Top Hotjar Alternatives & Competitors based on 300 Reviews
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| Brand | Pricing |
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★ ★ ★ ☆ ☆ 2.5 |
Offers a free Basic plan, paid plans starting around $39/month, and a custom-priced Scale option. Paid pricing depends on usage; check the page for current limits and billing terms. |
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★ ★ ★ ☆ ☆ 3.2 |
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★ ★ ★ ☆ ☆ 3.4 |
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★ ★ ★ ★ ☆ 4.3 |
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★ ★ ★ ★ ★ 4.6 |
Subscription pricing is based on usage, such as tracked users or events. Plans have historically started at about $299/month, with higher-volume or enterprise pricing available by quote; confirm current rates on the pricing page. |
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★ ★ ★ ★ ★ 4.5 |
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★ ★ ★ ★ ☆ 4.3 |
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★ ★ ★ ★ ☆ 3.9 |
Includes a free tier, a usage-based Growth plan, and custom Enterprise pricing. Growth costs depend on event volume and selected features, so consult the page for a current estimate. |
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★ ★ ★ ☆ ☆ 3 |
Tableau’s listed annual-billing rates are approximately $75 per Creator, $42 per Explorer, and $15 per Viewer per month for Standard; Enterprise rates are approximately $115, $70, and $35, respectively. The provided link is the Tableau homepage, so use Tableau’s pricing page to verify current rates. |
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Why should you be looking for a Hotjar alternative?
Users may look beyond Hotjar for deeper analytics, specific integrations, simpler workflows, lower costs, or more responsive support. Alternatives include Amplitude, Google Analytics, Heap Analytics, Kissmetrics, Looker, Microsoft Power BI, Mixpanel, and Tableau. The comparison explores each tool’s features, pricing, and ideal users.
Quick Overview of Top Hotjar Competitors
- Amplitude — Best Hotjar Alternative for Product Analytics: Provides event-based product analytics for exploring user journeys, funnels, retention, and behavioral cohorts. It’s suited to analyzing how users engage with a product, rather than focusing on Hotjar-style heatmaps and session recordings.
- Google Analytics — Best Free Hotjar Alternative for Website Analytics: Tracks website and app traffic, acquisition, and conversions, with reporting and integrations across Google’s marketing tools. It’s a broader option for measuring traffic and outcomes; its free standard version is an advantage for eligible users.
- Heap Analytics — Best Hotjar Alternative for Automatic Event Capture: Automatically captures many user interactions, letting teams analyze behavior and build funnels or journeys without having to define every event in advance. Heap also supports retroactive analysis of captured events.
- Kissmetrics — Best Hotjar Competitor for Revenue and Customer Analytics: Focuses on tying individual customer behavior to conversion and revenue metrics. Its customer-level reporting is useful for SaaS and ecommerce teams measuring how behavior relates to business outcomes.
- Looker — Best Hotjar Alternative for Governed Business Intelligence: Provides dashboards and data exploration built around LookML, its modeling language for defining reusable business metrics. It’s a fit for teams that need governed reporting across data sources, rather than primarily on-page behavior tools.
- Microsoft Power BI — Best Hotjar Alternative for Microsoft-Centric Reporting: Offers interactive reports and dashboards, data connectors, and modeling with DAX. Its integration with Microsoft products makes it useful for organizations analyzing business data beyond website interactions.
- Mixpanel — Best Hotjar Alternative for Funnels and Retention: Provides event-based product analytics, including funnels, retention reports, and user cohorts. It helps teams investigate where users drop off and how engagement changes over time.
- Tableau — Best Hotjar Competitor for Data Visualization: Supports interactive dashboards and visual exploration of data from multiple sources. It’s especially useful for building and sharing flexible business reports, rather than for Hotjar’s heatmaps and session recordings.
