Top Hotjar Alternatives & Competitors based on 274 Reviews
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Hotjar offers a free basic plan with limited features, suitable for small websites. Paid plans start at $39/month for the Starter plan, which includes more features like heatmaps and session recordings, and go up to $389/month for the Business plan, which provides advanced tools for larger teams and more significant tracking. |
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Kissmetrics provides a customizable pricing model based on user needs, requiring users to contact sales for personalized quotes. The service is generally aimed at businesses looking for analytics and marketing solutions tailored to specific metrics and performance tracking. |
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Mixpanel pricing is tiered based on usage. The Free plan allows for limited data points, while the Growth plan starts at $25/month, suitable for small to medium businesses. Custom plans are available for larger companies, with pricing based on data volume and features selected. |
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Tableau’s pricing structure includes different plans: a free trial, Creator at $70/user/month for full analytics capabilities, Explorer at $35/user/month for interactive data visualization, and Viewer at $12/user/month for those who only need to view dashboards and reports. |
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Why should you be looking for a Hotjar alternative?
Users often seek alternatives to Hotjar due to specific needs like advanced analytics, budget restrictions, or ease of use. Some may require more robust features or better customer support. Leading alternatives include Amplitude for product analytics, Google Analytics for web insights, and Heap Analytics for automated data capture. Kissmetrics targets marketing metrics, while Looker and Microsoft Power BI excel in business intelligence. Mixpanel offers advanced event tracking, and Tableau is renowned for data visualization. This article will delve into their features, pricing, and target users.
Quick Overview of Top Hotjar Competitors
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Amplitude – Best Hotjar Alternative for Product Analytics
Comprehensive product analytics platform that offers advanced cohort analysis, user journey mapping, and robust segmentation. Designed for product teams to understand user behavior deeply and optimize customer experiences. -
Google Analytics – Most Widely Used Hotjar Competitor
Free and powerful analytics tool with extensive features for tracking website traffic, conversion rates, and user demographics. Offers strong integration with other Google services and provides real-time reporting. -
Heap Analytics – Best Hotjar Alternative for Automatic Data Capture
Focuses on automatic event tracking to capture every user interaction without manual setup. Enables deep dive behavioral analysis and retroactive insights, providing a comprehensive view of user journeys. -
Kissmetrics – Hotjar Competitor Specializing in Customer Insights
Analytics tool designed to offer clear insights on customer behavior, tracking individual user journeys from acquisition to conversion. Strong emphasis on actionable data for marketing and sales optimization. -
Looker – Best Hotjar Alternative for Business Intelligence
Provides a powerful data exploration and visualization platform ideal for data-driven businesses. Allows for customizable data reports and dashboards, enabling teams to analyze data from various sources in real-time. -
Microsoft Power BI – Strong Hotjar Competitor for Data Integration
Business analytics tool that transforms raw data into interactive dashboards and reports. Known for its seamless integration with Microsoft products and ability to analyze data from diverse sources easily. -
Mixpanel – Top Hotjar Alternative for User Engagement Tracking
Offers advanced features for tracking and analyzing user interactions across web and mobile applications. Emphasizes event-based tracking and provides insights that help businesses improve engagement and retention. -
Tableau – Premier Hotjar Competitor in Data Visualization
Renowned for its powerful data visualization capabilities, Tableau helps users create interactive and shareable dashboards. It is well-suited for complex data analysis and storytelling, making data understandable at all levels.
