Inspectlet
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Heatmap.com
Inspectlet vs Heatmap.com: Which Is Right for You?
Inspectlet and Heatmap.com both offer heatmaps and session recordings — but they're solving different problems for different teams.
Inspectlet is a general-purpose behavior analytics tool built for marketers and agencies who want visual data across any type of website, with A/B testing and error logging as added depth.
Heatmap.com is an ecommerce-native analytics platform with a single defining differentiator: it ties every click, scroll, and session directly to revenue. Rather than showing you where users interacted, it shows you which interactions drove purchases — and which didn't.
About
Inspectlet
Inspectlet is a session recording and analytics platform built for teams that want to understand exactly how visitors interact with their website — every mouse movement, scroll, click, and keypress captured and replayed in full.
It's primarily used by SMB marketers, freelancers, and agency teams managing multiple client sites who want visual behavior data without requiring developer involvement.
Teams choose Inspectlet for its eye-tracking heatmaps that simulate gaze patterns from mouse movement; its built-in A/B and multivariate testing; its JavaScript error logging that ties bugs to specific session recordings; its support for dynamic, SPA, and AJAX-based sites; and a free tier that includes core features at 1,000 sessions per month.
About
Heatmap.com
Heatmap.com is a revenue-attributed behavioral analytics platform built specifically for direct-to-consumer ecommerce brands on Shopify, BigCommerce, and WooCommerce — built on the premise that optimizing for clicks without knowing which clicks drive revenue is a fundamental misallocation of CRO effort.
It's primarily used by DTC brand founders, ecommerce growth teams, and Shopify merchants who want to move beyond engagement metrics and understand which specific page elements — hero images, add-to-cart buttons, trust badges, product descriptions — are directly responsible for purchases.
Teams choose Heatmap.com for its element-level revenue attribution that connects every on-page interaction to downstream purchase data; its AI-generated site improvement recommendations based on revenue-per-session signals; its one-click native integrations with major ecommerce platforms; and its session recordings that can be filtered by buyer vs. non-buyer behavior to surface what actually drives conversions.
Feature | Inspectlet | Heatmap.com | Lucky Orange |
|---|---|---|---|
Heatmaps | Yes | Yes | Yes |
Session Recordings | Yes | Yes | Yes |
A/B Testing | Yes | No | No |
Funnel Analysis | Yes | Yes | Yes |
Surveys & Feedback | No | Yes | Yes |
Mobile Analytics | Limited | Limited | Yes |
AI-Powered Insights | No | Yes | Yes |
Revenue Attribution | No | Yes | No |
Error Tracking | Yes | No | No |
Data Warehouse Export | No | No | Limited |
Free Plan | Yes | No | Yes |
Manual Review Required | High | Medium | Low |
Choose Inspectlet if you need session replay, heatmaps, A/B testing, and JavaScript error detection in a single lightweight tool — without requiring developer support. Strong fit for SMB teams, freelancers, and agencies managing multiple sites. Free tier at 1,000 sessions/mo; paid from $39/mo. Avoid it if you need feedback surveys, a site-wide friction score, or more than three heatmap types.
Choose Heatmap.com if you run a DTC ecommerce brand and want to see which page elements drive revenue, not just engagement. Purpose-built for Shopify, BigCommerce, and WooCommerce teams optimizing for revenue per session. No free tier — 14-day full-access trial, custom pricing via sales. Avoid it if you need general-purpose analytics across non-ecommerce sites, built-in A/B testing, or a published entry-level price point.
What if you could ask your data questions instead of reading dashboards?
Inspectlet tells you what happened in a session. Heatmap.com tells you what drove revenue. Both still require your team to form the hypothesis, dig into the data, and interpret what they find.
Lucky Orange Discovery AI takes a different approach entirely. You ask a question in plain language — about friction, about behavior patterns, about what separates converting visitors from bouncing ones — and Discovery AI analyzes your session data to give you a structured answer with supporting evidence and a recommended next step.
Ask questions like:
What are users doing immediately before they abandon the checkout?
Which product page elements do buyers interact with that browsers skip?
Where does the biggest drop-off happen for visitors coming from paid search?
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