Best Hotjar Alternatives for Ecommerce in 2026

Quick Answer: Which Hotjar Alternative Should Ecommerce Teams Choose?

ATFE editorial judgment: there is no useful “best Hotjar alternative” without first defining what Hotjar job you are replacing. A Shopify growth marketer trying to find PDP friction should not use the same selection criteria as a product engineering team investigating cross-session activation or a regulated ecommerce business that needs tighter control over where analytics data is stored.

First, Decide Whether You Actually Need to Leave Hotjar’s Successor

Contentsquare acquired Hotjar in 2021, and its current support documentation says Hotjar Ltd. merged into the Contentsquare Group as of July 1, 2025. Contentsquare now positions its platform as the place where Hotjar’s heatmaps, recordings, and surveys continue to live. (Contentsquare: Hotjar plans and pricing transition)

For new buyers, the decision is straightforward: you cannot simply create a new legacy Hotjar account. Contentsquare states that new users should sign up for Contentsquare instead. (Contentsquare: Official Hotjar page)

For existing Hotjar customers, the transition can be more operationally important. Contentsquare’s migration FAQ describes a flow in which notified Hotjar customers receive a Contentsquare account, can explore both platforms for 30 days, and then move to Contentsquare Growth unless the account owner opts out before the stated deadline. In that migration flow, the legacy Hotjar account becomes read-only for 90 days before its data is deleted. (Contentsquare: Moving from Hotjar to Contentsquare FAQs)

Those terms should not be assumed to apply identically to every account without checking the notice and contract attached to that account. But they create an important decision point: a migration window is a good time to test whether you still want the same analytics model.

If your team was already happy with Hotjar’s basic workflow, moving into Contentsquare may be lower risk than rebuilding analytics somewhere else. Contentsquare’s current Free Experience Analytics plan includes up to 200,000 monthly sessions, heatmaps, funnels, session replay, error/performance monitoring, and basic surveys. Its pricing page currently says the Free plan analyzes all sessions for core analytics, while Session Replay on Free captures 5% of sessions up to a maximum of 10,000 replays per month. (Contentsquare pricing)

That is not a reason to stay automatically. It is a reason to compare the cost of switching against the actual limitation you are trying to remove.

What an Ecommerce Behavior-Analytics Tool Must Help You Decide

A behavior-analytics platform is useful only if it changes a store decision.

For ecommerce, the most valuable questions are usually not abstract UX questions such as “Where do users click?” They are operational questions:

• Are shoppers seeing the information that reduces purchase anxiety on the product detail page?
• Do collection filters help shoppers narrow the catalog, or do they create dead ends?
• Is a sticky add-to-cart interface helping mobile shoppers or covering important content?
• Are shoppers abandoning the cart because of price, shipping expectations, technical friction, or a broken interaction?
• Is a campaign landing page attracting attention to the offer or distracting people with secondary elements?
• Is a conversion drop concentrated in one device, browser, traffic source, market, or returning-customer segment?
• Do customer complaints correspond to observable friction in the journey?
• Can the team move from a replay to a measurable hypothesis without manually stitching together three other systems?

This is why the seven options in this guide should not be compared as if they were identical heatmap products.

Comparison Table: Hotjar Alternatives for Ecommerce

The table is a decision map, not a score. The same feature can have very different value depending on who must use it and what action follows.

1. Microsoft Clarity: Best Starting Point When Cost Is the Main Reason to Leave

Microsoft currently describes Clarity as free forever with no traffic limit. Its core product includes session recordings, click/scroll/area heatmaps, AI-assisted summaries, segmentation, and integrations. (Microsoft Clarity)

For ecommerce teams, Clarity has become more relevant because Microsoft’s current heatmap product includes Shopify conversion heatmaps, allowing merchants to view which elements contributed to purchase conversions in supported Shopify use cases. (Microsoft Clarity heatmaps)

The obvious attraction is cost. A small or midsize store can collect behavior data without immediately turning traffic growth into a larger analytics bill.

But “free” should not be confused with “equivalent to every Hotjar workflow.”

