inquiries at the contact-form step, with a short evidence-first review sequence.
How to Analyze Onboarding Friction in B2B SaaS
Use a practical onboarding friction workflow to map the first-value path, compare stalled and successful sessions, ask targeted questions, and choose the next fix.
Trial-to-Paid Drop-Off Signals Product Teams Should Watch
The behavioral and qualitative signals that usually show up before trials stall out and never become paid accounts.
How to Find Funnel Leaks Between Landing Page and Demo Request
Map the landing-to-demo journey, identify where high-intent visitors lose momentum, and validate fixes with session evidence and targeted feedback.
Find Repeated Conversion Issues With Monolytics Assistant
Use Monolytics Assistant session search to isolate repeated conversion issues across high-intent sessions and turn the evidence into a clear fix backlog.
Diagnose Conversion Drops With Session Replay Records
Find the exact sessions behind a conversion drop: filter failed users, compare behavior before abandon, and turn Monolytics Records into a fix brief.
How to Find Conversion Issues With Record Campaigns
A practical workflow for capturing high-intent failed sessions with Record Campaigns and turning replay evidence into fixable conversion issues.