Hotjar Alternatives: Feature by Feature Comparison
| Feature | Amplitude | Google Analytics | Heap Analytics | Kissmetrics | Looker | Microsoft Power BI | Mixpanel | Tableau | Hotjar |
|---|---|---|---|---|---|---|---|---|---|
| User Behavior Tracking | Advanced behavioral cohorting & funnels. | Event-based tracking, user path analysis. | Automatic event tracking without defining events. | User journey tracking, cohort analysis. | Data exploration through custom metrics. | User behavior visualizations via dashboards. | Event tracking with funnels and retention. | Drag-and-drop analysis for user actions. | Session recordings and heatmaps. |
| Data Visualization | Interactive charts & dashboards; customizable. | Standard reporting and visualization tools. | Visual analytics with automatic insights. | Custom dashboards for user metrics. | Flexible dashboards and data drill-downs. | Rich data visualizations and report sharing. | Real-time visual representation of data. | User-friendly visualizations for web analytics. | Limited visual reporting compared to BM tools. |
| Segmentation | Robust segmentation by behavioral data. | Basic segmentation; primarily demographic focus. | Dynamic cohorts based on real-time data. | Behavioral segmentation with numerous filters. | Advanced segmentation with SQL queries. | Segment data for interactive reporting; simple | User segmentation based on events. | In-depth segmentation options available. | Simple segmentation based on location/demography. |
| Real-time Analytics | Real-time event tracking and insights. | Near real-time analytics; data is not delayed. | Instantaneous data with real-time user insights. | Day-to-day insights with some delays. | Real-time updates on dashboard metrics. | Real-time report updates with dashboard monitoring. | Live analytics dashboard tracking user engagement. | Real-time associations; less immediate than others. | Data is processed on a scheduled basis. |
| Cohort Analysis | Sophisticated cohort analysis & retention views. | Basic cohort retention tracking available. | Automated cohort analysis without manual setup. | Retention analysis but not as intuitive. | Powerful cohort analysis capabilities via custom queries. | Cohort analysis involves manual setups; limited. | Simple cohort analysis focusing on events. | Clearly defined cohort structures for deep insights. | Basic retention rates, not as robust. |
| Integrations | Extensive integrations with product tools. | Integrates well with Google products. | Wide-ranging integrations with data tools. | Basic integrations mostly with marketing tools. | Integrates with various data sources extensively. | Seamless integration with Microsoft products. | Strong integrations with engineering apps. | Various integrations but may require setup. | Limited integrations compared to enterprise-focused tools. |
| Custom Reporting | Tailored reporting for specific business needs. | Customizable dashboards; fairly limited structure. | Automatic report generation based on events. | Focus on user behavior reports. | SQL-based custom reports; very flexible. | Highly customizable reports built on SQL. | Custom reports on user actions available. | Intuitive report customization for insights. | Limited custom reporting capabilities. |
| Ease of Use | User-friendly interface with guided analysis. | Straightforward UX for existing Google users. | Minimal setup; instant insights but requires understanding. | Simple to set up; more focused on specific use cases. | Complex setup; advanced capabilities may intimidate. | Intuitive design with a focus on user experience. | Easy-to-use interface geared towards analytics. | Simple to set up; primarily for visual feedback. | Simple dashboard but lacks advanced functionality. |
| Pricing | Pricing based on revenue and features; customizable. | Free tier with limitations; paid plans for advanced data. | Freemium model, then scaled pricing based on usage. | Referral-based pricing; some features limited. | Varies based on data usage and features. | Tiered pricing based on user count and features. | Pricing based on events tracked; scalable. | Subscription-based pricing dependent on features. | Freemium model with premium features. |
Unique or Superior Aspects Compared to Hotjar
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Amplitude: Advanced behavioral cohorting features exceed Hotjar’s qualitative data focus, offering quantitative analysis for data-driven decisions.
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Google Analytics: Provides extensive reporting and integration capabilities, especially beneficial for businesses that already utilize Google’s suite of products.
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Heap Analytics: Excels in automatic event tracking, making it seamless for users to garner insights without manual setup.
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Kissmetrics: Though robust in behavioral analytics, it offers specific focus areas like customer retention which can be more actionable than Hotjar’s general feedback.
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Looker: Its custom SQL queries and extensive integrations make it a superior choice for companies with complex data needs needing real-time actionable insights.
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Microsoft Power BI: Offers deep integration with other Microsoft products, plus an extensive range of visualizations that can outpace Hotjar’s limited options.
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Mixpanel: Counts on its strong event tracking and sophisticated retention analysis, providing users with advanced tools that surpass Hotjar’s session-based insights.