Clarity’s current retention policy says standard playback data is retained for 30 days, labeled or favorited sessions for nine months, and heatmap/click data for nine months. (Microsoft Clarity data retention)

That can be enough for an active CRO process, but it changes how the team must work. If a seasonal merchandising issue appears in November and nobody saved the relevant sessions, the raw replays may no longer be available several months later.

Privacy setup also deserves deliberate review. Microsoft says Clarity masks sensitive content by default, always masks input boxes, and offers Strict, Balanced, and Relaxed masking modes plus element-level controls. (Microsoft Clarity masking)

Choose Microsoft Clarity when

Choose it when your team mainly needs to observe behavior on landing pages, collections, PDPs, carts, and other storefront pages; cost sensitivity is high; and another system already handles your quantitative analytics, experimentation, or customer feedback.

The ATFE Microsoft Clarity profile is useful if you want to evaluate Clarity specifically rather than compare the broader replacement landscape.

Do not choose Clarity alone when

Do not assume it will replace an entire product-research or experimentation stack. If your current Hotjar workflow depends heavily on native surveys, complex product analytics, advanced experimentation governance, or long replay history, define those requirements explicitly before switching.

ATFE editorial judgment: Clarity is the easiest first test for merchants asking, “Can we get most of the behavior visibility we actually use without paying for a larger experience platform?” It is not automatically the best answer for teams whose real need is analytics architecture rather than replay.

2. PostHog: Best When You Need Product Analytics, Replay and Experiments in the Same Data Model

PostHog is a different kind of Hotjar alternative because session replay is only one part of the platform.

Its current product analytics offering includes autocaptured pageviews, clicks, and form submissions, plus trends, funnels, retention, paths, and SQL queries. PostHog also connects analytics points to underlying session recordings, so a team can move from a funnel change to the sessions behind it. (PostHog Product Analytics)

PostHog’s current public pricing is usage-based by product. Its website lists a free tier of 1 million product-analytics events per month and 5,000 session recordings per month. Above the replay free tier, PostHog currently lists a starting usage price of $0.005 per recording, decreasing with volume. (PostHog pricing overview)

This model matters because it creates a different cost meter from a traditional session allowance or pageview plan. A team should model both event volume and replay volume rather than assuming “monthly visitors” determines the invoice.

For an ecommerce team with engineers or technically comfortable growth staff, the benefit is architectural: funnels, events, replay, feature flags, experiments, surveys, and other product tooling can live in one ecosystem.

Choose PostHog when

Choose it when your store or commerce product behaves more like a software product: logged-in accounts, subscriptions, customer portals, complex onboarding, feature releases, experiments, and events that matter across multiple sessions.

It is especially useful when the question is not simply “Why did someone abandon this PDP?” but “Which behavior predicts activation or repeat purchase, and can we connect that pattern to experiments and session evidence?”

Do not choose PostHog when

Do not choose it merely because it includes replay. A small marketing team that wants to watch landing-page sessions and inspect click maps may be buying into a more technical operating model than it needs.

Implementation quality also matters. Autocapture reduces setup, but a serious ecommerce event model still requires decisions about identity, event naming, properties, consent, revenue data, and which system is authoritative.

ATFE editorial judgment: PostHog is strongest when the Hotjar replacement decision is really a decision to consolidate behavior analytics into a broader product-data stack.

3. Fullstory: Best for Deep Autocapture and Cross-Team Experience Investigation

Fullstory’s current platform combines session replay with product analytics, funnels, dashboards, segments, journey analysis, heatmaps, and behavioral signals. Its product pages emphasize tagless/autocaptured interaction data and the ability to move from aggregate analysis to the sessions behind a metric. (Fullstory Product Analytics) Fullstory also currently offers Guides and Surveys for in-product guidance and contextual feedback, with survey responses connected to behavioral context. (Fullstory Guides and Surveys)

Fullstory’s replay product also includes configurable privacy controls. Fullstory states that sensitive fields such as passwords and credit-card numbers are never captured, and teams can define additional exclusions and masking rules. (Fullstory Private by Default)

The product is not enterprise-only. Fullstory’s current Free plan includes 30,000 sessions per month, 10 user seats, 5,000 server-side events per month, and one year of session replay and product analytics retention. The free plan does not include every advanced feature, including certain dashboards, configurable form privacy, mobile apps, and StoryAI. (Fullstory Free plan)

For paid use, Fullstory states that business plans are customized rather than presenting one universal public paid price. (Fullstory session replay guide)

Choose Fullstory when

Choose it when several teams need the same evidence.

