Diagnose Conversion Drops With Session Replay Records

To diagnose conversion drops with session replay records, start with the users who reached the flow and did not complete it. Then review what they actually did right before they abandoned, hesitated, or backed out.
Session records help you see real user behavior, not assumptions. They turn silent drop-offs into observable evidence, so the next fix is based on behavior rather than guesswork.
In this article, we show how to find conversion issues using Monolytics session records and filters.
Diagnose conversion drops with Monolytics Records
Analytics numbers show what happened.
Session records show the behavior around the issue.
By watching real sessions, you can see where users hesitate, get confused, or abandon the funnel.
This gives direct evidence of conversion problems.
How to analyze conversion issues
In Monolytics, session records are available in the Records section.
On the Analytics page:
- Filters are shown at the top.
- Recorded sessions are shown at the bottom.
Filters help you focus on specific user groups:
- Source filter shows users from paid ads or other traffic sources.
- User type filter separates new and returning users.
- Browser, device, and OS filters help identify technical issues.
- Events AND filter shows users who completed selected funnel steps.
- Events OR filter shows users who started a funnel.
- Without events filter shows users who dropped out of the funnel.
Example: users who did not purchase
Using event filters, you can easily find users who:
- selected an item,
- added it to the cart,
- but did not complete a purchase.
This is a clear conversion drop-off.
It is based on real user actions, not assumptions. Before you watch the sessions, make sure the underlying events are captured correctly; the Monolytics event-tracking setup guide covers the minimum events a records-based diagnostic needs to be meaningful.
Watch session replays
To understand what went wrong, you can open any session using the Replay button.
You see exactly where users stop, hesitate, or leave.
You can also share a session with your team by clicking Copy Record URL.
This makes collaboration faster and clearer.
Video walkthrough
Watch the full step-by-step walkthrough in this video:
👉 https://youtu.be/oVAjqvJvyxY?si=bQulj_2QflyD_4Al
Conclusion
Session records turn conversion problems into visible evidence.
By combining filters and replays, you can clearly see why users do not convert and fix issues faster.
When Monolytics helps most
Records are the right entry point when the team needs to see actual user behavior at a specific failure point, not when the goal is to mine patterns across thousands of sessions. Pair Records with Monolytics Research when the same hesitation shows up repeatedly and needs pattern-level analysis. The Monolytics product overview explains how records and research fit together in one workflow, and the full records setup for specific funnel steps is covered in Record Campaigns.
Related diagnostics in the same pillar
- How to see conversion issues using Monolytics Research when you need pattern-level insight instead of watching individual sessions.
- Record Campaigns for conversion issues when records have to target one specific flow or campaign.
- Session replay analysis workflow when the team needs a repeatable way to choose which recordings to review, tag friction, and decide the next action.
- Dead click analysis when exact sessions show non-responsive CTAs, cards, fields, or controls that need triage before becoming a fix ticket.
- Why users ignore primary CTA buttons when the failure is at the CTA moment itself.
- UX research for B2B SaaS teams when the broader context is a research programme, not a single funnel step.
Continue in Monolytics after the diagnosis
- Open Monolytics Records to inspect the sessions behind the conversion drop you just identified.
- Open Monolytics Research to group the recurring hesitation signals instead of reviewing replays one by one.