Most conversion problems don’t show up in dashboards.
They happen inside real user sessions — right before a purchase, upgrade, or activation.
In this article, we show how to find those issues using Monolytics Research and analyze sessions of high-value users who didn’t convert.
Why classic analytics is not enough
Funnels tell you where users drop off.
Session research shows why they drop off.
Proof: conversion improvements come from understanding real user behavior, not aggregate metrics.
How Monolytics Research works
On the Deep Research page, you can:
- Describe sessions you want to find using natural language
- Select a record campaign as a data source
- Reuse previous searches from search history
If no sessions match your query, Monolytics clearly shows that no results were found.
Example: finding high-intent users who didn’t convert
In the tutorial, we walk through a real scenario:
- Find users who visited a key page in the product flow
- Narrow results to sessions with checkout-related events
- Include events like add_to_cart and Google Pay clicks
- Exclude sessions with a purchase event
- Refine results to Android users with sessions longer than 30 seconds
This leaves us with problematic sessions from high-value users — the most important ones to analyze.
Proof: high intent + no conversion = highest ROI insights.
Watch the full video tutorial
To see this process step by step, watch the video:
👉 https://youtu.be/PWKc1Cec9yM
What you gain from this approach
- Understand real reasons behind conversion drops
- Focus on users that actually matter for revenue
- Make product improvements based on evidence, not assumptions
Proof: session-driven insights lead directly to actionable fixes.