A support team might start with a customer complaint, a product manager might start with a funnel change, and a UX researcher might start with a friction pattern. Fullstory is designed so those paths can converge on the same behavioral data.

That is valuable for larger ecommerce businesses where the digital storefront is not just a marketing asset but a complex product owned by product, engineering, merchandising, support, and growth teams.

Do not choose Fullstory when

Do not assume the richer platform is worth its operational cost if the only recurring use case is “watch a few abandoned-cart sessions each week.”

Procurement can also be a limitation for teams that require transparent public pricing before evaluation. The free tier is published, but paid plan economics need to be modeled from a current quote and the exact session/feature requirements.

ATFE editorial judgment: Fullstory should be shortlisted when behavioral analytics needs to become shared infrastructure across teams, not merely a CRO utility.

4. Crazy Egg: Best for a Familiar CRO Workflow With Transparent Entry Pricing

Crazy Egg remains much closer to the classic heatmap-and-CRO model that many Hotjar users recognize.

Its current product pages include heatmaps, session recordings, surveys, conversion tracking, and A/B testing. Crazy Egg says sensitive fields such as passwords, credit-card numbers, and personal form entries are not captured, and it provides masking and IP-anonymization controls. (Crazy Egg heatmaps)

Its public pricing is unusually easy to model. At the time of this review, Crazy Egg lists a Starter plan at $29 per month when billed annually, including 5,000 tracked pageviews per month, five heatmap reports, 50 recordings per month, and unlimited surveys/responses. Its Standard plan is listed at $49 per month billed annually with 25,000 tracked pageviews and 200 recordings per month. A/B testing and other capabilities enter at higher tiers. (Crazy Egg pricing)

The important detail is the billing unit: tracked pageviews and recording allowances, not simply total site traffic.

A Shopify store can therefore estimate cost by asking how many pages and sessions it actually needs to observe. You may not need to track the whole storefront if the current CRO program is concentrated on ten PDP templates, a collection experience, the cart, and two paid-traffic landing pages.

Choose Crazy Egg when

Choose it when the team wants a straightforward marketing/CRO workflow: observe a page, identify a hypothesis, launch or support an A/B test, and monitor whether the change improved the target behavior.

It can be easier to explain internally than a developer-first product analytics suite.

Do not choose Crazy Egg when

Do not select it as a substitute for a deep event and identity architecture. If the business needs retention analysis, multi-session product behavior, complex user properties, warehouse integration, or product experimentation tied to a broad event model, the tool should be compared against PostHog or Fullstory on those specific requirements.

5. Matomo: Best When Data Ownership and Deployment Control Are Non-Negotiable

Matomo is the most structurally different option in this group because it can be used as a hosted cloud platform or deployed On-Premise.

Matomo Cloud currently includes Heatmaps & Session Recording in its relevant paid plans, while On-Premise users can purchase Heatmap & Session Recording as a premium plugin. Matomo’s pricing page also lists ecommerce tracking as part of the broader analytics feature set. (Matomo pricing)

For teams with strict privacy or infrastructure requirements, the deployment model can matter more than the heatmap UI. Matomo says On-Premise customers choose their own server and storage location, while its Cloud service handles hosting and operations. (Matomo heatmap software)

Retention differs substantially by deployment. Matomo’s current documentation says Heatmaps and Session Recordings are retained for three months in Matomo Cloud and can be kept indefinitely in self-hosted Matomo, subject to the customer’s own raw-data retention configuration. (Matomo heatmap/session retention)

Matomo also documents explicit consent controls for heatmaps and session recording and states that form fields and sensitive elements are masked before relevant data is transmitted. Its privacy documentation notes that heatmap/session-recording use can require prior consent under applicable ePrivacy rules, depending on jurisdiction and implementation. (Matomo data masking)

Choose Matomo when

Choose it when analytics governance is part of the purchasing decision: ownership, deployment location, self-hosting, consent behavior, data retention, and integration with an existing Matomo analytics implementation.

