The Best Shopify Session Replay Apps in 2026

Every session replay tool records the same thing: a reconstruction of what a visitor did on your storefront. That part has been solved for a decade. What separates them on Shopify is almost never the recording — it is what happens in the forty minutes after you press play, and whether the tool gives you anything to do with what you saw.

Disclosure: we make DynoWeb, one of the eleven. It is placed where it belongs for the job it does, and the four criteria below were not written to favour it. The other ten are described by what they are good at, including where they are the better buy.

One more thing you will notice is missing: we do not quote competitor prices. Plans change faster than any round-up gets updated, and a stale price presented as current is worse than no price. Every entry links to the vendor's own pricing page instead. The single exception is Microsoft Clarity, because free is its entire positioning and Microsoft states it plainly.

Why watch sessions at all#

Here is a number from a store we pulled a month of data from — a US furniture retailer on Shopify, 2,877 visitors between 2026-08-10 and 2026-09-09.

783times the search button was shown

Source: DynoWeb — one US furniture store on Shopify, 2,877 visitors, 2026-08-10 to 2026-09-09

That is the case for session replay in one number. Analytics tells you the conversion rate fell. Replay tells you that 783 people looked at your search button and one of them trusted it.

The same month, on the same store, two more controls told the same story.

• Product gallery arrows0.9%

  seen 333 times, clicked 3

• Search button0.1%

  seen 783 times, clicked 1

Source: DynoWeb — one US furniture store on Shopify, home page, 2026-08-10 to 2026-09-09

Furniture is a category where people want to see a piece from several angles before deciding anything. Almost nobody was doing that, and the store had no way of knowing.

Four things that matter more than the feature list#

Every tool below records sessions. These are the axes they genuinely differ on.

1. Does it understand a store, or a website? A general web analytics tool sees /products/oak-dining-table as a URL. A commerce-native one sees a product, with variants, a price, an add-to-cart and an order value behind it. That difference decides whether you can ask "which product pages lose the most revenue" or only "which URLs have the highest exit rate". If your storefront is the business, this is the axis that matters most. If you run a marketing site, an app and a store together, it inverts — a Shopify-shaped data model becomes dead weight.

2. Sampling. Some tools record every session; others sample, or cap by plan, or bias deliberately toward sessions that look frustrated. Biased capture is correct for diagnosis and wrong for measuring how common something is. Know which one you have before you quote a frequency from it.

3. What happens after you watch. This is where the category actually splits. Most tools end at observation: you watched the session, now go and brief a developer. A few carry the finding into a change. Neither is better in the abstract — if you already have a developer or an agency, clean observation may be all you need, and paying for fix tooling you will not use is waste.

4. Whether anyone will actually do it. Session replay has the worst ratio of installs to sustained use in this category. Most merchants install a tool, watch fifteen recordings, nod, and never open it again. A tool that surfaces the twelve sessions worth watching beats a tool that gives you nine thousand and a search box — not because it records better, but because it gets used in month three.

The eleven#

DynoWeb — for Shopify stores that want the fix, not just the footage#

Ours. Commerce-native: it reads products, variants, cart and order value, and every finding it surfaces comes attached to a change you can preview and apply, with the revenue delta measured afterwards. Frustration signals — rage clicks, dead taps, scroll stalls — are ranked rather than listed, which is the answer to criterion 4.

Honest limits: no native mobile app coverage at all, no on-site surveys, and it only works on Shopify. See pricing and session replay.

Microsoft Clarity — the correct starting point if you have no budget#

Free, unlimited, well built, backed by Microsoft. If you are running nothing today, Clarity is a better first move than any paid tool on this list, by a wide margin. It is also the right answer for high-traffic sites where session caps on paid tools become the deciding factor, and for behaviour analytics across sites that are not Shopify.

Where it stops: it is general web analytics, not commerce analytics, and it gives you observation with no opinion about what to do next. Teams already fluent in CRO who will do their own analysis lose the least by using it. We wrote up when leaving Clarity is actually justified — the honest answer is that most merchants asking do not have a Clarity problem.

Hotjar — general web behaviour analytics, and genuinely good at qualitative#

The category's best-known name, now owned by Contentsquare. It is the better buy for companies running several properties — marketing site, app, docs — on one account, and for teams doing real qualitative research where the surveys and feedback widgets are the point rather than an add-on. Non-commerce products are squarely its home turf.

Against a Shopify store specifically, the trade is the one in criterion 1: it sees pages, not products. Full comparison.

