22 Best Product Intelligence Software Reviewed For 2024
10 The Best Product Intelligence Software Shortlist
Here's my pick of the 10 best software from the 20 tools reviewed.
Our one-on-one guidance will help you find the perfect fit.
With so many different product intelligence solutions available, figuring out which is right for you is tough. You know you want to track user behaviour, streamline manual data gathering, gather insights more efficiently, and access granular insights into your competition that empower your decision-making with predictive analytics but need to figure out which tool is best. I've got you! In this post I'll help make your choice easy, sharing my personal experiences using dozens of different intelligence tools with large teams and complex products, with my picks of the best product intelligence software.
What is Product Intelligence Software?
Product intelligence software is a tool that helps you garner in-depth insights about your product's performance and customer usage patterns. Product managers, UX designers, marketers, and data analysts can use it to make data-driven decisions in their product development processes.
This type of software allows users to track and analyze how their product is used, identify potential pain points, and measure product-market fit.
Overviews Of The 10 Best Product Intelligence Software
Sprig
Best for capturing and analyzing product experience insights at scale with AI
Sprig is an all-in-one product experience platform that offers tools such as session replay, heatmaps, surveys, feedback collection, and AI analysis to help businesses understand and optimize their users' experience. Its unique selling point lies in its AI-powered insights, which can turn user feedback and behavior data into actionable product learnings, making it the best tool for AI-powered product insights at scale.
Why I Picked Sprig:
I chose Sprig for its advanced suite of tools designed to capture and analyze user behavior, making it a strong candidate for product intelligence software. When comparing it to other tools, Sprig stands out due to its AI-powered capabilities that automate the analysis of user feedback and behavior, providing actionable insights in real time. This makes it particularly effective for teams looking to quickly identify and address product issues and opportunities.
Standout features & integrations:
Sprig's features enable users to capture and analyze user behavior, gather continuous feedback, and turn insights into actionable product improvements. The platform is designed to help various teams optimize their products, improve conversion rates, solve user pain points, and save time and resources. For integrations, Sprig can be paired with Segment, Google Tag Manager, Mixpanel, Amplitude, Optimizely, LaunchDarkly, Figma, Sketch, Adobe XD, Slack, Zapier, Google Sheets, Salesforce, HubSpot, Intercom, and Gmail.
Pros and cons
Pros:
- Intuitive sentiment analysis
- Seamless integration with design tools
- Automated insights generation
Cons:
- High dependency on user participation
- Limited customization options
- Complex setup for advanced features
UserTesting is a platform that allows businesses to gain real-time insights into their customer's experiences. By enabling live video feedback from a diverse set of users, it offers an unparalleled window into understanding customer interactions and preferences. This makes it the best for capturing live video customer feedback, ensuring a deeper connection between businesses and their users.
Why I Picked UserTesting:
When I was assessing different feedback tools, UserTesting stood out due to its unique emphasis on live video feedback. The ability to see and hear users interact with your product in real-time presents a wealth of qualitative data that traditional feedback tools often overlook. I chose UserTesting as the best for live video customer feedback because it allows businesses to empathize with their customers at a granular level and adapt their strategies based on these insights.
Standout features & integrations:
UserTesting's key features include the ability to target specific user demographics, live video feedback sessions, and the option to ask follow-up questions. These allow for a thorough understanding of user experiences. In terms of integrations, UserTesting can be paired with many popular platforms like Slack, Jira, and Trello, making the workflow more streamlined.
Pros and cons
Pros:
- Wide range of integrations with popular platforms
- Allows demographic targeting for feedback
- Provides live video feedback for in-depth insights
Cons:
- More quantitative data options would be beneficial
- The platform requires a learning curve to use effectively
- The cost per video might be high for smaller businesses
Segment operates as a powerful customer data platform, aiming to provide clean, reliable customer data to the tools which businesses use for analytics and growth. Its capacity to collect user events from web & mobile apps and provide a complete data toolkit makes it ideal for companies looking to improve their data integrity and customer understanding.
Why I Picked Segment:
I picked Segment for its high degree of proficiency in consolidating customer data. Its ability to funnel customer data into a single, unified view for multiple uses, including analytics, marketing, and product development, sets it apart from other tools. Its efficient data integration makes it the best choice for customer data integration.
Standout features & integrations:
Segment's primary features include data management, prototyping, identity resolution, and data privacy, all of which contribute to maintaining a clean and controlled data environment. As for integrations, Segment works well with a myriad of tools, such as Google Analytics, Mixpanel, and Mailchimp, which broadens its application for different business needs.
