We detected 604 customers using Warmly, 892 companies that churned or ended their trial, and 65 customers with estimated renewals in the next 3 months. The most common industry is Software Development (39%) and the most common company size is 11-50 employees (40%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the Warmly tracking script on their website (majority of customers)
About Warmly
Warmly identifies and de-anonymizes website visitors in real time, monitors person-level buying intent signals across multiple channels, and automatically engages high-intent prospects through AI-powered chat, email, or LinkedIn outreach to drive qualified sales conversations.
🔧 What other technologies do Warmly customers also use?
Source: Analysis of tech stacks from 604 companies that use Warmly
Commonly Paired Technologies
i
Shows how much more likely Warmly 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 Warmly users are building aggressive outbound sales engines focused on identifying and immediately engaging website visitors. The extreme correlation with tools like RB2B, Apollo's visitor tracker, and Clearbit tells me these companies are obsessed with capturing buying intent the moment it appears. They're not waiting for forms to be filled out. They want to know who's browsing their site right now and reach out instantly.
The pairing of Apollo's visitor tracker with Warmly makes perfect sense for a "strike while the iron is hot" strategy. Someone visits your pricing page, Apollo identifies the company, and Warmly enables immediate outreach while that person is still engaged. Adding RB2B into the mix, which also focuses on visitor identification, suggests these companies are doubling down on this approach and likely testing multiple de-anonymization tools to maximize coverage. The presence of Clearbit reinforces this, as it provides the enrichment data needed to personalize those instant touches. Vector.co appearing so frequently is interesting because it's another signal orchestration tool, which tells me these companies are building complex workflows that trigger actions based on multiple intent signals, not just single events.
My analysis shows these are clearly sales-led organizations, likely in the growth stage where they've found product-market fit and are scaling their go-to-market motion. They're sophisticated enough to stitch together multiple tools but probably don't have enterprise-level marketing automation yet. They're prioritizing speed to lead and conversion rate optimization over top-of-funnel volume.
👥 What types of companies is most likely to use Warmly?
Source: Analysis of Linkedin bios of 604 companies that use Warmly
Company Characteristics
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Shows how much more likely Warmly 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 A
47.2x
Funding Stage: Series unknown
29.1x
Funding Stage: Pre seed
27.4x
Industry: Software Development
15.6x
Industry: Technology, Information and Internet
6.1x
Industry: Financial Services
4.3x
I noticed that Warmly's users span a fascinating range of B2B companies, but they share a common thread: they're selling complex solutions that require human relationships to close deals. These aren't impulse purchases. I'm seeing software platforms (data analytics, AI tools, security solutions), professional services firms (marketing agencies, IT consultancies, recruiting), and specialized B2B service providers (mortgage lenders, payment processors, supply chain tech). What unites them is that their sales cycles involve education, trust-building, and multiple stakeholder conversations.
The funding and size signals tell an interesting story. I'm seeing a concentration of Series A to Series C companies (roughly 20-25 fall in this range), alongside established players with 50-500 employees who've been around for years but are still growth-focused. The employee counts cluster around 11-200, which is that critical scaling phase where companies are professionalizing sales but haven't yet built massive enterprise sales machines.
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