Hotjar Alternatives: Feature by Feature Comparison
| Platform | Key features | Where it can be stronger than Hotjar | Hotjar’s comparative advantage |
|---|---|---|---|
| Amplitude | Product analytics for tracking events and user journeys; funnels, retention and cohort analysis; behavioral segmentation; dashboards; session replay and experimentation capabilities across its product suite. | Deeper quantitative product analysis. Teams can measure how specific behaviors relate to activation, retention and conversion, then compare patterns across cohorts. This is useful for product managers deciding what to improve and whether a change affected important metrics—not just where visitors clicked. | Hotjar is more directly oriented toward understanding why people struggle, with visual heatmaps, recordings and on-site surveys or feedback. Amplitude’s broader product capabilities may also depend on which products and plan a team uses. |
| Google Analytics (GA4) | Event-based measurement of websites and apps; reports on acquisition, engagement, conversions and revenue; audience creation; attribution and advertising integrations; predictive insights; and BigQuery export for further analysis. | Broader acquisition and business-performance reporting. GA4 helps users connect traffic sources and campaigns with on-site or in-app events and conversions. Its BigQuery export is useful for teams that want to combine analytics data with other datasets and run custom analysis. | Hotjar provides more direct qualitative UX evidence—such as heatmaps, session recordings and feedback—whereas GA4’s standard reports are primarily aggregated metrics. GA4’s provisioning link may require a Google account or property access. |
| Heap Analytics | Automatic event capture; retroactive analysis of captured behavior; funnels, journeys and retention analysis; user segmentation; and session replay capabilities. | Less dependence on advance event instrumentation. Automatic capture can help teams investigate interactions they did not think to track when first setting up analytics. Retroactive analysis is especially useful when a new product question arises and historical captured data is available. | Hotjar’s visual tools and feedback features are designed to make usability issues easier to spot and interpret. Heap’s value is stronger in structured behavioral analysis; the depth of replay and other capabilities depends on the product plan. |
| Kissmetrics | Person-level behavioral analytics; funnel and cohort reporting; revenue and customer metrics; campaign attribution; and reporting designed for SaaS and ecommerce businesses. | Customer and revenue-oriented analysis. Kissmetrics connects behavior to individual customer journeys and business outcomes, helping teams investigate questions such as which campaigns bring in valuable customers or where prospective buyers drop out of a conversion path. | Hotjar makes it easier to inspect page-level behavior and collect direct visitor feedback. Kissmetrics is better suited to customer, funnel and revenue reporting than to visual diagnosis of page usability. |
| Looker | Cloud business intelligence and data exploration; governed metrics and reusable business logic through LookML; dashboards and reports; data-warehouse connectivity; and embedded analytics. | Governed, reusable reporting across business data. Looker is useful when teams need consistent definitions for metrics—such as revenue or conversion rate—across departments, reports or embedded customer-facing experiences. It can analyze data from a wider business stack, not just website behavior. | Hotjar is purpose-built for UX research and behavior observation. Looker is a BI platform, so using it to understand user experience generally requires suitable data sources and modeling; it does not replace Hotjar’s out-of-the-box heatmaps, recordings or feedback tools. |
| Microsoft Power BI | Connectors for a range of data sources; data preparation with Power Query; data modeling and calculations with DAX; interactive reports and dashboards; sharing and collaboration; and integration with Microsoft’s analytics ecosystem. | Flexible, cross-source business intelligence. Users can combine web analytics with CRM, sales, finance and operational data to build reports around broader business questions. Its modeling and visualization tools are useful for organizations that want custom dashboards and reporting workflows. | Hotjar is faster and more specialized for observing how people use pages and collecting their feedback. Power BI is not primarily a UX-behavior platform; teams typically need to connect, prepare and model data to answer those questions. |
| Mixpanel | Event-based product analytics; funnels, retention, flows and cohort analysis; user profiles and segmentation; dashboards; and session replay capabilities. | Fast, detailed analysis of product behavior. Mixpanel helps teams explore event data, compare user segments and investigate where users drop off or return. This is especially useful for measuring feature adoption and retention in websites and apps. | Hotjar offers a more direct qualitative toolkit, especially visual heatmaps and user feedback. Mixpanel’s strength is quantifying behavior and trends; replay capabilities overlap with Hotjar but do not make it a like-for-like replacement for Hotjar’s research tools. |
| Tableau | Visual analytics and interactive dashboards; connections to multiple data sources; data preparation and exploration; sharing and governance features; and AI-assisted insights such as Tableau Pulse. | Advanced, flexible visualization of broad datasets. Tableau is useful for building custom analyses and dashboards that combine product or web data with business, operational or customer data. Its visualization flexibility helps teams explore patterns beyond predefined analytics reports. | Hotjar is more specialized and immediately actionable for UX investigation: users can view recordings and heatmaps and collect feedback without first building a BI model. Tableau generally requires data connections and analysis work, and does not provide Hotjar’s core visual behavior-capture workflow. |
Feature-page references: Amplitude · Google Analytics · Heap · Kissmetrics · Looker · Microsoft Power BI · Mixpanel · Tableau. Hotjar’s core comparison points are its heatmaps, recordings, surveys and feedback tools. Availability of capabilities can vary by vendor plan and product configuration.