For some European or regulated ecommerce businesses, those constraints can outweigh the convenience of a simpler SaaS tool.

Do not choose Matomo when

Do not choose self-hosting merely because it sounds more private. On-Premise analytics transfers operational responsibility to your team: hosting, updates, security, storage, performance, backups, and plugin lifecycle all become part of the real cost.

A merchant that wants a five-minute setup and no infrastructure responsibility should compare Matomo Cloud rather than assuming the On-Premise path is automatically better.

6. FullSession: Best When the Team Wants Replay, Funnels and Feedback in One Review Loop

FullSession positions itself around a combined workflow: session replay, heatmaps, funnels, error information, and user feedback connected to the same journey.

Its current product pages say feedback responses can be linked directly to the session in which the response occurred, while its replay product supports masking fields, elements, or entire pages at capture and offers governance controls such as role-based permissions and SSO/SAML on applicable plans. (FullSession Feedback) (FullSession Session Replay)

FullSession also publishes self-serve pricing. Its current Free plan includes 1,000 monthly sessions, unlimited heatmaps, session replay, and basic funnel analysis. Its Growth plan currently starts at $49 per month for 10,000 sessions per month and lists four-month data retention along with replay, heatmaps, funnels, feedback, error reporting, custom events, and user attributes. (FullSession pricing)

FullSession markets an AI layer called Lift AI that ranks friction by predicted business impact. Those predicted-impact statements are vendor claims, not independent proof of conversion lift, and ecommerce teams should validate the prioritization against their own data before using it as an investment model. (FullSession)

Choose FullSession when

Choose it when your team wants to move quickly between three evidence types: quantitative funnel drop-off, qualitative session context, and direct customer feedback.

That is especially useful for an ecommerce optimization team that runs a weekly review and wants every friction issue attached to a reproducible session or funnel step.

Do not choose FullSession when

Do not select it based on predicted-lift marketing claims. The selection should stand on the underlying workflow even if you ignore the AI prediction layer.

Also verify that the integrations, retention period, governance controls, and traffic allowance you need are included in the actual plan under consideration.

7. Contentsquare: The Default Hotjar Successor, Not a Neutral Alternative

Contentsquare belongs in this guide because every Hotjar buyer now has to understand it. But calling it a normal “Hotjar alternative” is misleading.

Hotjar has been incorporated into the Contentsquare platform. Contentsquare’s current Free plan includes 200,000 monthly sessions for core Experience Analytics, one project, replays, heatmaps, funnels, error/performance monitoring, and basic surveys. (Contentsquare pricing)

Growth currently starts at $49 on the pricing page under the displayed annual-billing option, with plan allowances varying by selected session volume. Growth adds longer analytics data access, additional projects, zone-based heatmaps, journey analysis, impact quantification, and additional AI-assisted analysis. (Contentsquare pricing)

The free-plan headline needs one qualification: Contentsquare distinguishes between sessions analyzed for experience analytics and sessions captured for replay. Its pricing comparison currently lists Free replay capture at 5% of sessions, with a maximum of 10,000 monthly replay sessions. (Contentsquare pricing)

Stay with the Contentsquare path when

Stay when the migration removes your main Hotjar constraints, the team wants continuity, and there is no high-value workflow that another tool handles materially better.

A current Hotjar user should compare the cost of learning and implementing a new platform against the benefit of leaving. “We want an alternative” is not enough by itself.

The ATFE Contentsquare profile can be used as the product-level companion to this replacement guide.

Move away when

Move when the transition exposes a structural mismatch: the billing unit does not fit your traffic, your privacy/deployment policy requires something else, your product team needs a deeper event model, the organization wants a simpler free tool, or your CRO workflow depends on experimentation and operational features available more naturally elsewhere.

Pricing: Compare the Meter Before the Price

Behavior-analytics pricing is difficult to compare because vendors charge against different units.

