We detected 588 customers using Birdeye and 16 customers with estimated renewals in the next 3 months. The most common industry is Hospitals and Health Care (11%) and the most common company size is 51-200 employees (34%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We are unable to detect churned customers for this vendor, only new customers
About Birdeye
Birdeye provides an agentic marketing platform for multi-location brands that deploys custom AI agents to manage online reputation, engage customers across social media and search, respond to reviews, maintain listings, and deliver real-time insights into customer sentiment and competitor activity to boost leads, increase foot traffic, and drive revenue growth.
🔧 What other technologies do Birdeye customers also use?
Source: Analysis of tech stacks from 588 companies that use Birdeye
Commonly Paired Technologies
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Shows how much more likely Birdeye 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 Birdeye users are primarily local or multi-location businesses that depend heavily on tracking their marketing effectiveness, especially phone calls. The strong presence of CallRail and CallTrackingMetrics tells me these companies run paid advertising campaigns where phone calls are the primary conversion event. They're not selling software or e-commerce products. They're service businesses where customers pick up the phone to book appointments or request quotes.
The pairing of call tracking tools with Birdeye makes perfect sense because these companies need to understand which marketing channels drive phone inquiries, and then they need Birdeye to manage the reviews and reputation that come from those customer interactions. The high correlation with Yoast shows they're investing in local SEO to be found in their markets. TVSquared's presence, though in fewer companies, suggests some are sophisticated enough to track offline TV advertising performance. These aren't startups experimenting with growth hacks. They're established businesses running integrated campaigns across multiple channels and needing to prove ROI on every dollar spent.
My analysis reveals these are marketing-led organizations, likely past the early stage and into growth or maturity. They have dedicated marketing budgets and enough customer volume to justify specialized tools for call tracking and reputation management. They're probably franchises, home services companies, healthcare practices, or automotive dealerships. The presence of Google Analytics alongside specialized tracking tools shows they're data-driven but focused on traditional conversion metrics, not product usage or viral loops.
👥 What types of companies is most likely to use Birdeye?
Source: Analysis of Linkedin bios of 588 companies that use Birdeye
Company Characteristics
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Shows how much more likely Birdeye 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
Industry: Mental Health Care
21.4x
Industry: Medical Practices
19.2x
Industry: Consumer Services
13.4x
Company Size: 1,001-5,000
8.8x
Country: US
6.3x
Company Size: 51-200
5.9x
I noticed that Birdeye's typical customers are overwhelmingly local service businesses that operate physical locations where they interact directly with consumers. These aren't software companies or manufacturers selling through distributors. They're automotive repair shops, dental and eye clinics, tire centers, construction companies, real estate agencies, swim schools, pet care facilities, and restaurants. What they all share is a need to attract local customers who make decisions based on reputation and reviews. They're the kinds of businesses where a single negative Google review can meaningfully impact revenue.
These are established, mature businesses, not startups. The employee counts cluster heavily in the 11-200 range, with many operating multiple locations. I saw very few venture-backed companies and almost no recent funding announcements. Instead, I noticed founding dates going back to the 1960s, 70s, and 80s. Several have private equity backing, suggesting consolidation plays in fragmented service industries. These are profitable businesses investing in technology to protect and grow market share, not burning cash to find product-market fit.
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