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Tableau: Provides in-depth visual analytics and flexible reporting against a diverse stack of data sources, which is far richer than Hotjar’s simplified feedback loops.
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Integration Capabilities for each Hotjar competitor
| Alternative | Supported Integrations | Compatibility Notes |
|---|---|---|
| Hotjar | Zapier, Google Analytics, Segment, HubSpot, Shopify, WordPress, Mailchimp, Intercom, Slack, Customer.io, and more | Excellent for behavioral analytics; integrates well with most data-driven tools. |
| Amplitude | Segment, Zapier, Google Analytics, Looker, Tableau, Power BI, Intercom, Slack, Claim, and more | Strong integration with analytics and business intelligence tools. |
| Google Analytics | Google Ads, Google Search Console, AdMob, DoubleClick, Salesforce, Zapier, and others | Deep integration with Google ecosystem and other major data platforms. |
| Heap Analytics | Segment, Zapier, Salesforce, Intercom, Mixpanel, Google Analytics, Looker, and more | Focuses on event tracking; compatible with popular BI and CRM tools. |
| Kissmetrics | Zapier, Mailchimp, Salesforce, Shopify, Google Analytics, and more | Limited integrations compared to some competitors; strong orientation towards marketing analytics. |
| Looker | Google Cloud, BigQuery, Salesforce, Segment, and others | Primarily geared towards data analytics; strong compatibility with data warehouses. |
| Microsoft Power BI | Azure, Salesforce, Google Analytics, Salesforce Marketing Cloud, PostgreSQL, and more | Excellent compatibility within the Microsoft ecosystem and popular databases. |
| Mixpanel | Segment, Zapier, Amplitude, Intercom, Google Analytics, and others | Strong event tracking capabilities; extensive third-party integration options. |
| Tableau | Google Analytics, Salesforce, Excel, SQL databases, R & Python, and more | Highly compatible with analytics and visualization tools; focuses on data connectivity. |
Pros and Cons of each Hotjar Alternative
Here’s a comprehensive comparison of each alternative to Hotjar, focusing on specific strengths and weaknesses relevant to typical use cases:
| Alternative | Pros | Cons |
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| Amplitude | – Advanced product analytics for tracking user behavior over time | – Can be complex to set up and requires learning curve for new users |
| – Great for cohort analysis and user segmentation | – Pricing can escalate with the number of events tracked | |
| – Integrates well with other tools and has a strong API | ||
| Google Analytics | – Free version available with extensive features for website traffic analysis | – Limited in-depth user behavior analysis compared to Hotjar |
| – Strong integration with Google Ads and other Google tools | – The interface can be overwhelming for beginners | |
| – Excellent for tracking e-commerce metrics | ||
| Heap Analytics | – Automatic data capture of all user interactions | – Can be resource-intensive and may slow down loading times |
| – Visual interface for easy analysis and insights | – Pricing is based on data volume, which can lead to high costs | |
| – Good for product teams focused on user experience | ||
| Kissmetrics | – Focus on individual user journeys, allowing for detailed cohort analysis | – Limited integration options compared to others |
| – Ideal for SaaS and e-commerce, enables tracking across multiple devices | – User interface may feel dated and less intuitive | |
| – Good customer support | ||
| Looker | – Powerful data modeling capabilities for custom reporting and insights | – Requires technical expertise for setup and customization |
| – Integrates well with big data platforms and supports SQL queries | – Higher price point, particularly suited for larger organizations | |
| – Handles data governance and security well | ||
| Microsoft Power BI | – Strong visualization capabilities and interactive dashboards | – Mostly suited for businesses already using Microsoft products |
| – Good integration with a variety of data sources | – Complexity in data preparation may deter less technical users | |
| – Relatively affordable pricing model for analytics | ||
| Mixpanel | – Strong in user engagement analysis and retention tracking | – Focused more on product analytics, possibly less on holistic website behavior analysis |
| – In-depth reporting tools for A/B testing and feature usage | – Pricing can be prohibitive for startups depending on feature set | |
| – Real-time data analysis for fast decision-making | ||
| Tableau | – Advanced visualization tools and can handle large datasets | – Steeper learning curve for basic users |
| – Excellent for creating dynamic, shareable dashboards | – High cost, particularly for smaller organizations or startups | |
| – Good integration capabilities with other data sources |
This table outlines the primary pros and cons of each alternative in relation to Hotjar, focusing on functionality, pricing, and user experience.