A monthly price without its billing meter is almost meaningless.

This table is not a value ranking. It intentionally preserves each vendor’s native billing unit instead of pretending a “session,” “pageview,” “event,” and “recording” are the same thing.

Before buying, normalize the comparison against your store:

1. Monthly storefront sessions.
2. Monthly pageviews on the pages you actually need to observe.
3. Percentage of sessions you need recorded.
4. Number of domains or storefronts.
5. Required retention.
6. Number of analysts/users.
7. Required surveys or feedback volume.
8. Required product events.
9. Seasonal traffic peaks.
10. Whether experimentation or error monitoring is part of the same contract.

Privacy: “Masked by Default” Is Not the End of the Review

Every serious replay implementation needs a page-level privacy audit.

The named platforms each publish privacy or masking controls, but the controls and operating models differ: Microsoft documents Clarity masking; Fullstory documents Private by Default; Matomo documents data masking for Heatmaps and Session Recordings; FullSession documents capture-time masking; Crazy Egg documents recording element masking; and Contentsquare documents element masking rules.

The important question is not whether a vendor has a “privacy” page. It is whether your implementation prevents sensitive content from entering the analytics pipeline and whether consent behavior matches the jurisdictions where you operate.

For ecommerce, test at minimum:

• Login and account pages.
• Search boxes that might contain names, order IDs, or personal queries.
• Address and contact forms.
• Cart notes.
• Support widgets.
• Payment-adjacent interfaces.
• Personalized account content.
• URLs or query strings that may contain identifiers.
• Third-party embedded widgets.

Do not deliberately record payment credentials, passwords, or other sensitive values for “better insight.” If a useful analysis depends on seeing data that should be masked, redesign the event instrumentation instead.

The ATFE 14-Day Ecommerce Behavior-Analytics Replacement Test

Do not migrate because a comparison table looks attractive. Run the same controlled evaluation in each serious candidate.

The following protocol is an ATFE reader-run test, not a report of ATFE hands-on testing.

Test scope

Run the test for 14 days on a representative storefront or controlled production segment.

ATFE recommends choosing five hypotheses that span discovery, product evaluation, cart behavior, device differences, and customer feedback.

Hypothesis 1: PDP purchase information is not visible early enough

Question: Are shoppers reaching shipping, returns, reviews, sizing, compatibility, or trust information before abandoning the PDP?

Required evidence:

• PDP pageview or equivalent page group
• Scroll depth or heatmap
• Add-to-cart event
• Device type
• Session replay for selected failure sessions

Exclusions:

• Staff/test sessions
• Bot traffic
• PDPs with fewer than the minimum test sample
• Sessions where the page failed to load correctly

Required action: If a consistent pattern shows shoppers repeatedly searching or scrolling for the same information before exiting, create one layout/content hypothesis for an A/B test rather than redesigning the page from replay anecdotes alone.

Hypothesis 2: Collection navigation is creating choice friction

Question: Are filters, sorting, pagination, or collection navigation helping shoppers narrow the catalog?

Required evidence:

• Collection pageview
• Filter/sort interactions
• Product click-through
• Zero-result state where applicable
• Search usage
• Replay on sessions with repeated filter changes or dead clicks

Required action: If the issue is discoverability, test interface prominence. If the issue is irrelevant results, fix merchandising/search logic instead of changing button design.

Hypothesis 3: Cart abandonment contains observable interaction friction

Question: Is cart abandonment preceded by errors, repeated clicks, coupon confusion, unexpected shipping information, or navigation loops?

Required evidence:

• Add-to-cart
• Cart view
• Cart updates/removals
• Checkout initiation
• Error or frustration signals where the product supports them
• Session replay excluding sensitive fields

Required action: Separate technical failure from commercial hesitation. A broken quantity selector needs an engineering fix; repeated coupon attempts may require merchandising or messaging changes.

Hypothesis 4: Mobile shoppers encounter a materially different failure mode

Question: Is a conversion issue disproportionately concentrated on mobile because of viewport, sticky elements, navigation, or interaction behavior?

