We detected 20,465 companies using Branch, 80 companies that churned, and 53 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (15%) and the most common company size is 2-10 employees (58%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs.
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
🏢 Top Industries
Software Development1292 (15%)
Technology, Information and Internet994 (11%)
Financial Services721 (8%)
Retail448 (5%)
Hospitals and Health Care358 (4%)
📏 Company Size Distribution
2-10 employees11862 (58%)
51-200 employees2523 (12%)
11-50 employees2454 (12%)
201-500 employees1193 (6%)
1,001-5,000 employees1019 (5%)
👥 What types of companies use Branch?
Source: Analysis of Linkedin bios of 20,465 companies that use Branch
Company Characteristics
i
Shows how much more likely Branch customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Series F
68.4x
Funding Stage: Series D
35.8x
Funding Stage: Series C
34.1x
Company Size: 10,001+
9.6x
Country: Kuwait
8.4x
Industry: Internet Marketplace Platforms
8.4x
I noticed that Branch's typical customers span an incredibly wide range, but they share a common thread: these are companies managing significant workforces who need their employees mobile and engaged. I see healthcare systems like Mount Sinai and Phoenix Children's with thousands of staff, hospitality companies like Atlantis Bahamas and Grupo Vidanta operating large resort properties, retail chains like 7 Brew Coffee expanding rapidly, and staffing firms like Allegiance and United Talent placing workers across multiple locations.
The stage signals are telling. I see established enterprises dominating this list. Companies with 1,000 plus employees, multiple locations, and decades of operating history. Parkview Health has been around since the early 1900s, Pioneer Telephone since 1953, and FrankCrum serves employers in over 40 states. Yes, there are some funded startups like Sanas and Khazna, but the overwhelming pattern is mature organizations with complex, distributed operations.
🔧 What other technologies do Branch customers also use?
Source: Analysis of tech stacks from 20,465 companies that use Branch
Commonly Paired Technologies
i
Shows how much more likely Branch customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Branch users are mobile-first companies with sophisticated growth and product operations. The strong presence of AppsFlyer and Branch together tells me these companies depend on mobile apps as their primary customer touchpoint. They're not just building apps as an afterthought, they're app-native businesses that need deep attribution and linking infrastructure to drive user acquisition and retention.
The pairing of AppsFlyer with Branch makes perfect sense because these companies need to track the complete user journey from ad click to app install to in-app conversion. Branch handles the deep linking that gets users to the right place in the app, while AppsFlyer measures which marketing channels actually drove those valuable actions. Amplitude appearing so frequently suggests these teams are obsessive about understanding user behavior patterns once people are in the app. They're not just counting installs, they're analyzing retention cohorts and feature adoption. The high correlation with PagerDuty tells me these apps need to stay online 24/7 because downtime directly impacts revenue.
The full stack reveals product-led growth companies in the scale-up phase. They've moved past scrappy startup mode (hence the investment in reliability tools like PagerDuty and infrastructure like Docker Hub) but they're still heavily focused on optimizing their user acquisition engine. The presence of Decagon AI, a customer support tool, suggests they're handling significant user volume and need automation. These companies likely have strong product analytics cultures where data informs decisions about everything from feature development to marketing spend.
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