Best Analytics and Heatmap Tools for Shopify in 2026

01

Hotjar

Freemium

See what visitors actually do on your store with heatmaps and recordings

Hotjar is the most widely recognised tool in this category and the easiest starting point for operators who have never used behavioural analytics before. The heatmap and session recording UI is clean, the free plan provides a usable sample of recordings, and the basic funnel analysis covers the main conversion drop-off points. Its limitations show at higher traffic volumes or when you need to connect click data to revenue outcomes.

• check_circleClick and Scroll Heatmaps. Aggregate click, move, and scroll data from real visitor sessions into a visual layer over any page. Identifies which elements are attracting interaction and which are being ignored.
• check_circleSession Recordings. Watch individual visitor sessions as video replays. Filter by device type, traffic source, or specific pages to focus on sessions that include rage clicks, dropped forms, or checkout exits.

02

Lucky Orange

Freemium

Heatmaps, session recordings, and live chat in one conversion toolkit

Lucky Orange includes heatmaps, session recordings, conversion funnels, live chat, and visitor profiles in a single plan at a price lower than Hotjar at comparable recording volumes. The funnel builder is more actionable than Hotjar for identifying drop-off points across the product page and checkout flow. Worth evaluating as a direct Hotjar replacement if recording volume limits are the main frustration.

• check_circleHeatmaps and Click Maps. Visual aggregation of click, scroll, and cursor movement data. Highlights which page elements drive engagement and which are overlooked, across desktop and mobile views separately.
• check_circleSession Recordings. Video replays of individual visitor sessions with rage-click detection and form analytics. Filter recordings by device, source, or page to focus on high-value sessions.

03

Polar Analytics

Paid

Shopify DTC analytics with blended ROAS and contribution margin in one view

Polar Analytics sits between a BI platform and a behavioural analytics tool. It pulls Shopify orders, ad spend, email revenue, and subscription data into a single dashboard and adds session-level attribution to complete the picture. For operators spending meaningfully on paid ads and wanting to understand which channels drive high-LTV customers, not just clicks, Polar Analytics provides the cross-channel view that heatmap tools alone cannot.

• check_circleBlended ROAS Dashboard. Aggregates ad spend from Facebook, Google, and TikTok alongside Shopify revenue into a single blended ROAS view. Updated daily without manual data pulls or spreadsheet reconciliation.
• check_circleContribution Margin Tracking. Applies COGS and variable cost data to calculate true contribution margin per channel and campaign. Identifies which acquisition sources are actually profitable after product costs.

04

Glew.io

Paid

E-commerce BI and cohort analysis for data-driven operators

Glew.io is a business intelligence platform built specifically for e-commerce. It consolidates Shopify, Amazon, Klaviyo, Facebook Ads, and Google Ads data into pre-built dashboards covering customer cohorts, product performance, and channel attribution. Less focused on heatmaps and session-level behaviour than the other tools here, but the most complete view of business performance for operators managing multiple revenue channels.

• check_circleCustomer Cohort Analysis. Groups customers by acquisition date, channel, or product first purchased and tracks their repeat purchase behaviour over time. Identifies which acquisition sources produce the highest lifetime value.
• check_circleProduct Performance Reporting. Breaks down revenue, margin, return rate, and repeat purchase rate by SKU, product category, and variant. Surfaces which products are driving LTV versus one-time buyers.

05

Google Analytics 4

Free

Free traffic and conversion analytics for every Shopify store

Google Analytics 4 is free, integrates directly with Google Ads for closed-loop attribution, and provides funnel analysis and event tracking that covers most of what smaller stores need. The GA4 interface requires a steeper learning curve than purpose-built e-commerce analytics tools, and it does not include heatmaps or session recordings. Use it as a baseline alongside a dedicated heatmap tool rather than as a replacement.

• check_circleEvent-Based Tracking. Tracks every user interaction as an event rather than a pageview. Flexible data model that can capture product views, add-to-cart events, checkout steps, and custom interactions.
• check_circleE-Commerce Revenue Tracking. Reports on transactions, revenue, product performance, and checkout funnel drop-off when correctly configured. Requires careful Shopify setup to achieve accurate data.