We detected 601 customers using Customers.ai, 122 companies that churned or ended their trial, and 52 customers with estimated renewals in the next 3 months. The most common industry is Retail (26%) and the most common company size is 2-10 employees (44%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the Customers.ai tracking script on their website (majority of customers)
About Customers.ai
Customers.ai identifies anonymous website visitors and provides B2C and B2B prospecting data to help businesses reach potential customers through email, SMS, Instagram, Facebook Messenger, website chat, and WhatsApp.
🔧 What other technologies do Customers.ai customers also use?
Source: Analysis of tech stacks from 601 companies that use Customers.ai
Commonly Paired Technologies
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Shows how much more likely Customers.ai 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 companies using Customers.ai are predominantly ecommerce businesses with sophisticated email and SMS marketing operations. The presence of tools like LiveIntent, Attentive, and Triple Whale tells me these are direct-to-consumer brands that rely heavily on owned channel marketing and need granular performance tracking across their digital spend.
The pairing with LiveIntent is particularly revealing since it's an email monetization platform, suggesting these companies view their email lists as revenue-generating assets beyond just customer communication. Attentive's strong correlation makes perfect sense alongside Customers.ai because both focus on capturing and converting anonymous website visitors, with Attentive handling SMS while Customers.ai focuses on messenger and chatbot channels. Triple Whale appearing frequently indicates these brands are data-obsessed and need unified dashboards to track customer acquisition costs and lifetime value across multiple platforms. They're running complex multi-channel campaigns and need to understand attribution clearly.
The full tech stack reveals marketing-led organizations that prioritize customer acquisition and retention through owned channels rather than depending on paid advertising alone. These appear to be growth-stage DTC companies, past the earliest startup phase but still aggressively scaling. They're investing in tools that help them build direct relationships with customers and reduce dependency on platforms like Facebook or Google. The emphasis on visitor identification, email and SMS marketing, and analytics suggests they understand their margins and are working to maximize the value of every site visitor.
👥 What types of companies is most likely to use Customers.ai?
Source: Analysis of Linkedin bios of 601 companies that use Customers.ai
Company Characteristics
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Shows how much more likely Customers.ai 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: Retail Apparel and Fashion
19.8x
Funding Stage: Seed
9.5x
Industry: Retail
5.5x
Industry: Advertising Services
3.8x
Country: US
3.7x
Company Size: 201-500
1.9x
I noticed that Customers.ai attracts a fascinating mix of direct-to-consumer brands and service businesses that live at the intersection of digital and physical commerce. These companies sell everything from silicone rings and matcha powder to luxury toilets and cold plunge tubs. What unites them is their focus on selling tangible products or experiences directly to consumers, whether through e-commerce, retail locations, or both channels. I saw manufacturers, specialty retailers, wellness brands, food and beverage companies, and lifestyle product makers. They're the kind of businesses where every customer conversation matters and repeat purchases drive growth.
These companies span the growth spectrum, but most fall into the scaling phase. I saw employee counts clustering around 11-50 and 51-200, with revenues likely in the $5-50 million range. Very few had recent funding rounds listed, suggesting they're bootstrapped or profitably growing. They're past the scrappy startup phase but haven't reached enterprise scale. They have real traction, established brands, and proven products, but they're hungry for more efficient growth.
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