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Integration Capabilities for each Hotjar competitor
| Alternative | Supported Integrations | Compatibility Notes |
|---|---|---|
| Amplitude | Segment and mParticle; data warehouses including Snowflake, BigQuery, and Redshift; destinations such as Braze, Salesforce, and advertising platforms. | Hotjar and Amplitude can be connected through Segment where both are configured in your data pipeline. A direct Hotjar–Amplitude connection is not listed on Hotjar’s integrations page. |
| Google Analytics | Google Ads, Search Console, BigQuery, Google Ad Manager, Firebase, and other Google products. | Hotjar lists Google Analytics as an integration. The tools complement each other: Hotjar provides behavioral feedback and session insights, while Analytics reports on traffic and events. |
| Heap Analytics | Segment and other data-routing tools; data warehouses such as Snowflake, BigQuery, and Redshift; CRM and marketing tools including Salesforce and HubSpot. | No direct Hotjar–Heap connector is listed by Hotjar. A shared data pipeline or supported export route may be needed to combine data. |
| Kissmetrics | E-commerce and billing tools such as Shopify, WooCommerce, and Stripe; plus integrations and automation options such as Salesforce, Mailchimp, and Zapier. | No direct Hotjar–Kissmetrics integration is listed by Hotjar. A third-party connector may help where both services support the same route; confirm the available actions before relying on it. |
| Looker | Data platforms including BigQuery, Snowflake, Amazon Redshift, and other SQL databases; extensions and actions for tools such as Slack and Salesforce. | Looker connects to data sources and extensions rather than functioning as a direct Hotjar app integration. Combining Hotjar data with Looker generally requires an available export, API, or intermediary data platform. |
| Microsoft Power BI | Connectors for services and platforms including Google Analytics, Salesforce, Google BigQuery, Snowflake, and Microsoft services. | Hotjar does not list a standard native Power BI connector. Connecting the products typically requires an export, API, or third-party connector; connector availability can depend on the data source and Power BI setup. |
| Mixpanel | Segment and other data pipelines; warehouses including BigQuery, Snowflake, and Redshift; and tools such as Braze, Salesforce, and advertising platforms. | Hotjar lists Mixpanel as an integration. The products can be used together for qualitative behavior insights and product analytics; check the integration settings for the data each direction supports. |
| Tableau | Connectors for Salesforce, Google Analytics, BigQuery, Snowflake, Amazon Redshift, and a wide range of databases and cloud services. | Tableau’s integrations primarily connect it to data sources. Hotjar does not list a standard native Tableau connector, so combining the data generally requires an export, API, or intermediary data platform. |
Examples are representative, not exhaustive. Integration availability and connector features can change; Hotjar’s current integration list is at hotjar.com/integrations.
Pros and Cons of each Hotjar Alternative
Hotjar is primarily used for visual website feedback—heatmaps, session recordings, and surveys. The alternatives below are stronger in some kinds of analytics, but many don’t replace those visual and feedback tools directly. Feature availability can vary by plan.
