Top Kissmetrics Alternatives & Competitors based on 254 Reviews
| Brand | Rating | Pricing |
|---|---|---|
|
|
Kissmetrics offers a customized pricing structure that includes a free trial, with plans starting at $299 per month for the basic plan. Pricing increases based on the number of tracked events and advanced features required. | |
|
|
★ ★ ★ ☆ 3.2 | |
|
|
★ ★ ★ ☆ 3.4 | |
|
|
★ ★ ★ ★ ☆ 4.3 | |
|
|
★ ★ ☆ 2.5 | Hotjar provides a tiered pricing model that includes a free basic plan with limited features. Paid plans start at $39 per month and scale up to $389 per month, depending on the number of sessions recorded and feature access. |
|
|
★ ★ ★ ★ ☆ 4.5 | |
|
|
★ ★ ★ ★ ☆ 4.3 | |
|
|
★ ★ ★ ☆ 4 | Mixpanel’s pricing consists of a free tier with limited features, a growth plan starting at $89 per month, and an enterprise level that offers custom pricing based on specific business needs, focusing on event tracking and analytics features. |
|
|
★ ★ ★ 3 | Tableau has several pricing options starting from $70 per user per month for the Creator plan, $35 for the Explorer plan, and $12 for the Viewer plan. There is also an on-premise option available with custom pricing depending on the deployment requirements. |
Compare your brand to your competitors
Why should you be looking for a Kissmetrics alternative?
Users may seek alternatives to Kissmetrics for various reasons, such as the need for specific features, ease of use, budget constraints, or the level of customer support. As businesses evolve, tools must align with changing analytical needs. Top alternatives include Amplitude, Google Analytics, Heap Analytics, Hotjar, Looker, Microsoft Power BI, Mixpanel, and Tableau. This article will explore their features, pricing, and target user demographics to help you find the best fit for your analytics requirements.
Quick Overview of Top Kissmetrics Competitors
-
Amplitude (Best Kissmetrics Alternative for Product Analytics)
Focuses on product and user behavior analytics with robust cohort analysis and retention tracking. Offers features like advanced segmentation and real-time data to drive product development decisions. -
Google Analytics (Cheapest Kissmetrics Competitor)
A widely-used, cost-effective tool that provides deep insights into website traffic and user behavior. Offers powerful tracking capabilities and extensive integration options, making it a versatile choice for businesses of all sizes. -
Heap Analytics (Best Kissmetrics Competitor for No-Code Tracking)
Excels in automatic data capture without coding. Offers powerful insights through event tracking with minimal setup, enabling users to analyze user interactions comprehensively. -
Hotjar (Best Kissmetrics Alternative for User Behavior Insights)
Focuses on qualitative data through heatmaps, session recordings, and surveys. Provides a unique view of user behavior, helping businesses understand user interaction on a deeper level compared to solely quantitative metrics in Kissmetrics. -
Looker (Best Kissmetrics Competitor for Business Intelligence)
Strong data visualization and business intelligence features, allowing users to create detailed reports and dashboards. Offers advanced data modeling and integration capabilities for comprehensive analytics. -
Microsoft Power BI (Top Kissmetrics Alternative for Visual Analytics)
Provides powerful data analytics and visualization features with strong integration with Microsoft products. Offers user-friendly dashboards and a rich set of data transformation tools for comprehensive data storytelling. -
Mixpanel (Best Kissmetrics Alternative for Mobile Analytics)
Specializes in mobile and web analytics, offering detailed insights on user engagement and retention. Features funnel analysis and A/B testing to optimize user experiences effectively. -
Tableau (Top Kissmetrics Competitor for Data Visualization)
Known for its advanced data visualization capabilities, Tableau allows users to create interactive and shareable dashboards. Offers extensive data source integration and supports large datasets, providing in-depth analytics capabilities.
