- Revenue
- $100M
- Customers
- -
- Year founded
- 2015
- Funding
- $251M
- Team size
- 453
- Growth
- 211.18%
Top 26 Product Analytics Software SaaS Companies in May 2026
As of May 2026, there are 26 SaaS companies in Product Analytics Software. They have combined revenues of $383.4M and employ 2.2K people. They have raised $361.2M and serve 200M customers combined.
Product Analytics Software refers to tools that enable organizations to gather, analyze, and interpret data regarding user interactions with their digital products. These tools typically offer insights into how users engage with websites and applications, helping teams understand usage patterns, feature effectiveness, and overall user experience. They provide functionalities like event tracking, segmentation analysis, and visualization of user journeys to support data-driven decision-making. Primary use cases for Product Analytics Software include optimizing feature development, enhancing user experience, and improving customer retention strategies. Typical features might include dashboards for real-time data analysis, user segmentation, cohort analysis, and integration capabilities with other software tools. Common buyer personas for these products are product managers, user experience researchers, marketing teams, and data analysts, all aiming to leverage analytics for product improvements.
Filters
Sorting: Highest -> Lowest
Top Product Analytics Software Companies
Showing 10 of 7 companies ranked by annual revenue.
- Revenue
- $65.7M
- Customers
- -
- Year founded
- 2016
- Funding
- $8.8M
- Team size
- 23
- Growth
- 6.78%
- Revenue
- $63M
- Customers
- 270
- Year founded
- 2010
- Funding
- $20M
- Team size
- 345
- Growth
- 16.59%
4
Catalyst Software
New York, New York, United States
Catalyst is a software platform for customer success teams, product managers, marketers and data scientists.
- Revenue
- $44.2M
- Customers
- 250
- Year founded
- 2016
- Funding
- $42.7M
- Team size
- 203
- Growth
- 99.3%
5
novomind
Hamburg, Hamburg, Germany
Developer of an intelligent commerce and customer service software. The company specializes in product information management (PIM) and marketplace integration, enabling customers to continuously increase the number of digital customer relationships across all channels and strengthen the value of these customer relationships.
- Revenue
- $26.6M
- Customers
- 250
- Year founded
- 1999
- Funding
- -
- Team size
- 280
- Growth
- 51.83%
6
First Insight
Warrendale, Pennsylvania, United States
Provider of a cloud-based predictive analytic platform intended to empower retailers and brands to introduce the right products at the right price. The company's platform offers insight into consumer demand and optimal entry price points for new products and the information is delivered by applying predictive analytic models, enabling clients to increase full-price sales and improve gross margins with measurable gains and product development.
- Revenue
- $21M
- Customers
- -
- Year founded
- 2007
- Funding
- -
- Team size
- 113
- Growth
- 128.19%
7
Appcues
Boston, Massachusetts, United States
Appcues is a software company that provides a user onboarding and product adoption platform for businesses. Their platform allows businesses to create customized in-app experiences and guides for their users, helping to onboard new users and improve product adoption rates. Appcues enables businesses to create personalized user experiences through various features such as in-app messages, product tours, and surveys. Their platform also provides analytics and reporting tools, allowing businesses to measure the effectiveness of their onboarding and adoption efforts and make data-driven decisions to optimize user engagement.
- Revenue
- $16.7M
- Customers
- 200M
- Year founded
- 2013
- Funding
- $35.9M
- Team size
- 75
- Growth
- 92.92%
Inclusion Criteria
- The software must provide tools for tracking user interactions and engagement with digital products. - It should include features for analyzing usage patterns and segmentation of user demographics. - The product must offer visualization tools for interpreting data and user journeys. - It should enable integration with other business intelligence and analytics tools. - Not just focusing on raw data collection; must also provide actionable insights and recommendations for product development.