Hotjar alternative (2026): Observe vs Test on Shopify
Hotjar is a heatmap, session recording, and on-site survey tool, now part of Contentsquare, with no A/B testing engine at all. Omniconvert Explore is built for the eCommerce store: native Shopify integration, A/B and multivariate experiments on product, cart, and checkout, and revenue-per-visitor measurement. Hotjar shows what to fix; Explore runs the tests that fix it. Often complementary.
- Hotjar is a heatmap, session recording, and on-site survey tool now part of Contentsquare, with a generous free plan up to 200,000 sessions per month.
- Hotjar has no A/B testing engine at all: no multivariate, no server-side, and no visual editor for shipping variants.
- Hotjar has medium Shopify integration and cannot run experiments on product pages, cart flows, or Shopify checkout.
- Omniconvert Explore runs A/B, multivariate, and server-side experiments on Shopify revenue surfaces and measures results in revenue per visitor.
- Decide by job: pick Hotjar for behavioural diagnostics and qualitative feedback, pick Explore for controlled experiments that move orders, or run both.
Teams comparing Hotjar vs Omniconvert Explore are usually deciding how to move from watching users struggle to actually testing a fix on a Shopify store. Hotjar is a behavioural analytics tool: heatmaps, scroll maps, session recordings, and on-site surveys, now inside the Contentsquare suite. It has no A/B testing capability at all. Omniconvert Explore runs A/B, multivariate, and personalization tests on product, cart, and checkout and reports the outcome in revenue per visitor. This page covers what each does well, where Hotjar hits its ceiling for eCommerce, and when to pick one or use both.
What is Hotjar, and what does it actually do?
Hotjar is a heatmap, session recording, and on-site survey tool now part of Contentsquare. It shows where users click, scroll, and hesitate on a page, and captures qualitative feedback through polls and surveys. It is a behavioural analytics tool, not an experimentation platform, and its free plan is one of the most generous in the category. [Hotjar, 2026]
Hotjar is the most widely recognised heatmap and session recording tool on the market, with a 4.3 out of 5 rating on G2 across 337 reviews. [G2, 2026] It is quick to install, accessible to non-technical marketing and product teams, and its free plan covers up to 200,000 sessions per month. [Hotjar, 2026]
Following the Contentsquare acquisition, Hotjar now sits inside a larger experience analytics suite. That gives it a longer roadmap on the analytics side, but the core product is still built around observing user behaviour and collecting on-site feedback.
The question this page answers is narrower: is a behaviour observation tool with polls and recordings the same job as running conversion experiments on a Shopify store? And if not, where is the gap?
A session recording is a replay of an individual visit that reconstructs mouse movement, clicks, and scrolling behaviour. Hotjar pairs recordings with click and scroll heatmaps and on-site surveys to help teams diagnose why visitors drop off. It is a diagnostic instrument, distinct from a controlled experiment that measures a revenue outcome.
Where Hotjar is genuinely strong
- Category-leading heatmaps and recordings: the visual layer non-technical teams read most easily.
- On-site surveys and polls included: qualitative feedback captured on the same page as the behaviour data.
- Generous free plan: up to 200,000 sessions per month at no cost, with paid tiers on top.
- Contentsquare backing: broader experience analytics ecosystem for enterprise buyers.
Where Hotjar hits its ceiling for an eCommerce store
- No A/B testing at all: Hotjar shows friction but cannot test a variant against it.
- No multivariate or server-side testing: both are outside the product scope entirely.
- No visual editor: nothing to author or ship an experiment from.
- Medium Shopify integration: installs via snippet, but does not run experiments on product, cart, or checkout templates.
- No revenue-based segmentation: cannot slice results by AOV, repeat customers, or CVO cohorts.
None of this makes Hotjar a weak product. It makes it a behavioural analytics tool. The friction shows up specifically when the site under test is a Shopify store and the team needs to move from observing a problem to testing a fix that lifts revenue.
What Hotjar cannot do for an eCommerce store
Hotjar is a behaviour observation tool with no experimentation engine. It will show a team that visitors abandon the checkout, but it cannot test a different checkout to find out what fixes it. A store using Hotjar for eCommerce CRO can diagnose problems visually and then needs a testing platform to run the revenue-focused experiments that resolve them.
Omniconvert Explore is built for the layer Hotjar leaves open. Hotjar can show a team where users hesitate on a product page or where they drop out of a checkout step, but a store does not just need to see the friction; it needs to test a fix on product, cart, and checkout and read the result in revenue per visitor. Those are not the same task.