Hotjar vs Competitors: Traffic & Marketing Comparison
Traffic Comparison:
In analyzing the organic traffic, Tableau stands out with the highest monthly count, peaking at over 12 million visitors, followed by Hotjar with a notable traffic range peaking around 3.3 million. Microsoft Power BI ranks next, closely trailing Hotjar, demonstrating robust traffic levels as well. Amplitude, Heap Analytics, and Mixpanel show lower traffic relative to the top three, with counts hovering around 700k to 1.3 million. Google Analytics and other brands like Kissmetrics and Looker reveal considerably lesser traffic.
Top Performing Keywords:
Hotjar leads with strong rankings in crucial keywords like "product analytics" and "google analytics". Amplitude’s best performance relates to its niche in "customer data platform" while also leading in "amplitude platform" and various product analytics terms. Google Analytics effectively ranks for key industry terms like "analytics 4". Conversely, brands like Kissmetrics and Heap Analytics may benefit from refining their keyword strategies called for by their lower keyword rankings, which hinder their visibility in traffic-driven searches.
Conclusions on Visibility and Reach:
Brand visibility varies significantly, with Tableau and Hotjar emerging with the strongest presence due to their substantial organic traffic and robust keyword rankings. Tableau excels particularly in data visualization keywords and business analytics, while Hotjar dominates traffic analytics keywords. Microsoft Power BI also enjoys favorable ranking in key business intelligence terms. Conversely, brands like Kissmetrics and Google Analytics, while featuring several important terms, lag in overall traffic, indicating room for growth in visibility strategies.
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Other “Hotjar” Alternatives & Competitors that you can find for free
Here are five alternatives and competitors to Hotjar, along with their key features, strengths, and value propositions:
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Lucky Orange
- Key Features: Heatmaps, session recordings, live chat, visitor polls, funnels, visitor segmentation.
- Strengths: Provides a comprehensive set of tools for real-time interaction and analysis. The user-friendly interface allows for easy navigation and immediate insights.
- Value Proposition: Offers a robust all-in-one solution for understanding user behavior and enhancing engagement through real-time feedback.
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Crazy Egg
- Key Features: Heatmaps, scroll maps, user session recordings, A/B testing, insights dashboard.
- Strengths: Simple setup with clear visualization tools to understand where users click and how they navigate pages.
- Value Proposition: Designed for users who want to optimize their website’s performance with actionable insights delivered quickly and clearly.
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FullStory
- Key Features: Session replay, heatmaps, event tracking, on-demand support for troubleshooting user issues.
- Strengths: Deep session replay functionality that captures user interactions in a meaningful way, allowing for detailed analysis of user journeys.
- Value Proposition: Focuses on providing a complete, contextual view of user sessions, making it easy for teams to identify and resolve pain points.
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Pendo
- Key Features: Product analytics, user feedback, in-app messaging, onboarding guides, feature adoption tracking.
- Strengths: Combines product analytics with user guidance tools, making it perfect for SaaS companies looking to drive feature adoption.
- Value Proposition: Helps organizations track user behavior while actively supporting them in navigating and utilizing the product effectively.
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Smartlook
- Key Features: Session recordings, heatmaps, event tracking, user segmentation, funnels.
- Strengths: Provides real-time insights into user behavior along with the ability to segment users and analyze specific events easily.
- Value Proposition: Focuses on the combination of qualitative and quantitative data, making it easier to understand user behavior on a deeper level.
These tools can be valuable for businesses looking to enhance their user experience, optimize website performance, and make data-driven decisions.
