Author: Roman Mohren (CEO)
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Crazy Egg vs Microsoft Clarity: how to choose for activation, not just price (as of March 2026)
If you are a Growth PM owning activation and onboarding, the “crazy egg vs microsoft clarity” decision is rarely about heatmaps versus recordings. It is about whether your team needs fast exploratory diagnosis, repeatable segmentation workflows, and reliable validation after you ship changes. Crazy Egg and Microsoft Clarity overlap on core behavior visuals (heatmaps +…
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Heatmaps vs Session Replay: What Each Tool Actually Reveals and When to Use Them
You can see your traffic numbers.You can see your conversion rate. But those numbers rarely explain one important question. What are users actually doing on your website? Traditional analytics tools show outcomes such as bounce rate, page views, and conversions. They rarely explain the behavior behind those metrics. This is where behavior analytics tools like…
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How to Use Heatmaps to Improve Activation Rate in SaaS Onboarding
Heatmaps can improve activation rate when you use them to diagnose friction in onboarding, not just to spot clicks. The winning workflow is to isolate new users, review heatmaps alongside session replay and funnels, rank issues by likely activation impact, then validate changes against the activation milestone with a user behavior analytics platform like FullSession.…
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Introducing Lift AI: Stop Guessing What to Fix Next
Every product team has the same dirty secret: they collect more behavioral data than they can act on. Session replays pile up unwatched. Heatmaps confirm what everyone already suspected. Funnels show where users drop off, but not why, and definitely not what to do about it. The real bottleneck was never data collection. It’s prioritization.…
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How to set up heatmaps for single-page applications (SPAs): route changes, view identity, and validation
Quick Takeaway To set up heatmaps for a single-page app (SPA), you need a consistent view identity (routes and key UI states), a reliable navigation signal (router events or History API changes), and a validation loop to confirm views are bucketed correctly. Without that, multiple screens merge, and heatmaps mislead debugging and MTTR work. If…
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How to Quantify Revenue Loss From Friction Heatmaps
You can spot friction in seconds on a heatmap.The harder part is proving what that friction is worth in lost revenue. Teams often see the same thing: users clicking where they should not, getting stuck in forms, or dropping off right before conversion. The issue is not identifying the friction. The issue is translating that…
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How to Use Session Replay to Diagnose Insurance Claim Form Drop-Off (and Validate Fixes Safely)
To reduce insurance claim form drop-off, pair funnel metrics with session replay: use the funnel to isolate the exact step where claimants abandon, then watch governed replays to classify friction (UX confusion, upload failures, errors, verification loops). Fix the highest-impact issues first, then validate safely with pre/post comparisons and guardrail segments.
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How Session Replay Helps You Fix Appointment Booking Issues
Session replay helps explain why users abandon appointment booking flows by revealing friction points such as dead clicks, confusing steps, form fatigue, and mobile usability issues. This blog shows how to identify those blockers and prioritize fixes that improve booking conversions.
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Integrating Session Replay With Website Optimization Platforms: Setups, Tagging, and Validation (for Ecommerce CRO)
Yes, you can integrate session replay tools with website optimization platforms. The reliable setups either use a native suite or pass experiment and variant IDs into replay as session metadata. The key is validation: confirm exposure, assignment, and sampling so “sessions by variant” comparisons reflect real user journeys, especially on checkout.
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How to Choose Session Replay Software for Web Performance Analysis (Performance-First Framework)
Choose session replay for web performance analysis with a performance-first framework: set an overhead budget (CWV, long tasks, main-thread time, payload), require tight RUM/APM plus console and network correlation, shortlist 2–3 tools with a scorecard, then run a 1-week pilot to prove faster reproduction and lower MTTR without performance regressions.









