We detected 1,841 customers using Snitcher, 506 companies that churned or ended their trial, and 94 customers with estimated renewals in the next 3 months. The most common industry is Software Development (21%) and the most common company size is 11-50 employees (46%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the Snitcher tracking script on their website (majority of customers)
About Snitcher
Snitcher identifies anonymous B2B website visitors by tracking IP addresses and matching them to companies in real time, then enriches these leads with firmographic data and integrates with go-to-market systems to trigger automated outreach the moment high-intent accounts show interest.
🔧 What other technologies do Snitcher customers also use?
Source: Analysis of tech stacks from 1,841 companies that use Snitcher
Commonly Paired Technologies
i
Shows how much more likely Snitcher 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 Snitcher users are heavily focused on identifying anonymous website visitors, which tells me these are B2B companies obsessed with turning traffic into named accounts. The clustering of Lead Feeder, Albacross, VisitorQueue, and Apollo.io's visitor tracker is striking. These companies aren't just using one visitor identification tool, they're often stacking multiple solutions, which suggests they're either testing different platforms or using them for different regional markets or data sources.
The pairing of these visitor ID tools with LinkedIn Ads is particularly revealing. These companies are running targeted LinkedIn campaigns to drive traffic, then immediately trying to identify which companies visited as a result. It's a classic account-based marketing workflow: advertise to specific accounts, track who responds, and route qualified visitors to sales. The fact that Vector.co appears so frequently reinforces this. Vector is focused on conversion optimization, so these companies are thinking about the full funnel from ad click to visitor identification to conversion.
My analysis shows these are sales-led B2B companies, likely in the growth stage where they've proven product-market fit and are now scaling their pipeline generation. They're willing to invest in multiple identification tools because they need volume and coverage. These aren't early startups experimenting with one tool, and they're not massive enterprises with fully built-out intent data platforms. They're in that middle phase where outbound sales is critical and every identified visitor represents potential pipeline.
👥 What types of companies is most likely to use Snitcher?
Source: Analysis of Linkedin bios of 1,841 companies that use Snitcher
Company Characteristics
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Shows how much more likely Snitcher 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: Seed
21.9x
Funding Stage: Series A
21.0x
Funding Stage: Pre seed
18.6x
Industry: Software Development
11.7x
Industry: Computer and Network Security
10.2x
Country: FI
8.6x
I noticed that Snitcher's typical customers are B2B companies building or selling specialized solutions that require explaining complex value propositions. These aren't consumer brands or simple product companies. They're software developers creating SaaS platforms for niche markets (compliance automation, data observability, supply chain planning), professional service firms offering technical expertise (marketing agencies, IT consultancies, software development shops), and specialized manufacturers making equipment for specific industries (packaging machinery, electrical components, industrial automation). What connects them is that they all need to educate prospects about problems and solutions before making a sale.
These companies span the growth spectrum, but most sit in that challenging middle zone. I see Series A to Series C startups (EasyDMARC, Crossbeam, Skello), bootstrapped companies with 10-200 employees scaling without outside capital, and established SMBs with decades of history but still under 500 people. Very few are either tiny pre-seed operations or massive enterprises. The 11-200 employee range dominates, which tells me these are companies past the founder-led sales stage but not yet running on pure brand recognition.
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