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Top 6 Product Analytics Software Companies With $1M–$5M Revenue (September 2026)

As of September 2026, Latka tracks 6 product analytics software companies with $1M–$5M in annual revenue. They have combined revenues of $20.2M and employ 199 people. They serve 1.2K customers combined.

Every company below sells product analytics software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Product Analytics Software Companies do

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.

Companies
6
Revenue
$20.2M
Funding
-
Employees
199

Filters

Sorting: Highest -> Lowest

Filters

Top Product Analytics Software Companies With $1M–$5M Revenue

Showing 6 of 6 companies ranked by annual revenue.

1Houseware logo
Houseware

San Francisco, California, United States

Houseware is an award-winning solution, purpose-built for product, marketing, and digital teams. Our product analytics tool, Houseware Analytics, taps into first-party data right on your cloud data warehouse. With Houseware's AI Agents, digital teams are now supercharging their customer experiences. The team won the Snowflake Startup Challenge in 2022 and brings experience from leading SaaS businesses like Atlan, Chargebee, Zeotap, Sundial, and more. Join in on the fun!

Revenue
$4.7M
Year founded
2022
Team size
31
2Conjura logo
Conjura

Dublin, Leinster, Ireland

Founded in 2018, Conjura empowers eCommerce businesses with data-driven insights for smarter decision-making. By integrating with platforms like Shopify, BigCommerce, Google Ads, and Facebook Ads, we connect eCommerce, marketing, and product data into one clear view. Our Retail Analytics solution enables businesses to unlock better insights, optimize performance, and drive strategic growth.

Revenue
$4.1M
Year founded
2018
Team size
37
3Quable logo
Quable

Paris, France

Quable helps marketing teams embrace product data agility and build successful omnichannel presence. Our business oriented platform allows marketers to collect, complement and send all information related to their products to their e-commerce platform, marketplaces, print supports, web portals. The benefits are plural: control product information quality and ensure a coherent product experience for their clients and partners on all communication channels.

Revenue
$3.8M
Customers
150
Year founded
2013
Team size
44
4Countly logo
Countly

London, England, United Kingdom

Product Analytics and Innovation. Build better customer journeys.

Revenue
$3.4M
Customers
1K
Year founded
2013
Team size
53
5Mesh01 logo
Mesh01

Nashua, New Hampshire, United States

Developer of a Web-based survey platform intended to simplify and compile fragmented product feedback channels. The company's platform is purpose-built, and intuitive with an easy-to-use dashboard to create tests, collect critical feedback and collaborate inter-departmentally, enabling clients to access their platform create or improve products before they go to market, instead of waiting until post-launch problems.

Revenue
$2.7M
Year founded
2010
Team size
20
6Feed Dynamix GmbH logo
Feed Dynamix GmbH

Frankfurt, Hessen, Germany

Feed Dynamix bietet Online-Shops eine umfassende Komplettlösung für die datengetriebene Produktvermarktung. Diese ermöglicht es Online-Shops ihre Produkte in über 1.200 digitalen Vermarktungskanälen in über 40 Ländern zu listen. Die Software automatisiert den gesamten Prozess des Produktdatenmarketings – von der Datenanalyse, über die Aussteuerung in die Vertriebskanäle bis hin zur Optimierung der Produktdaten. Bereits seit 2007 vertrauen Online-Shops im Bereich Produktdatenmarketing auf die Technologie von Feed Dynamix.

Revenue
$1.5M
Year founded
2004
Team size
14

Frequently asked questions about Product Analytics Software Companies With $1M–$5M Revenue

How many product analytics software companies with $1M–$5M in annual revenue are there?

Latka tracks 6 product analytics software companies with $1M–$5M in annual revenue. Together they generate $20.2M in annual revenue and employ 199 people.

Which product analytics software company with $1M–$5M in annual revenue is the largest?

Houseware is the largest, with $4.7M in annual revenue, founded in 2022.

How much revenue does a typical product analytics software company with $1M–$5M in annual revenue make?

The average product analytics software company in this list makes $3.4M a year, across 6 companies with reported revenue. They serve 1.2K customers combined.

Who are the leading Product Analytics software vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are Houseware, Conjura, Quable, Countly and Mesh01.

Related Marketing Software categories

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.