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Top 2 Mobile App Analytics Tools Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 2 mobile app analytics tools companies under $1M in annual revenue. They have combined revenues of $630K and employ 129 people. They serve 100 customers combined.

Every company below sells mobile app analytics tools 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 Mobile App Analytics Tools Companies do

Mobile app analytics tools are software solutions that help developers and businesses track and analyze user behavior within mobile applications. These tools gather data related to user interactions, engagement metrics, retention rates, and app performance. They enable stakeholders to understand how users navigate through the app, which features are most utilized, and where bottlenecks or drop-offs occur, thus providing insights for improvement. Typical features of mobile app analytics tools include user segmentation, funnel analysis, event tracking, and real-time reporting. The primary use cases for these tools involve product optimization, marketing strategies, and user engagement initiatives. Common user personas include product managers, marketers, and developers who seek to enhance user experiences and drive app growth through data-informed decisions.

Companies
2
Revenue
$630K
Funding
-
Employees
129

Filters

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Top Mobile App Analytics Tools Companies Under $1M Revenue

Showing 2 of 2 companies ranked by annual revenue.

1UserExperior logo
UserExperior

San Jose, California, United States

UserExperior is a mobile app user experience monitoring product which when plugged into the app starts providing insights to the experience end user get when using the app on their mobile devices. It also provides a video of the users session which help in quickly troubleshooting user issues. UserExperior monitors end users experience and provides 1. Video of the users sessions so you can see exactly how the user uses your app. 2. App crash reporting along with video of the session till the crash point making it easy to replicate the issue. 3. ANRs and Exception monitoring 4. Heat Maps to know friction points on UI which frustrates your end users causing them to dropout. 5. User Navigation flow and video sessions of dropped out session to know why the users dropped out. 6. App experience analytics.

Revenue
$330K
Year founded
2016
Team size
3
2Mobstac logo
Mobstac

New York, New York, United States

The easiest way for developers to create #context-aware apps & gather #proximity-based analytics on customer interactions. Learn more at http://t.co/F0w9ViNfuz

Revenue
$300K
Customers
100
Year founded
2010
Team size
126

Frequently asked questions about Mobile App Analytics Tools Companies Under $1M Revenue

How many mobile app analytics tools companies under $1M in annual revenue are there?

Latka tracks 2 mobile app analytics tools companies under $1M in annual revenue. Together they generate $630K in annual revenue and employ 129 people.

Which mobile app analytics tools company under $1M in annual revenue is the largest?

UserExperior is the largest, with $330K in annual revenue, founded in 2016.

How much revenue does a typical mobile app analytics tools company under $1M in annual revenue make?

The average mobile app analytics tools company in this list makes $315K a year, across 2 companies with reported revenue. They serve 100 customers combined.

Who are the leading Mobile App Analytics tools vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are UserExperior and Mobstac.

Related Development Software categories

All Development Software SaaS categoriesEvery category we track inside Development Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Mobile App Analytics to everything else.

Inclusion Criteria

- Must provide insights into user behavior and engagement within mobile applications. - Must include features for tracking events, user paths, and performance metrics. - Must offer tools for segmentation of user data for targeted analysis. - Should enable real-time reporting and data visualization for quick decision making. - Not just focused on user acquisition; must also analyze user retention and churn metrics.