Kissmetrics Alternatives: Feature by Feature Comparison
| Feature | Amplitude | Google Analytics | Heap Analytics | Hotjar | Looker | Microsoft Power BI | Mixpanel | Tableau | Kissmetrics |
|---|---|---|---|---|---|---|---|---|---|
| User Behavior Analytics | Advanced cohort analysis, user paths, and conversion funnels. | Offers event tracking, but less intuitive in segmenting user behavior. | Automatic event capturing without manual tagging. | Focuses on heatmaps and session recordings for behavior insights. | Good at modeling behavioral data into dashboards but lacks real-time user tracking. | Can analyze user behavior but not directly as rich as others. | Offers user behavior tracking with strong funnel capabilities. | Detailed exploration of data patterns and trends but less behavior-based. | Basic user journey tracking and funnel analysis. |
| Cohort Analysis | Highly intuitive cohort analysis by any attribute. | Basic cohort capabilities with segmentation. | Cohorts automatically created based on user actions. | Limited cohort analysis functionality. | Strong cohort analysis with great visualization options. | Basic cohort but mostly for report building. | Supports cohort analysis but not as detailed as Amplitude. | Advanced cohort analysis with strong alignment to business goals. | Basic cohort analysis only focused on user acquisition. |
| Integration Options | Extensive API and integrations with other tools. | Integrates well with Google ecosystem and standard tools. | Easy integrations with numerous marketing tools. | Integrates with survey and social tools. | Multiple integrations built into a robust data platform. | Broad integrations especially with Microsoft products. | Wide range of integrations for data collection and analysis. | Extensive third-party connector availability. | Limited integrations compared to others listed. |
| Real-Time Data | Provides real-time user data analysis. | Real-time reporting but can lag in complex queries. | Near real-time updates on user interactions. | Real-time alerts on user engagement and feedback. | Mostly scheduled reporting with some real-time capabilities. | Real-time analytics available but dependent on data setup. | Real-time user insights emphasizing engagement metrics. | Can show real-time visualizations but with limitations. | Limited to batch reporting, not real-time insights. |
| Data Visualization | Rich visualizations for data exploration. | Basic dashboards and visualization tools. | Visualizes user journeys well. | Offers heatmaps and feedback tools visually. | Excellent data visualizations and dashboard building. | Powerful visualizations tailored for business intelligence. | Good visualization capabilities centered on user journey tracking. | Advanced analytics visualizations with deep customization. | Basic visualizations limited to KPI tracking. |
| User Retention Tools | Focused on retention metrics with deep insights. | Retention reports are available but not detailed. | Automatic insights on user retention over time. | Limited direct focus on retention metrics. | Retention metrics can be analyzed through dashboard setups. | Not explicitly designed for retention optimization. | Good retention tracking but less intuitive. | Retention analysis capabilities are robust but complex. | Basic user retention metrics available only. |
| Customization Options | Highly customizable reports and dashboards. | Custom reports available but can be restrictive. | Highly customizable tracking without coding. | Limited customization for reporting and dashboards. | Deep customization options with a focus on business needs. | Considerable customization options for reports. | Excellent customization for tracking specific metrics. | Highly flexible customization for visualizations and dashboards. | Limited customization in reporting capabilities. |
| User Segmentation | Detailed behavioral segmentation and targeting. | Segmentation for audiences but basic. | Automatic segmentation based on user actions. | Limited segmentation capabilities for behavioral insights. | Advanced segmentation capabilities with data exploration. | User segmentation is available but not as robust. | Strong user segmentation features for funnel analysis. | Built-in segmentation tools for in-depth analysis. | Basic segmentation focused primarily on customer types. |
| Support & Documentation | Robust documentation and support services. | Extensive documentation and community support. | Good support and guides available. | Strong documentation and user community. | Comprehensive resources and active support communities. | Extensive support and user community for troubleshooting. | Strong support but with varying availability. | Great documentation with community forums for troubleshooting. | Minimal support resources compared to others. |
Key Highlights:
- Amplitude excels in user behavior analytics and cohort analysis, providing detailed insights geared towards user retention and engagement.
- Google Analytics is best for users embedded in the Google ecosystem needing basic web analytics and straightforward reporting.
