We detected 195 customers using Salespanel, 36 companies that churned or ended their trial, and 3 customers with estimated renewals in the next 3 months. The most common industry is IT Services and IT Consulting (15%) and the most common company size is 11-50 employees (41%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
👥 What types of companies is most likely to use Salespanel?
Source: Analysis of Linkedin bios of 195 companies that use Salespanel
Company Characteristics
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Shows how much more likely Salespanel 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: IT Services and IT Consulting
7.3x
Company Size: 51-200
4.3x
Country: US
2.4x
Company Size: 11-50
2.2x
I noticed that Salespanel's customers span an incredibly wide range of industries, but they share a common thread: they're B2B companies with complex sales processes. These aren't consumer brands or simple transactional businesses. I'm seeing software developers building enterprise solutions, specialized manufacturers creating industrial equipment, professional service firms offering consulting, and membership associations serving niche industries. What unites them is that they all need to understand and nurture leads over longer sales cycles, whether they're selling "tailored BPA solutions," providing "mission-critical software technology," or delivering "comprehensive bespoke business process management solutions."
These are predominantly growth-stage and mature B2B companies. The employee counts cluster around 50 to 500, with many in the 100 to 300 range. Very few are early-stage startups. Most have been operating for years or decades, evidenced by phrases like "founded in 1998," "25 years of experience," and "established ourselves as leaders." Even the funded companies are typically Series B or beyond, not seed stage.
A salesperson should understand that Salespanel's buyers are established B2B operators who already grasp the value of lead intelligence. They're not evangelizing the category, they're solving for attribution, pipeline visibility, and sales efficiency in organizations complex enough to need it but pragmatic enough to want something that works without enterprise-level implementation headaches.
🔧 What other technologies do Salespanel customers also use?
Source: Analysis of tech stacks from 195 companies that use Salespanel
Commonly Paired Technologies
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Shows how much more likely Salespanel 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 something striking about Salespanel users: they're absolutely obsessed with visitor identification and lead intelligence. Every single top correlation is a tool designed to unmask anonymous website visitors and convert them into actionable leads. These companies aren't just casually interested in knowing who visits their site. They're running multiple competing or complementary solutions simultaneously, which tells me they've built their entire go-to-market strategy around identifying and engaging businesses that show interest but haven't converted yet.
The pattern becomes even clearer when I look at specific pairings. Companies using both Salespanel and Lead Feeder (appearing together 196 times more than expected) are clearly betting big on account-based strategies. They're likely dealing with longer sales cycles where a single visit isn't enough, so they need persistent tracking across multiple sessions. The presence of Factors.ai alongside Salespanel suggests these companies want to go beyond basic identification. They're analyzing account-level engagement signals and building sophisticated scoring models. AppNexus in the mix indicates they're also running programmatic advertising campaigns, probably retargeting identified accounts.
My analysis shows these are definitely sales-led B2B companies, likely in the growth stage where they've found product-market fit but need to scale efficiently. They can't afford to waste time on unqualified leads, so they've invested heavily in intelligence tools to prioritize accounts showing genuine buying intent. The redundancy in their stack suggests they're comparing tools or hedging their bets on accuracy.
A salesperson approaching these companies should understand they're talking to sophisticated demand generation teams who live and breathe conversion optimization. These buyers already understand the value of visitor identification. They'll want to discuss accuracy rates, integration capabilities, and how your solution fits into a complex martech ecosystem where they're likely already running similar tools.
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