Top Heap Analytics Alternatives & Competitors based on 274 Reviews
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Hotjar offers a tiered pricing model that includes a Free Basic plan, which allows for limited features and a capped number of sessions per day. Paid plans (Plus, Business, and Scale) offer additional features such as unlimited data, advanced reporting, and priority support, with pricing starting from $39/month and increasing based on the number of sessions recorded. |
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Kissmetrics does not feature a public pricing page; instead, it encourages interested users to request a demo or a custom quote. This typically indicates a flexible pricing strategy based on the specific needs of the customer, focusing on analytics and marketing tools. |
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Mixpanel utilizes a usage-based pricing model with a Free plan that includes basic features for up to 1,000 monthly tracked users. Paid plans (Growth and Enterprise) provide more advanced features, custom data analysis, and priority support, with pricing scalable based on user count and features needed, starting from $25/month. |
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Tableau pricing is tiered into several plans including Tableau Creator ($70/month/user), Tableau Explorer ($35/month/user), and Tableau Viewer ($12/month/user). They also have an On-premise option that varies based on deployment needs. Each tier offers different levels of features and capabilities, catering to varying user requirements. |
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Why should you be looking for a Heap Analytics alternative?
Users often seek alternatives to Heap Analytics due to specific feature requirements, ease of use, budget constraints, and support options. They may require tailored analytics capabilities, user-friendly interfaces, cost-effective solutions, or more responsive customer support. Top alternatives include Amplitude, Google Analytics, Hotjar, Kissmetrics, Looker, Microsoft Power BI, Mixpanel, and Tableau. This exploration will examine their unique features, pricing structures, and target users, helping you identify the best fit for your analytics needs.
Quick Overview of Top Heap Analytics Competitors
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Amplitude – Best Heap Analytics Competitor for Product Analytics
Offers robust product analytics features with advanced cohort analysis and machine learning capabilities. Ideal for teams focused on user behavior across products. -
Google Analytics – Cheapest Heap Analytics Alternative
Provides comprehensive web analytics capabilities with a free tier that caters to small to medium-sized businesses. Known for its integration with other Google services and extensive documentation. -
Hotjar – Best Heap Analytics Alternative for User Engagement
Combines heatmaps, session recordings, and feedback tools to provide insights into user behavior. Strong focus on qualitative data, making it easier to understand user experience. -
Kissmetrics – Effective Heap Analytics Competitor for Customer Journey Tracking
Focuses on tracking individual user behavior over time, providing detailed insights into customer journeys. Excellent for businesses aiming to improve retention and conversion. -
Looker – Powerful Heap Analytics Alternative for Data Modeling
Offers a unique data modeling layer that enables custom analytics solutions. Best suited for organizations that require integrated business intelligence capabilities. -
Microsoft Power BI – Flexible Heap Analytics Competitor for Business Intelligence
Provides a highly customizable reporting and dashboarding tool. Suitable for enterprises looking to integrate analytics seamlessly with other Microsoft services. -
Mixpanel – Advanced Heap Analytics Alternative for Product Metrics
Specializes in event tracking and provides in-depth insights on user actions within applications. Known for its user-friendly interface and real-time reporting capabilities. -
Tableau – Top Heap Analytics Competitor for Data Visualization
Offers powerful data visualization tools that help organizations turn complex data into understandable insights. Ideal for teams looking to create detailed and interactive dashboards.
