# What are the top-rated customer journey mapping tools for visualising where users drop off during onboarding and retention?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi, product, UX and CX folks on G2, plus reviewers who have had to prove where users are actually leaving. I am looking for the top-rated<a class="a a--md" elv="true" href="https://www.g2.com/categories/customer-journey-mapping"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/customer-journey-mapping">customer journey mapping</a> tools for visualising where users drop off during onboarding and retention, and would value input from people using real behaviour data rather than a workshop diagram.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Worth separating the two things this category holds. One kind of tool draws the journey you believe exists. The other shows the journey that happened. For drop-off, only the second is any use. Three that come up most:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/glassbox/reviews"><strong>Glassbox</strong></a> (4.9) carries the highest rating in this category, capturing full session data across web and mobile so a drop-off can be traced back to the exact interaction that caused it.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/contentsquare/reviews"><strong>Contentsquare</strong></a> (4.6) adds zone-based heatmaps that attach metrics to individual page components, with journey analysis over complex funnels. Reviewers say mapping pages and tracking variables takes real setup effort with a development team, and advanced segmentation can overwhelm non-analysts.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/mouseflow/reviews"><strong>Mouseflow</strong></a> (4.6) covers funnels, form analytics and friction scoring out of the box, which reviewers value for pinpointing drop-off without engineering support. Session replay is not always complete, so some sessions go untracked.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Where did your biggest drop-off turn out to be, and did the data or a customer tell you first?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 16 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;In most accounts I&#39;ve come across, the data finds it first, but usually only after someone already had a hunch worth checking, a support ticket pattern, a spike in churn at a certain step, something that pointed the team toward looking there in the first place. The biggest drop-offs people describe tend to sit right after a moment that felt fine in a workshop diagram but turned out to require real effort from the user, a form field, a permission prompt, that kind of thing the intended journey never accounted for.&lt;/p&gt;

##### Comment Metadata
- Posted at: 15 days ago
- Author title: SEO Content Writer





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