We detected 284 customers using Propensity, 68 companies that churned or ended their trial, and 28 customers with estimated renewals in the next 3 months. The most common industry is Software Development (25%) and the most common company size is 51-200 employees (39%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
👥 What types of companies is most likely to use Propensity?
Source: Analysis of Linkedin bios of 284 companies that use Propensity
Company Characteristics
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Shows how much more likely Propensity 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: Software Development
8.3x
Country: US
2.8x
Company Size: 51-200
2.4x
I noticed that Propensity's customers span a remarkably wide range of industries, but they share a common thread: they're primarily B2B companies selling complex services or solutions that require significant customer education and relationship building. I see IT services firms, healthcare technology platforms, professional services companies, staffing agencies, SaaS providers, and specialized manufacturers. What strikes me is that these aren't simple transactional businesses. They're selling enterprise software implementations, managed services contracts, staffing solutions, or sophisticated technology platforms where the sales cycle is long and the buying decision involves multiple stakeholders.
These companies are predominantly in the growth to mature enterprise stage. The employee counts cluster heavily in the 50-500 range, with some larger enterprises mixed in. Many have secured Series A through Series D funding, suggesting they've proven product-market fit and are scaling. The presence of private equity backing in several cases indicates mature revenue streams. Very few are early-stage startups, most have significant operational complexity with multiple offices, established client bases, and proven track records spanning years or decades.
A salesperson should understand that Propensity's customers are typically mid-market to enterprise B2B companies with complex sales processes who need to identify and engage the right decision-makers efficiently. They're sophisticated enough to value data-driven prospecting but still building or refining their go-to-market engines as they scale.
🔧 What other technologies do Propensity customers also use?
Source: Analysis of tech stacks from 284 companies that use Propensity
Commonly Paired Technologies
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Shows how much more likely Propensity 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 Propensity are clearly B2B organizations with sophisticated, data-driven sales and marketing operations. The overwhelming presence of ZoomInfo, LinkedIn Ads, and HubSpot Marketing Hub tells me these are companies that invest heavily in identifying, targeting, and nurturing business buyers through digital channels. They're not waiting for inbound leads. They're actively hunting for the right prospects.
The pairing of ZoomInfo with Propensity makes perfect sense for account-based strategies. ZoomInfo provides the contact data and company intelligence, while Propensity likely helps them understand buying signals and intent. Similarly, the strong correlation with Factors.ai (despite the smaller sample size) suggests these companies are tracking multiple touchpoints to understand customer journeys. They want to know which accounts are engaging and when they're ready to buy. The HubSpot Conversations correlation indicates they're closing the loop with real-time engagement, turning insights into conversations quickly.
My analysis shows these are sales-led organizations, probably in the growth stage where they've moved beyond founder-led sales but haven't yet reached enterprise scale. The presence of Drata, a compliance automation tool, hints that many are selling to regulated industries or need SOC 2 certification to close deals. They're mature enough to need structured compliance but still small enough that a tool like Drata makes sense. The tech stack screams "we have a dedicated revenue operations team coordinating between sales, marketing, and customer success."
For salespeople, this means Propensity's typical customer already understands the value of data and intent signals. They're not starting from zero on account-based approaches. They're looking to enhance what they're already doing, probably because they've hit limitations with their current setup or need better integration between their prospecting, advertising, and CRM systems.
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