Heap Analytics Alternatives: Feature by Feature Comparison
| Feature | Heap Analytics | Amplitude | Google Analytics | Hotjar | Kissmetrics | Looker | Microsoft Power BI | Mixpanel | Tableau |
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| Event Tracking | Automatic event tracking with no code required, capturing all interactions automatically. | Similar auto-tracking capabilities, with contextual insights into user journeys. | Manual event tracking primarily, though it offers some auto-tracking features. | Does not focus on event tracking but on user feedback through session recordings. | Manual tracking needed; however, it provides in-depth tracking for individual user journey. | Requires manual setup for event tracking but enables in-depth query capabilities via SQL. | Manual event tracking, but strong visualization capabilities for data-driven insights. | Strong auto-tracking and event segmentation, allowing dynamic analysis of user behaviors. | Manual event tracking; however, more sophisticated visual representation of data. |
| User Segmentation | Offers robust user segmentation capabilities based on properties and behavior. | Advanced segmentation features based on user behaviors and profiles. | Provides basic user segmentation capabilities, suitable for different metrics analysis. | No segmentation functionalities available, as it focuses more on qualitative insights. | Offers segmentation based on customer behaviors but lacks the depth of Amplitude or Mixpanel. | Customizable segmentation using SQL with capabilities for user roles and attributes. | Provides standard segmentation features, but lacks real-time capabilities compared to others. | Dynamic segmentation with real-time analytics to identify user cohorts quickly. | Includes basic segmentation, primarily focused on visualizing trends rather than user analysis. |
| Analytics Interface | Intuitive UI with auto-generated charts to visualize user behavior without extensive manual setup. | User-friendly dashboard with easy navigation and drag-and-drop functionalities. | Classic analytical dashboard, which might seem complex for new users. | Visual session recordings aid in understanding user experiences visually. | Clear dashboard layout but can be overwhelming due to lots of data and metrics presented. | Modern UI that merges data from different sources, but may require learning for new users. | Detailed dashboards with robust charting capabilities that are visually appealing. | Highly customizable dashboards that support real-time data visualization. | |
| Data Integration | Integrates seamlessly with various data sources and warehouses for real-time data analysis. | Strong third-party integrations for data collection and analysis, plus easy export capabilities. | Good integrations, especially with Google products, but may require manual syncing. | Integrates with analytics tools for more comprehensive data but lacks original data capture. | Basic APIs for integration, but less extensive compared to Amplitude or Mixpanel. | In-depth integration capabilities with various databases and platforms for comprehensive analysis. | A robust API for easy integration with numerous applications and databases. | Strong API support, enabling an extensive connectivity with other data sources for advanced analysis. | |
| Reporting Capabilities | Provides in-depth reporting with a focus on user interaction metrics. | Offers customizable reports with retention and cohort analyses focusing on user engagement. | Comprehensive reporting options, but less customizable than Amplitude. | Lacks sophisticated reporting features, focusing more on raw feedback and qualitative data. | Reporting capabilities are limited compared to modern tools, focusing mostly on funnel reporting. | Customizable reports using SQL, giving significant flexibility in data analysis and business intelligence. | Provides extensive and detailed reporting, but may require technical knowledge to fully utilize. | Strong reporting functionality that provides clear data visualization but can be complex to derive insights from. | |
| Cohort Analysis | Robust cohort analysis provides insights based on user behavior over defined periods. | Advanced cohort analysis features that focus on retention and user engagement over time. | Basic cohort analytics with some predefined options but lacks the depth offered by peers. | No dedicated cohort analysis; instead focuses on user feedback trends. | Basic cohort capabilities, primarily focused on conversion rates and user retention metrics. | Offers cohorts through SQL queries, allowing deeper analysis based on specific business logic. | Offers some cohort analysis but is less user-friendly compared to others’ capabilities. | Advanced cohort analysis focusing on real-time data and allowing behavioral segmentation. | Basic cohort analysis features, primarily focusing on visual representation of trends rather than behavioral insights. |
| Real-Time Analysis | Offers real-time data processing capabilities for swift user behavior insights. | Real-time analytics providing instant feedback on user interactions. | Real-time features are limited; primarily focused on session-based data. | Lacks real-time analytics but provides insights through user behavior recording. | Offers near real-time metrics, but less effective than other platforms for tracking instant actions. | Real-time updates are available, especially for integrated data sources; however, requires setup. | Strong real-time analytics features allowing users to track interactions immediately. | Offers real-time analytics capabilities but requires efficient data connection setup for quick insights. | |