Required evidence:

• Device segmentation
• Mobile heatmap
• Mobile replay
• Add-to-cart and checkout-initiation rate by device
• Browser/OS where available

Required action: Require a device-specific fix only when the pattern is meaningfully concentrated on that device class.

Hypothesis 5: Customer feedback corresponds to visible behavior

Question: When shoppers say something is confusing, expensive, broken, or hard to find, can you connect the comment to a real journey?

Required evidence:

• Survey/feedback response where the candidate provides it, or feedback from your existing system
• Associated URL/journey
• Relevant replay where permitted
• Funnel outcome
• Traffic source or customer segment when useful

Required action: Prioritize feedback that is corroborated by observed behavior or repeated responses; do not let one vivid comment overrule broader evidence.

Minimum Evidence Thresholds for the 14-Day Test

These are ATFE editorial test assumptions, not statistically validated vendor thresholds.

For each hypothesis, aim for:

• At least 200 eligible sessions after exclusions, where traffic permits.
• At least 20 observed instances of the suspected failure pattern before treating it as recurring.
• At least two independent evidence types for a high-priority recommendation—for example, replay plus funnel drop-off, or feedback plus heatmap behavior.
• No purchase decision based solely on an AI-generated summary or vendor-generated predicted-lift figure.

If your store cannot reach those thresholds in 14 days, extend the observation window rather than lowering the standard until every anecdote looks important.

The goal is not statistical significance. The goal is to prevent a migration decision from being driven by three memorable recordings.

How to Score the Pilot Without Fake Precision

Use a simple pass/fail worksheet instead of a 100-point “best tool” score.

For each candidate, answer:

A candidate fails if one mandatory requirement is absent, even if it has more features overall.

Which Hotjar Alternative Fits Different Ecommerce Teams?

Small Shopify store with no dedicated analyst

Start with Microsoft Clarity or the Contentsquare Free plan.

The requirement is usually simple: identify where users struggle on key pages without creating an analytics administration job.

Do not pay for enterprise-level journey intelligence before the team has a repeatable weekly process for acting on basic behavior evidence.

DTC growth team running frequent experiments

Compare Crazy Egg, Contentsquare, PostHog, and your existing experimentation stack.

If you already run a dedicated testing platform, behavior analytics should help generate and diagnose hypotheses rather than duplicate the experimentation system. The existing ATFE Shopify A/B testing guide covers that decision separately.

Ecommerce product team with engineers

PostHog and Fullstory deserve deeper evaluation.

The relevant requirements are usually event architecture, funnels, identity, retention, debugging context, experiments, and the ability to connect individual sessions to broader product behavior.

Privacy-sensitive or self-hosting requirement

Evaluate Matomo before choosing purely on UX.

If self-hosting is mandatory, many mainstream Hotjar-style alternatives are disqualified before the feature comparison begins.

CRO team that wants behavior plus customer comments

Contentsquare and FullSession are natural starting points because feedback can sit close to behavioral context. Crazy Egg can also fit a more classic marketing workflow.

The deciding question is whether the team wants a broad experience platform, a focused UX workflow, or a traditional CRO toolkit.

When You Should Not Replace Your Current Setup

Do not switch because another tool has a longer feature list.

Do not switch because a free tier looks generous before you calculate retention, capture rate, seat requirements, and seasonal volume.

Do not switch because an AI summary produced an impressive sentence.

And do not switch merely because you found this article while researching alternatives.

Stay on the current path when:

• Your team already gets reliable answers from the existing stack.
• The migration would duplicate tags, events, consent work, dashboards, and training without removing a real constraint.
• The new tool requires engineering resources you do not have.
• The new billing meter becomes expensive during peak season.
• Your main problem is not analytics but lack of time to act on findings.
• The proposed replacement cannot preserve a privacy or retention requirement.
• Historical continuity matters more than a marginal feature improvement.

A replacement should solve a named operational problem.

Migration Checklist: From Hotjar or Contentsquare to Another Tool

Before replacing the current setup, inventory what must survive.