| Alternative | Pros | Cons |
|---|---|---|
| Amplitude | Strong event-based product analytics, including funnels, retention, cohorts, and user journeys. Useful for connecting behavior to product outcomes; session replay is also available. | More setup and analytical complexity for teams that just need quick website feedback. Heatmaps and on-page feedback are less central to its analytics workflow. |
| Google Analytics (GA4) | Useful for web and app traffic, acquisition, conversions, and attribution; integrates with Google products and can export data to BigQuery. The standard version is free. | Doesn’t provide Hotjar-style heatmaps or session recordings. Requires event and conversion configuration, and some reports can be affected by data thresholds or reporting limits. |
| Heap Analytics | Automatically captures many user interactions, making it possible to define events and analyze past behavior without having planned every event in advance. Offers product analytics and session replay. | Auto-capture can create noisy data that needs interpretation. It is less focused on lightweight visual feedback, such as quickly reviewing heatmaps or collecting on-page responses. |
| Kissmetrics | Focuses on person-level customer behavior, funnels, cohorts, and lifecycle or revenue analysis—useful for SaaS and ecommerce teams tracking conversion and repeat use. | Less suited to visually diagnosing page usability: it does not center on Hotjar-style heatmaps and session recordings. Its use cases are narrower than a general-purpose BI platform. |
| Looker | Supports governed reporting across data sources using a shared data model; useful for organizations that need consistent metrics and dashboards from a data warehouse. | Usually requires data modeling and technical setup. It doesn’t collect session recordings, heatmaps, or survey responses, so those require other tools. |
| Microsoft Power BI | Builds dashboards and reports from many data sources; a good fit for organizations already using Microsoft tools and for teams analyzing business data with custom models. | Requires data preparation and modeling for reliable reporting. It doesn’t provide Hotjar-style behavioral capture or visual feedback features. |
| Mixpanel | Strong event-based product analytics for funnels, retention, segmentation, and user paths. Useful for finding where users drop off across web or mobile product flows; session replay is available in some offerings. | More focused on quantitative product behavior than on-page research. Heatmaps and direct visitor feedback are not its primary use case. |
| Tableau | Flexible data visualization and exploration across many sources; useful for custom dashboards and analysis of large or complex datasets. | Often needs prepared data and specialist dashboard work. It doesn’t capture user behavior or provide heatmaps, session recordings, or surveys out of the box. |
In brief: Amplitude, Heap, Mixpanel, and Kissmetrics are closer to product-analytics alternatives; GA4 focuses on web and app measurement; Looker, Power BI, and Tableau are BI and visualization platforms. For session recordings, heatmaps, or on-page feedback, those tools may need to be paired with a dedicated research or feedback tool.
Hotjar vs Competitors: Traffic & Marketing Comparison
Traffic comparison: No organic traffic values are provided: every brand’s traffic array is empty. Therefore, it isn’t possible to identify the highest- or lowest-traffic brand or compare traffic levels. The keyword rankings show search visibility, not visits, so they shouldn’t be treated as a substitute for traffic data.
Top-performing keywords: The supplied keyword entries show position 1. Amplitude has the broadest listed reach (23 keywords), spanning analytics, BI, AI, and data management. Mixpanel (20) and Tableau (20) also cover many categories; Looker has 16 and Microsoft Power BI 12. Heap has 6, Hotjar 2, and Kissmetrics 1. Google Analytics has no listed rankings.
Visibility and reach: By breadth of listed keywords, Amplitude has the strongest reach, followed by Mixpanel and Tableau. Their coverage spans multiple analytics and data-related topics, while Hotjar’s entries center on website monitoring and social media analytics, and Kissmetrics’ on digital marketing analytics. These rankings suggest category visibility, but traffic and actual reach cannot be confirmed without traffic figures and ranking context.
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Other “Hotjar” Alternatives & Competitors that you can find for free
| Competitor | Key features | Trend / focus | Value proposition |
|---|---|---|---|
| Fullstory | Session replay, heatmaps, journey analysis, conversion funnels, and signals for frustration such as rage clicks | Moving toward connecting behavioral data with AI-assisted analysis and product insights | Detailed behavioral context helps teams identify and diagnose user-experience issues |
| Microsoft Clarity | Free session recordings and heatmaps, including rage-click and dead-click indicators | Making behavioral analytics accessible to teams with limited budgets | A straightforward, no-cost way to spot usability problems and see how visitors interact with a site |
| Crazy Egg | Heatmaps, scroll maps, session recordings, surveys, and A/B testing | Combining visual behavior insights with lightweight experimentation | Helps teams find page improvements and test changes without a complex analytics setup |
| Mouseflow | Session replay, multiple heatmap types, funnels, form analytics, and feedback tools | Bringing several conversion-optimization tools into one platform | Gives teams a broad view of where users struggle, abandon forms, or drop out of journeys |
| Lucky Orange | Dynamic heatmaps, recordings, conversion funnels, form analytics, surveys, and live chat | Pairing behavior analytics with on-site engagement tools | Lets teams investigate user friction and interact with visitors from a single platform |
Feature availability may vary by plan. “Trend / focus” describes each product’s broad positioning, not a guarantee of a recent release.