Most behavioural analytics tools are built around a generic web page and a generic engagement signal. They optimize how a team sees user behaviour. They are not built around the surfaces where eCommerce revenue is actually won or lost, or around the metric a store runs on.
eCommerce CRO is the practice of running controlled experiments on the revenue surfaces of an online store, product pages, cart, and checkout, and measuring the result in revenue per visitor and order rate rather than generic conversion rate. Explore is defined as an eCommerce conversion rate optimization platform for product, cart, and checkout experiments, native to Shopify and priced for store traffic.
What Hotjar cannot tell an eCommerce team
- Did the fix move revenue. Whether a change inferred from a heatmap or a recording actually raised revenue per visitor and order rate, not just engagement on a page.
- Which surface to test first. Which pages in the funnel (product, cart, checkout) carry the highest revenue impact if tested next.
- How it behaves in checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without engineering glue work.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just first-session visitors.
Across the 7,000+ eCommerce websites in Omniconvert's CROBenchmark Report 2026, checkout friction is the single largest source of lost revenue for Shopify stores, yet the diagnostic tools that surface it, heatmaps, session recordings, and on-site surveys, rarely feed a controlled experiment that repairs it. [CROBenchmark Report 2026, Omniconvert]
Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor. That is the difference between a behavioural analytics tool and a platform built for store revenue.
Hotjar vs Explore: the capability comparison
Side by side, Hotjar is deeper on visual diagnostics and qualitative feedback, while Explore is the experimentation platform Hotjar does not try to be. Hotjar wins on heatmaps, recordings, and on-site surveys at a free-plan entry point. Explore adds A/B, multivariate, and server-side testing, native Shopify experiments, and revenue-per-visitor measurement on product, cart, and checkout.
| Capability | Hotjar | Omniconvert Explore |
|---|---|---|
| Primary function | Heatmaps, session recordings, and on-site surveys | eCommerce CRO on product, cart, and checkout pages |
| A/B testing | No not part of the product | Yes visual editor plus code editor |
| Multivariate testing | No | Yes |
| Server-side testing | No | Yes |
| Visual editor | No | Yes no developer required |
| On-site surveys and overlays | Partial on-site surveys and polls, no overlays | Yes surveys and overlays built in |
| Shopify integration | Medium snippet install, no native product or checkout experiments | Yes native |
| eCommerce focus | Medium general product and marketing sites | High built for store revenue workflows |
| Pricing model | Session-based, free plan up to 200,000 sessions per month, free trial on paid tiers | Session-based, built for store traffic, free trial |
| Best for | Product and marketing teams wanting visual behaviour data and on-site feedback | Shopify and eCommerce teams optimizing product, cart, and checkout for revenue |
AliveCor used Explore to run a structured A/B testing program and achieved +21% conversion rate, +5% revenue per visitor, and 94% statistical relevance across their experiments. [Omniconvert, AliveCor case study]
Competitor pricing and feature availability reflect publicly listed information as of 2026 and can change. Explore uses session-based pricing; see the Omniconvert pricing page for current plans.
Get the full CROBenchmark data behind these stats: 7,000+ websites, 15+ industries, 248+ audit criteria, 100+ CRO experts. See exactly where eCommerce growth teams are losing margin in 2026.
Get the CROBenchmark ReportFrequently Asked Questions
Should you choose Explore over Hotjar?
If your important experiments run on a Shopify store, choose Explore: it tests product, cart, and checkout natively, supports multivariate and server-side, and measures revenue per visitor rather than clicks or scroll depth. If you want visual behaviour data and on-site feedback to inform what to test next, Hotjar is a solid diagnostic layer alongside it. Most eCommerce teams run Hotjar for insight and a dedicated CRO platform for the experiment that actually moves orders.
Hotjar earns its place with heatmaps, session recordings, and on-site surveys. It gives non-technical teams a fast, visual and qualitative read on where users hesitate, with a genuinely generous free plan, and it remains a useful diagnostic tool inside the Contentsquare suite.
The question for a store is narrower: are the experiments that move revenue running natively on the product, cart, and checkout pages, and are they measured in revenue per visitor. That is the surface Explore is built for, and it is a job Hotjar was not designed to do.
Stop guessing.
Start testing what moves revenue.
Explore runs A/B, multivariate, and personalization experiments on your product pages, cart, and checkout, then measures the outcome in revenue per visitor, not just clicks.