Data and configuration

• Sites, domains, and environments
• Heatmap page groups or target URLs
• Saved filters and segments
• Survey questions and response exports
• Feedback widgets
• User roles
• Integrations
• Consent configuration
• Suppression and masking rules
• Event definitions
• Funnel definitions
• Saved reports
• Historical data needed for audit or seasonal comparison

Parallel-run period

Run the old and new platforms in parallel long enough to verify:

• Traffic volume is directionally consistent.
• Critical events fire in the expected situations.
• Masking works on live pages.
• Bot/staff filtering is acceptable.
• Mobile and desktop both render correctly in replay.
• Dynamic Shopify elements are captured correctly.
• New scripts do not create unacceptable storefront performance issues.
• The team can reproduce at least three known historical problem types.

Cutover condition

Do not remove the old tracking code until the replacement can answer the top five recurring questions the team actually asks.

For Hotjar customers specifically, check the migration notice attached to your account. Contentsquare’s current FAQ says that accounts in its described migration flow can enter a 90-day read-only period before legacy Hotjar data is deleted. Export or preserve required historical information before that window closes. (Contentsquare migration FAQ)

Final Recommendation

The best Hotjar alternative for ecommerce depends on the reason you are replacing Hotjar in the first place.

Use Microsoft Clarity as the first benchmark when cost is the constraint. It is difficult to justify paying for basic behavior visibility without first seeing whether Clarity covers the recurring questions your team actually asks.

Use PostHog when behavior analytics needs to become part of a broader event, product analytics, and experimentation system.

Use Fullstory when multiple teams need deep behavioral evidence and autocaptured product context, and you are willing to evaluate custom paid pricing.

Use Crazy Egg when the job is classic CRO and you value a simple, publicly priced workflow around page behavior, recordings, surveys, and testing.

Use Matomo when data ownership, self-hosting, consent, or deployment control is a purchasing requirement rather than a secondary preference.

Use FullSession when the team wants replay, funnels, errors, and feedback tied together in one optimization workflow.

Stay with Contentsquare when the Hotjar transition gives you what you need and switching does not solve a measurable constraint. Contentsquare is not merely another alternative in 2026; for Hotjar users, it is the default continuation path.

The strongest buying process is therefore not to select a winner from a feature table. Run the 14-day protocol, reject any candidate that fails a mandatory workflow or privacy requirement, normalize cost against your real traffic, and choose the platform your team can turn into decisions every week.

Frequently Asked Questions

Is Hotjar still available in 2026?

Hotjar is now part of Contentsquare, and Contentsquare states that it is no longer possible for new users to create a Hotjar account. New users are directed to Contentsquare. (Contentsquare: Hotjar is now Contentsquare)

What is the best free Hotjar alternative?

Microsoft Clarity is the first free option ATFE would evaluate for a store that primarily needs heatmaps and session replay, because Microsoft currently describes Clarity as free with no traffic limit. Contentsquare, PostHog, Fullstory, and FullSession also publish free allowances, but they use different session, replay, or event limits, so “free” is not directly comparable across tools.

Is Microsoft Clarity a complete replacement for Hotjar?

It can replace the behavior-observation part of many Hotjar workflows, especially heatmaps and session replay. It should not be assumed to replace every survey, product analytics, experimentation, or collaboration workflow. Map your current Hotjar jobs before deciding.

Is Contentsquare a Hotjar alternative?

Not in the normal competitive sense. Contentsquare acquired Hotjar and now states that Hotjar is part of Contentsquare. For an existing Hotjar customer, Contentsquare is better understood as the default successor platform. (Contentsquare Hotjar plans transition)

Which Hotjar alternative is best for Shopify?

There is no universal Shopify winner. A small merchant that mainly needs PDP/cart behavior may start with Clarity. A product-led merchant may prefer PostHog or Fullstory. A privacy-led organization may prefer Matomo. The correct answer depends on event depth, traffic, retention, privacy requirements, experimentation workflow, and who will operate the tool.

Should I run two behavior-analytics tools at the same time?

Running both during a controlled migration can be useful for validation, but keeping duplicate tools indefinitely adds script, governance, consent, and operating complexity. Use a parallel run to verify coverage, then remove redundant tracking when the new system has passed the acceptance criteria.