- Heap Analytics stands out for its automatic event tracking and ease of use without requiring manual tagging.
- Hotjar offers unique features like heatmaps and session recordings, making it particularly good for understanding user behavior on a visceral level.
- Looker provides strong data modeling and visualization capabilities, well-suited for businesses requiring customized data analysis.
- Microsoft Power BI emphasizes integration with other Microsoft products, offering solid reporting and visualization features.
- Mixpanel is designed to provide insights specifically on user engagement and retention metrics extensively.
- Tableau excels in data visualization and deep analysis, suitable for businesses that require advanced analytical capabilities.
In contrast, Kissmetrics provides basic tracking and retention metrics but falls short in feature richness compared to these analytics platforms.
Compare your brand to your competitors
Integration Capabilities for each Kissmetrics competitor
| Alternative | Supported Integrations | Compatibility Notes |
|---|---|---|
| Kissmetrics | Salesforce, Zapier, Shopify, Segment, Mailchimp | Strong CRM and marketing tool integrations |
| Amplitude | Segment, Braze, Salesforce, Slack, Zendesk | Focus on product analytics, integrates well with marketing automation tools |
| Google Analytics | Google Ads, Search Console, YouTube, AdMob, Firebase | Excellent integration with Google’s suite of tools |
| Heap Analytics | Segment, Intercom, Salesforce, Slack, Zapier | Emphasis on tracking user behavior with popular SaaS tools |
| Hotjar | Slack, Zapier, Google Tag Manager, HubSpot, Shopify | Primarily a user feedback tool with e-commerce and CRM integrations |
| Looker | Google BigQuery, Databricks, Snowflake, HubSpot, Salesforce | Data visualization tool with strong cloud data integration |
| Microsoft Power BI | Azure, Salesforce, Google Analytics, SQL Server, Mailchimp | Extensive integration capabilities for enterprise solutions |
| Mixpanel | Segment, Zapier, Salesforce, Shopify, S3 | Focused on guiding user engagement through integrations |
| Tableau | Google Analytics, Salesforce, SQL Server, Microsoft Excel | Strong data visualization with a wide range of data source integrations |
Pros and Cons of each Kissmetrics Alternative
Here’s a comparison table that outlines the primary pros and cons of each alternative to Kissmetrics based on their functionalities and typical use cases:
| Alternative | Pros | Cons |
|---|---|---|
| Amplitude | – Advanced event tracking | – Steeper learning curve for beginners |
| – Strong cohort analysis and retention features | – Can be pricey for larger teams | |
| – Excellent for product analytics | – Requires manual setup for complex events | |
| Google Analytics | – Free to use with comprehensive insights | – Can become overwhelming with too much data |
| – Robust audience segmentation and reporting | – Real-time data limitations | |
| – Integrates well with other Google services | – Limited advanced features compared to specialized tools | |
| Heap Analytics | – Automatic event tracking | – May lack depth in custom reporting |
| – User-friendly interface and easy setup | – Data sampling can occur, limiting accuracy | |
| – Good for understanding user journeys | – Less focus on marketing analytics compared to Kissmetrics | |
| Hotjar | – Powerful heatmaps and session recordings | – Primarily qualitative data focus |
| – User-friendly interface and setup | – Limited cohort analysis capabilities | |
| – Useful for understanding user behavior | – Less emphasis on detailed quantitative metrics | |
| Looker | – Highly customizable dashboards and reporting | – Requires SQL knowledge for advanced features |
| – Good for big data analytics with real-time data integration | – High cost, often not suitable for smaller businesses | |
| – Strong collaboration features | – Complexity in setup compared to simpler tools | |
| Microsoft Power BI | – Extensive data visualization capabilities | – Steeper learning curve for non-technical users |
| – Works seamlessly with Microsoft products | – Data modeling can be complex | |
| – Good for large datasets and business intelligence | – Requires a subscription for full features | |
| Mixpanel | – Strong focus on user engagement and retention metrics | – More suitable for mobile and web applications |
| – Easy-to-use interface for funnel tracking | – Pricing increases significantly with usage | |
| – Allows for A/B testing and experimentation | – Limited integration options compared to some peers | |
| Tableau | – Advanced data visualization options | – High cost for licenses |
| – Ideal for data storytelling and business insights | – Requires more data preparation and setup | |
| – Integrates with a wide range of data sources | – Can be complex for new users to navigate |
This table summarizes the specific strengths and weaknesses of each alternative to Kissmetrics, focusing on their functionality and how they align with various analytics use cases.