Pros and cons
Pros:
- Extensive list of integrations with other platforms
- Provides a single view of customer data
- Offers robust data integration options
Cons:
- Some users may find the user interface complex to navigate
- May require technical skills to maximize its features
- The price point might be steep for small businesses
Amplitude is a comprehensive product intelligence platform known for its ability to track and analyze product and user behavior data effectively. Its strength lies in unraveling patterns in user behavior, providing valuable inputs for product development and optimization.
Why I Picked Amplitude:
Amplitude made it to my list due to its robust and detailed user behavior analytics. When evaluating various platforms, I found that Amplitude presents an exceptional ability to parse through user behavior data and draw meaningful inferences, making it a standout choice. Its claim to be 'Best for product and user behavior analytics' is underpinned by these strong capabilities.
Standout features & integrations:
Amplitude's key features include real-time analytics, cohort analysis, and advanced segmentation, which are critical in understanding and influencing user behavior. On the integration front, Amplitude aligns well with tools like Slack, Jira, and Zendesk, promoting data sharing and team collaboration.
Pros and cons
Pros:
- Strong integration capabilities
- Real-time analytics
- Comprehensive user behavior analytics
Cons:
- Custom pricing lacks upfront clarity
- It may take time to navigate and fully utilize the complex feature set
- The cost may be prohibitive for smaller businesses
CleverTap is a comprehensive customer engagement and retention tool that offers a range of mobile marketing solutions. With its ability to analyze, segment, and engage users across mobile and web platforms, it proves to be an invaluable asset for mobile-first businesses.
Why I Picked CleverTap:
CleverTap caught my attention for its robust capabilities specifically geared toward mobile-first businesses. It is the tool's deep emphasis on mobile user engagement and the ability to leverage user behavior data for personalized marketing that sets it apart. In my view, CleverTap is best for mobile-first businesses due to its focus on delivering meaningful mobile user experiences and driving customer retention on mobile platforms.
Standout features & integrations:
Key features of CleverTap include behavior-based segmentation, real-time analytics, omnichannel marketing, and AI-powered predictive modeling. Each of these components is critical for creating and implementing effective mobile marketing strategies. In terms of integrations, CleverTap partners with several leading social media platforms like Facebook, Google Ads, LinkedIn, Zapier, and Shopify.
Pros and cons
Pros:
- Integrates well with other major platforms
- Offers a comprehensive set of features
- Specialized tool for mobile-first businesses
Cons:
- Customer support can be improved
- A steep learning curve due to the multitude of features
- The pricing may not be affordable for small businesses
Tableau is a data visualization and business intelligence tool that helps users transform raw data into understandable, interactive dashboards. It has an easy-to-use interface with drag-and-drop features, making it an optimal choice for individuals or organizations that prefer intuitive, hands-on data analytics.
Why I Picked Tableau:
In my quest to find an effective tool for data analytics, I judged various contenders. Tableau emerged as my choice thanks to its straightforward user interface that allows even the most non-technical individuals to manipulate data with ease. Its exceptional drag-and-drop feature allows users to create visualizations quickly, making it an optimal choice for those in need of swift, uncomplicated data analytics.
Standout features & integrations:
Tableau offers robust features, including real-time data analytics, data blending, and collaborative capabilities. Perhaps the most noteworthy feature is its drag-and-drop interface that facilitates rapid dashboard and report creation. In terms of integrations, Tableau connects with a wide array of data sources, from databases like MySQL, Microsoft Teams, and Oracle, to cloud-based services like Google Analytics and Salesforce.
Pros and cons
Pros:
- Real-time data analytics
- Wide range of data source integrations
- User-friendly drag-and-drop feature
Cons:
- Customer support could be improved
- Complex calculations can be challenging to implement
- Pricing can be expensive for smaller businesses
Looker is a data platform that empowers businesses to delve into their data, providing comprehensive tools for exploration and visualization. Its emphasis on creating interactive dashboards and extensive customization options make it ideal for organizations that need a deeper understanding of their data.
Why I Picked Looker:
In deciding on a tool for data exploration and visualization, I had to make a comparison of a wide variety of offerings. I selected Looker for its rich features and reputation for facilitating data-driven decision-making. What made Looker stand out is its powerful exploration capabilities coupled with an intuitive interface. This makes it best for any organization aiming for a hands-on approach to data visualization and exploration.