| Retention Analysis | Advanced retention analysis studies user habits and behavior over time, focusing on engagement. | Sophisticated retention tracking with comprehensive cohort capabilities. | Basic retention reporting available but lacks detailed insights compared to Amplitude. | No specific retention analysis; relies on feedback looping rather than analytics. | Limited retention features geared towards sales funnels and basic assessments. | Provides retention analysis through SQL capability for deeper engagement metrics. | Retention analysis features available but less detailed than competitors. | Strong retention analytics focusing on tracking user interactions over time for continuous improvement. | Basic retention tracking available; however, it’s more focused on visual data representation than user engagement analysis. |
| Pricing Structure | Provides tiered pricing with customizable options catering to different business needs. | Competitive pricing with clear value proposition for startups and larger enterprises. | Freemium model available with varying features; higher tiers unlock more detailed analytics. | Offers basic features for free, with pricing tiers that focus on feedback and basic analytics. | Pricing based on user volumes with limited features for smaller budgets. | Pricing varies based on data and feature access, with a focus on enterprises needing advanced analytics. | Typically priced based on consumption and features needed; flexible for startups but potentially costly for larger use cases. | Pricing can be steep for advanced features; offers a trial period for potential users to explore full capabilities. | Value-focused pricing based on functionalities needed; accessible for various organizations but varies on scale. |
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Integration Capabilities for each Heap Analytics competitor
| Alternative | Supported Integrations | Compatibility Notes |
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| Heap Analytics | Segment, Snowflake, Google Tag Manager, Salesforce, Marketo, HubSpot, Stripe, Zendesk, Slack, Jira, APIs | Strong support for CRMs, marketing tools, and data warehousing. |
| Amplitude | Segment, Google Analytics, Marketo, Zendesk, Salesforce, Drift, Mailchimp, Shopify, Slack | Focus on user behavior analytics and product development. |
| Google Analytics | Google Ads, Search Console, Tag Manager, Salesforce, HubSpot, Shopify, WordPress, Mailchimp | Widely compatible with advertising and general web tools. |
| Hotjar | Google Analytics, HubSpot, Zendesk, WordPress, Shopify, Mailchimp, Segment | Primarily focused on user feedback and heatmap tools. |
| Kissmetrics | Salesforce, Shopify, WordPress, Segment, Mailchimp, Google Analytics | Designed for marketing and e-commerce analytics. |
| Looker | Google Cloud BigQuery, Snowflake, Redshift, MySQL, PostgreSQL, Salesforce, Segment | Strong integration with various databases and cloud services. |
| Microsoft Power BI | Google Analytics, Salesforce, Dynamics 365, Mailchimp, Azure, SAP, HubSpot | Well-suited for enterprise-level tools and data visualization. |
| Mixpanel | Segment, Salesforce, Shopify, Slack, Zapier, HubSpot, Mailchimp | Focuses on product analytics and real-time data. |
| Tableau | Google Analytics, Salesforce, SQL Server, Oracle, Snowflake, Shopify, Excel | Versatile integration with various data sources for visualization. |
This table outlines the major integrations offered by various analytics tools compared to Heap Analytics, highlighting their compatibility with popular tools in the analytics landscape.
Pros and Cons of each Heap Analytics Alternative
Here’s a concise comparison of different analytics platforms compared to Heap Analytics, focusing on key pros and cons relevant to typical use cases.
| Alternative | Pros | Cons |
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| Amplitude | – Advanced cohort analysis – Powerful retention tracking – User-friendly interface |
– Higher cost for premium features – Steeper learning curve for new users |
| Google Analytics | – Free tier available – Comprehensive reporting features – Integrates with Google Ads |
– Sampling issues with large datasets – Less focus on user behavior tracking |
| Hotjar | – Visual insights (heatmaps, session recordings) – User feedback tools (surveys, polls) |
– Limited event tracking capabilities – Not as comprehensive for user lifecycle |
| Kissmetrics | – Strong customer segmentation – Focus on revenue metrics – Good for SaaS businesses |
– Can be expensive – UI may feel outdated to some users |
| Looker | – Strong data visualization capabilities – Good for advanced analytics – Integrates with multiple sources |
– Requires technical expertise for setup – Higher cost compared to other options |
| Microsoft Power BI | – Robust reporting and dashboarding tools – Excellent integration with Microsoft products |
– Requires Microsoft environment for best performance – Steeper learning curve |
| Mixpanel | – Event-based tracking model – Strong focus on user engagement metrics – Cohort analysis features |
– More expensive for large teams – Limited historical data retention in lower tiers |
| Tableau | – Powerful data visualization capabilities – Handles large data sets efficiently |
– Can be expensive – Complexity may be overwhelming for basic users |
This table highlights the primary strengths and weaknesses of each alternative in relation to Heap Analytics, focusing on their typical use cases.
