Companies that use Delivr.ai

Based on an analysis of Linkedin bios of random companies that use Delivr.ai

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 language patterns are striking. These companies obsessively describe themselves as transforming, revolutionizing, or empowering their customers. I saw phrases like "empower teams to," "built for," "trusted by," and "designed specifically for" appearing constantly. They position themselves as category leaders or innovators: "the only platform," "the gold standard," "revolutionizing the landscape." Many emphasize speed and efficiency gains with specific metrics: "100x faster," "19+ hours saved per week," "1,500+ hours of research per day." They're quantifying everything to prove ROI.

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.

A salesperson should understand these buyers are experiencing growing pains in their customer communication. They're sophisticated enough to have complex products but still lean enough that manual processes hurt. They speak the language of efficiency, automation, and measurable outcomes. They're likely evaluating multiple tools simultaneously and will expect Delivr.ai to integrate into their existing stack and prove value quickly with concrete metrics.

Based on an analysis of tech stacks from companies that use Delivr.ai

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.

A salesperson approaching Delivr.ai users should understand they're talking to sophisticated buyers who care deeply about ROI and measurement. These companies won't be impressed by feature lists. They want to know how Delivr.ai integrates with their existing attribution stack and contributes to pipeline, not just activity metrics.