Standout features & integrations:
Key features of Looker include its flexible data modeling that allows for customization and control over how data is explored and delivered. Moreover, Looker's powerful graph and visualization tools create interactive dashboards that effectively communicate insights. When it comes to integrations, Looker provides connectivity with SQL databases and major data warehouse providers, including Google BigQuery, Amazon Redshift, and Snowflake, among others.
Pros and cons
Pros:
- Highly customizable data modeling
- Extensive integrations with major data warehouses
- Robust data exploration and visualization capabilities
Cons:
- Can be expensive for small businesses
- Might be complex for non-technical users
- Lack of transparent pricing
Pendo is a product experience platform that allows businesses to understand their user's interactions within the app. It provides critical insights about in-app user behavior and leverages these to deliver a better user experience.
Why I Picked Pendo:
Pendo emerged as a strong contender in my research, primarily for its in-depth in-app interaction tracking capabilities. I noticed that Pendo excels at providing detailed analytics about how users navigate within an application. It stands apart from the rest because of its unique focus on maximizing user experience, which directly aligns with its prowess in tracking in-app interactions.
Standout features & integrations:
Pendo is loaded with features like user segmentation, which helps in targeting specific user groups. It offers rich feedback and analytics features, providing a holistic view of the user experience. Pendo’s integration capabilities are vast, supporting integration with major CRM and marketing tools like Salesforce, Marketo, and Slack.
Pros and cons
Pros:
- Vast integration options
- Rich feedback and analytics capabilities
- Extensive in-app tracking
Cons:
- Custom pricing can lack transparency
- Steeper learning curve compared to similar platforms
- Pricing can be high for smaller businesses
Heap is a product analytics platform that makes user interactions and activity data instantly accessible and usable for businesses. Its primary strength is its automatic data capture feature, which eliminates the need for manual tracking setup, thereby reducing the chances of missed data or insights.
Why I Picked Heap:
I selected Heap for my list due to its automatic user interaction capture capability, which sets it apart from many other tools in the market. While most tools require manual configuration for tracking different events, Heap captures all user actions from the get-go, making it truly 'best for capturing all user interactions automatically.'
Standout features & integrations:
Heap's key features include automatic event capturing, retroactive analytics, and data governance, which offer a rich, flexible, and secure environment for data analysis. Heap smoothly integrates with platforms such as Salesforce, Optimizely, and Google Ads.
Pros and cons
Pros:
- Integrates well with many commonly used platforms
- Ability to perform retroactive analytics
- Automatic capturing of all user interactions
Cons:
- Some users might find the user interface less intuitive than competitor platforms
- Can be expensive for small businesses or startups
- Custom pricing may lack transparency for potential customers
Kissmetrics is an advanced analytics platform that provides businesses with a deep understanding of their customer's behavior. Its specialty lies in tracking the customer journey and analyzing conversion funnels, making it an exceptional tool for businesses striving to improve their customer experience and conversion rates.
Why I Picked Kissmetrics:
I chose Kissmetrics for this list because of its unique focus on the customer journey and funnel tracking. It differentiates itself with its capacity to track individual customers across various touchpoints, providing valuable insights into their behavior and preferences. I believe that Kissmetrics stands out as the best option for businesses seeking to understand and improve their customer journey and conversion funnels.
Standout features & integrations:
Kissmetrics boasts standout features like behavioral tracking, segmentation, and funnel analysis. It allows businesses to track customer behavior across multiple devices and sessions, offering valuable insights that can drive conversion optimization. As for integrations, it partners with a wide array of platforms such as Shopify, WooCommerce, and HubSpot, thus enabling a flow of data across different tools.
Pros and cons
Pros:
- Wide array of integrations
- Offers valuable behavioral insights
- Exceptional at tracking customer journey and conversion funnels
Cons:
- May be overkill for small businesses
- Steeper learning curve compared to other platforms
- High starting price
| Tools | Price | |
|---|---|---|
| Sprig | From $175/month (billed annually) | Website |
| UserTesting | Pricing available upon request | Website |
| Segment | From $10/user/month (billed annually) | Website |
| Amplitude | Pricing upon request | Website |
| CleverTap | From $99/month | Website |
| Tableau | From $70/user/month (billed annually) | Website |
| Looker | From $5,000/month | Website |
| Pendo | Pricing upon request | Website |
| Heap | Pricing upon request | Website |
| Kissmetrics | From $299/month (billed annually) | Website |
Compare Software Specs Side by Side
Use our comparison chart to review and evaluate software specs side-by-side.