Lucky Orange — the broad toolkit with a long Shopify history#

Session tooling with one of the longest-standing Shopify presences in the category, bundled with live chat. If you want behaviour analytics and chat from a single vendor and a single install, that is a real advantage. Its form analytics are a genuine strength — if your biggest problem is a long, complex form, this is the tool that will tell you most about it.

Best for merchants who prefer a broad toolkit over a focused one. Full comparison.

Mida — the closest Shopify-native alternative#

Shopify-native session replay and heatmaps, and the most direct comparison to us on this list. Mida has on-site surveys and we do not, which matters if you want to ask visitors why rather than infer it. Its entry paid plan is cheaper than ours. It also exports raw session data via CSV and API, so if you want to analyse elsewhere, it is the better fit.

If you already have a developer or an agency to ship fixes and only need clean observation, Mida is a good buy. Full comparison.

Mouseflow — friction detection, and every session captured#

Behaviour analytics built around friction scoring. Two things make it the right answer for specific stores: its form analytics are genuinely deeper than ours, and it captures every session rather than sampling — which matters a lot if you have been burned by a recording that was not kept. Unlimited users on every plan, and European data residency if you need it.

Best for sites where the form is the conversion, and for multi-site or non-Shopify estates. Full comparison.

FullStory — enterprise digital experience analytics#

Autocapture is the thing here and it is genuinely hard to replicate: FullStory records enough that you can ask new questions of old data, months later, without having instrumented for them in advance. That is a different product category from the rest of this list.

The right buy for product organisations, for companies that must analyse a native app and a website together, and for teams with analysts who will actually use the segmentation and cohort tooling. Also the answer when governance, SSO and procurement need to be solved problems. Full comparison.

Crazy Egg — click analysis at unusual granularity#

The tool that arguably invented this category. Its Confetti and Overlay views are deeper click analysis than most of the field offers, and unlimited domains on one account is a real advantage DynoWeb does not have. Unlimited seats on every plan, plus page-level A/B testing, surveys and popups in one subscription rather than three.

Best for anyone running several sites, and for non-Shopify storefronts. Full comparison.

Plerdy — the widest bundle#

An all-in-one website optimisation toolkit: CRO plus SEO auditing in a single subscription, which is a genuinely wider bundle than ours. It connects rage clicks back to the ad channel that paid for the visit — useful if you are accountable for paid spend. Works across Shopify, WordPress, Wix, Drupal and Joomla, which makes it a sensible agency tool.

Best for budget-conscious stores consolidating several tools into one. Full comparison.

Contentsquare — enterprise experience intelligence#

For organisations where the storefront is one channel among many. It analyses web, app, social and support as a single journey, supports a formal voice-of-customer programme, and handles procurement and governance at enterprise grade. It also needs a dedicated digital experience or analytics team to operate — that is a requirement, not a criticism.

If you are a single Shopify store, this is not the tool, and its own sales process will usually tell you so. Full comparison.

Smartlook — do not start here#

Included so you do not waste an afternoon on it. Smartlook is closed to new customers; existing accounts run for as long as support does. If your priority is a native mobile app, the honest destination is Splunk's Digital Experience Analytics or another app-capable tool — DynoWeb does not cover apps at all, and neither do most of the web-focused tools on this list. Smartlook also did crash reporting alongside behaviour, which almost nothing here replaces. Full comparison.

Side by side#

Choosing in sixty seconds#

• Running nothing today? Install Clarity this afternoon. Come back to this list when you know what you cannot see.
• Storefront is the whole business? The commerce-native options — DynoWeb or Mida — will answer questions the general tools structurally cannot.
• Already have a developer or agency? Buy observation, not fix tooling. Mida or Clarity.
• Forms are your conversion? Mouseflow, then Lucky Orange.
• Several sites, or not Shopify at all? Crazy Egg or Plerdy. A Shopify data model is dead weight to you.
• Native app in scope? Nothing on this list covers it well. Look at app-specific tooling.

What no session replay tool will do for you#

It will not tell you why. A replay shows a shopper tapping a review popup four times and getting nothing — it does not tell you whether they wanted to expand the review, open a photo, or dismiss it. That is the gap surveys exist to fill, and it is a real one. On the store above, we could see the rage clicks on the reviews popup and could not see the intent behind them.

It also will not get watched. This is the honest failure mode of the whole category, and the reason criterion 4 is on the list at all: the tool that wins is the one still open in month three.

Where DynoWeb fits, stated plainly: it is for Shopify stores whose bottleneck is not seeing the problem but shipping the fix. If your bottleneck is the other one — you have people who can ship, and you just need clean data — several tools above do that well and one of them is free. See what DynoWeb finds, or what it costs.