Kissmetrics vs Competitors: Traffic & Marketing Comparison
Traffic Comparison:
Based on the provided organic traffic data, Tableau has the highest organic traffic, attracting approximately 820,937 visitors in January 2025, showing a consistent high performance over the year. In contrast, Google Analytics has the lowest traffic, with only 684 visitors in January 2025. Other brands like Hotjar and Amplitude also garnered substantial traffic, with numbers reaching 171,357 and 78,014, respectively. This indicates a significant disparity in brand reach, suggesting that Tableau is the most prominent player in this analytics space, while Google Analytics is struggling to maintain visibility.
Top Performing Keywords:
Each brand’s keyword strategy reveals distinct strengths. Kissmetrics excels with high-ranking keywords like "website traffic analysis" and "google analytics login," all hitting the top position. Amplitude dominates with keywords aligned around data analytics, including "data analytics platform," showcasing its analytical strength. Notably, Mixpanel and Tableau focus on marketing and business intelligence keywords, with "marketing analytics" and "business intelligence software" respectively ranking highly. This variation illustrates how brands carve different niches in the crowded analytics market.
Conclusions on Visibility and Reach:
In terms of online visibility, Tableau stands out as the strongest brand with commanding organic traffic and a well-structured keyword strategy focused on analytics and data visualization. Hotjar also shows a strong online presence, leveraging user behavior insights effectively. Conversely, Google Analytics seems to lag behind, struggling with lower traffic and fewer high-ranking keywords. Overall, brands effectively utilizing SEO strategies and niche-focused keywords are achieving superior visibility, marking them as leaders in their categories.
Compare your brand to your competitors
Other “Kissmetrics” Alternatives & Competitors that you can find for free
Here are five alternatives and competitors to Kissmetrics:
-
Segment
- Key Features: Customer data platform (CDP), data integration across multiple sources, user segmentation, real-time analytics, and data forwarding to various tools.
- Trends: Increased focus on first-party data and privacy compliance, integration with various marketing and analytics tools.
- Value Proposition: Helps businesses streamline and centralize their customer data for personalized marketing, improved customer experience, and better data-driven decision-making.
-
Pendo
- Key Features: Product analytics, in-app messaging, user engagement tracking, user feedback collection, and feature adoption metrics.
- Trends: Growth in product-led growth strategies, emphasis on user experience and feedback loops.
- Value Proposition: Enables product teams to understand user behavior, improve product features, and enhance user experience through actionable insights.
-
Funnel.io
- Key Features: Marketing data aggregation, data transformation, reporting automation, and custom dashboards.
- Trends: Demand for streamlined data reporting and visualization from multiple marketing channels.
- Value Proposition: Simplifies the process of collecting and visualizing marketing analytics data, allowing businesses to optimize their marketing strategies efficiently.
-
Woopra
- Key Features: Real-time customer journey tracking, event-based analytics, segmentation, and integration with various marketing tools.
- Trends: Rising interest in customer journey mapping and personalized marketing experiences.
- Value Proposition: Provides detailed insights into customer interactions across multiple touchpoints, helping businesses create targeted marketing campaigns and improve retention.
-
Matomo (formerly Piwik)
- Key Features: Open-source web analytics, customizable dashboards, user privacy-focused analytics, and heatmaps.
- Trends: Increasing concern for user privacy and data ownership, leading to a rise in self-hosted analytics solutions.
- Value Proposition: Offers a robust, privacy-compliant analytics platform that provides in-depth insights while allowing businesses to retain control over their data.