Compare SoftwareOther Product Intelligence Software
Below is a list of additional product intelligence software that I shortlisted but did not make it to the top 10. Definitely worth checking them out.
- Mixpanel
For real-time data analytics
- Adobe Analytics
For marketing performance tracking
- SellerApp
For Amazon marketplace sellers
- Countly
Good for real-time mobile analytics
- Qualaroo
Good for collecting user feedback
- AppDynamics
Good for application performance management
- Crazy Egg
Good for heat map tracking
- Fullstory
Good for session replay functionalities
- MoEngage
Good for customer segmentation and engagement
- Upland Localytics
Good for personalized app experiences
Selection Criteria for Product Intelligence Software
In my quest to identify the most effective product intelligence tools, I've tested and researched numerous options in depth. I've grappled with more than 20 tools and narrowed down to my top picks based on some critical criteria. Each of these selected tools excelled in specific areas that were crucial for the task at hand.
Core Functionality
When considering product intelligence software, these core functionalities are essential:
- User Behavior Tracking: The tool should effectively track and analyze how users interact with your product.
- Product Performance Analysis: The software should assess the product's performance based on specified metrics.
- Issue Identification: The tool should be capable of identifying and highlighting issues or bugs that might affect user experience.
- Customer Segmentation: It should enable you to segment users based on their behavior, preferences, and interaction with your product.
Key Features
To truly stand out, a product intelligence tool should possess the following key features:
- Real-Time Analytics: The tool should offer real-time data and insights to enable quick decisions and actions.
- Funnel Analysis: It should be able to map out and analyze user journey and conversion funnels.
- A/B Testing: The tool should allow you to perform A/B tests to find out what works best for your product.
- Integration Capabilities: It should integrate with other tools or systems that your company uses, such as CRM or ERP systems.
Usability
The following factors contribute to the usability of a product intelligence tool:
- Intuitive Interface: The tool should offer an intuitive, user-friendly interface that allows users to navigate and operate it without extensive technical expertise.
- Easy Onboarding: A product intelligence tool should have a straightforward onboarding process. Helpful tutorials, guides, or customer support should be available to help new users understand how to use the tool effectively.
- Efficient Customer Support: Prompt and effective customer support is a must. In case of any difficulties or queries, users should be able to reach out for assistance quickly.
- Role-Based Access: For tools used in a team or enterprise setting, it's important that they have role-based access controls. This allows different team members to have appropriate access levels, ensuring data security and process integrity.
Most Common Questions Regarding Product Intelligence Software (FAQs)
What are the benefits of using product intelligence software?
Product intelligence software offers numerous benefits, providing deep insights into user interactions for improvement. Tailor user experiences, enhance development, resolve issues, and track performance over time.
How much do product intelligence tools typically cost?
The cost of product intelligence tools varies widely based on features, data volume, and user count. Prices can range from free for some basic tools to over $1000 per month for enterprise-level solutions with extensive features and capabilities.
What are the typical pricing models for product intelligence tools?
Most product intelligence tools follow a subscription-based or custom pricing model. Subscription models usually charge on a per-user, per-month basis, often offering different service levels. Custom pricing models are often designed based on the specific needs and size of the business, taking into account factors such as data volume, the number of events tracked, and the level of customer support required.
What is the typical range of pricing for these tools?
The pricing for product intelligence tools can range from as low as $10 per user per month for basic plans to over $1000 per month for advanced, enterprise-level plans.
What is the cheapest and most expensive product intelligence software?
The cheapest software is often the ones that offer a free tier, such as County and Piwik PRO. These free tiers typically offer basic functionalities and are best suited for small businesses or startups. On the higher end, tools like AppDynamics and Adobe Analytics can be more expensive, often costing upwards of $1000 per month for enterprise plans.
Are there any free product intelligence tool options?
Yes, some product intelligence tools offer free versions. Examples include Countly and Piwik PRO. However, these free options usually offer limited functionalities and might be better suited for small businesses or startups looking for basic insights.
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What do you think?
As the field of product intelligence continues to evolve, new tools are constantly emerging, and existing ones are regularly updated. I've done my best to cover the top tools in the market, but there might be some that I've missed. If there are tools you believe should have been included, I invite you to share them.
Your feedback and suggestions will help make this guide more comprehensive and useful for everyone!