Heap Analytics vs Competitors: Traffic & Marketing Comparison
Traffic Comparison:
In terms of organic traffic, Tableau leads significantly, attracting over 8.8 million visits in January 2025 alone, while Hotjar and Amplitude follow with impressive traffic, peaking at 2.1 million and 1.1 million, respectively. Heap Analytics shows a decline from a high of nearly 400k in late 2024 to just 174k in early 2025. Google Analytics struggles with significantly lower traffic, around 5k, highlighting its reduced visibility compared to its competitors.
Top Performing Keywords:
Keywords for each brand vary, with Heap Analytics excelling in competitive terms related to product analytics, ranking 1st for 13 keywords. Amplitude shows strong positioning with multiple high-ranking keywords, including product analytics software and data analytics companies. Google Analytics has strong visibility for basic search queries, such as “google analytics 4,” but lacks high-performance keywords compared to its competitors. Hotjar sports a variety of keywords but lacks top positions for major search terms, indicating a different approach.
Conclusions on Visibility and Reach:
Based on organic traffic and keyword reach, Tableau clearly dominates the market with the highest visibility. It consistently ranks well across diverse keywords, indicating a robust online presence. Amplitude and Hotjar also enjoy substantial visibility, but with less breadth in keyword strength. Heap Analytics shows strength in niche areas, but its traffic is declining. Google Analytics, despite its established name, suffers from low traffic and keyword ranking, suggesting a need for revitalization in its visibility efforts.
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Other “Heap Analytics” Alternatives & Competitors that you can find for free
Here are five alternatives to Heap Analytics, along with their key features, strengths, and value propositions:
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Pendo
- Key Features: Product feedback, in-app messaging, user analytics, and onboarding tools.
- Strengths: Strong focus on user experience and product management. Excellent for SaaS companies looking to gather user insights and improve product adoption.
- Value Proposition: Pendo enables businesses to understand user behavior directly within the application, facilitating better product enhancements and customer success initiatives.
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Amplitude
- Key Features: Behavioral cohorts, advanced segmentation, user journey mapping, and retention analysis.
- Strengths: Robust analytics for understanding user engagement and retention metrics. Great for product teams aiming to optimize user experiences.
- Value Proposition: Amplitude helps teams leverage user data to build better products and enhance user engagement over time.
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Crazy Egg
- Key Features: Heatmaps, scrollmaps, A/B testing, and user recordings.
- Strengths: Focused on website optimization with visual tools that provide insights into how users interact with web pages.
- Value Proposition: Crazy Egg allows businesses to visually understand user behavior, helping drive conversions and improve overall website effectiveness.
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Segment
- Key Features: Data integration with different tools, user data tracking, and API access for data management.
- Strengths: Powerful in consolidating customer data from various sources into a single view, making it easy to send that information to other tools.
- Value Proposition: Segment streamlines data collection and integration across platforms, enabling businesses to have a unified view of their customer interactions for better targeting and analysis.
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FullStory
- Key Features: Session replay, heatmaps, user journey tracking, and error tracking.
- Strengths: Provides a detailed view of user interactions, helping teams identify issues and opportunities for improvement in real-time.
- Value Proposition: FullStory empowers organizations to deeply analyze user behaviors by replaying sessions, ensuring that they enhance the user experience based on solid data.
These alternatives provide various unique features and strengths that can meet specific business needs for analytics and user insights.
