We detected 51 customers using Delivr.ai, 60 companies that churned or ended their trial, and 11 customers with estimated renewals in the next 3 months. The most common industry is Software Development (32%) and the most common company size is 11-50 employees (36%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the Delivr.ai tracking script on their website (majority of customers)
About Delivr.ai
Delivr.ai provides identity resolution and audience activation by deanonymizing website traffic and matching anonymous visitors to full buyer profiles with contact information and firmographic data. The platform uses AI-driven intent scoring to help businesses identify and target conversion-ready prospects across multiple marketing channels.
🔧 What other technologies do Delivr.ai customers also use?
Source: Analysis of tech stacks from 51 companies that use Delivr.ai
Commonly Paired Technologies
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Shows how much more likely Delivr.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 Delivr.ai users have tech stacks that scream B2B growth company with a sophisticated, data-driven approach to revenue. The combination of visitor identification tools like RB2B, attribution platforms like Factors.ai, and compliance software like Vanta tells me these are venture-backed startups building modern go-to-market engines. They're not just sending emails and hoping for the best. They're tracking every touchpoint in the buyer journey.
The pairing of RB2B and Factors.ai is particularly telling. RB2B identifies anonymous website visitors while Factors.ai tracks which marketing activities actually drive pipeline. Together, they suggest a company obsessed with understanding who's in-market before they fill out a form. Adding Delivr.ai to this mix makes perfect sense because once you know who's visiting your site, you need a way to reach them with personalized outreach at scale. Ashby appearing in the stack also caught my attention. It's a high-end recruiting platform, which signals these companies are in aggressive hiring mode and want modern, efficient systems across the board.
The full picture reveals marketing-led companies that are probably Series A or B stage. They've graduated from basic tools but aren't using enterprise-grade solutions yet. They're in that sweet spot where they have budget to invest in their tech stack but still need to prove efficient growth. The emphasis on attribution and visitor identification over traditional sales tools like Outreach or Salesloft suggests they believe in generating demand and warming up prospects before sales gets involved.
👥 What types of companies is most likely to use Delivr.ai?
Source: Analysis of Linkedin bios of 51 companies that use Delivr.ai
Company Characteristics
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Shows how much more likely Delivr.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
Country: US
5.9x
Company Size: 11-50
3.0x
I analyzed these 59 companies and found that Delivr.ai's typical customer operates in B2B software, financial services, consulting, or specialized industrial services. They're not consumer brands. Most are technology companies selling to other businesses: compliance platforms, data analytics tools, sales enablement software, cybersecurity solutions, and vertical SaaS products. The non-tech users tend to be specialized service providers like equipment financing, property management, or environmental services that need to communicate complex value propositions.
The funding and size data reveals these are predominantly growth-stage companies. Most have 11-200 employees, with a cluster in the 20-50 range. Many have raised Series A or seed funding, though there's a meaningful mix of bootstrapped companies and a few larger players in the 200-500 range. Very few are true early-stage pre-seed startups or mature enterprises above 1,000 employees. They're in that crucial scaling phase where they've proven product-market fit and need to professionalizes their go-to-market motion.
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