Companies that use Snitcher

Analyzed and validated by Henley Wing Chiu

Snitcher We detected 1,767 customers using Snitcher, 487 companies that churned or ended their trial, and 82 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.

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Company Domain Employees Industry Region YoY Headcount Growth Usage Start Date
Blue Street Data 11–50 Technology, Information and Media US N/A 2025-12-09
Clarity 51–200 Software Development IL +15.8% 2025-12-08
WebiMax 11–50 Advertising Services US -11.1% 2025-12-08
Synapsa 2–10 Software Development US +12.5% 2025-12-08
Horizon 2–10 Software Development BE +33.3% 2025-12-07
Bluenote 11–50 Software Development N/A +200% 2025-12-07
Paddock Pool Equipment Company 51–200 Recreational Facilities US +17.9% 2025-12-07
Data Octopus 2–10 Advertising Services PL +20% 2025-12-07
DHRP 51–200 IT Services and IT Consulting AU -1.3% 2025-12-07
Biorius - Your Cosmetic Regulatory Expert 51–200 Business Consulting and Services BE +2.2% 2025-12-07
WeWantMore 11–50 Design Services BE +11.4% 2025-12-07
Parakeet Risk 2–10 Technology, Information and Internet US +20% 2025-12-07
Goals.com 2–10 Software Development US -22.2% 2025-12-06
Beneco|SoOPAK-Custom Printing Packaging 11–50 Packaging and Containers Manufacturing CA +37.8% 2025-12-06
Bell Integration 501–1,000 IT Services and IT Consulting GB +25.8% 2025-12-06
ImageX 51–200 IT Services and IT Consulting CA -2.8% 2025-12-05
CleanShopping 11–50 Facilities Services NL N/A 2025-12-05
Blissim 51–200 Retail FR -9.9% 2025-12-05
VictoriaMetrics 51–200 Software Development US +48.4% 2025-12-05
Scherzer International 51–200 Security and Investigations US -1.6% 2025-12-04
Showing 1-20 of 1,767

Market Insights

🏢 Top Industries

Software Development 344 (21%)
IT Services and IT Consulting 216 (13%)
Advertising Services 125 (8%)
Technology, Information and Internet 108 (7%)
Financial Services 64 (4%)

📏 Company Size Distribution

11-50 employees 788 (46%)
51-200 employees 527 (31%)
2-10 employees 210 (12%)
201-500 employees 111 (6%)
501-1,000 employees 36 (2%)

👥 What types of companies is most likely to use Snitcher?

Source: Analysis of Linkedin bios of 1,767 companies that use Snitcher

Company Characteristics
i
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.

A salesperson should understand that Snitcher customers are hunting for qualified leads in complex B2B sales cycles where education matters and deal sizes justify the effort of identifying and nurturing website visitors who aren't yet filling out forms.

🔧 What other technologies do Snitcher customers also use?

Source: Analysis of tech stacks from 1,767 companies that use Snitcher

Commonly Paired Technologies
i
Technology
Likelihood
305.5x
292.2x
202.4x
134.4x
123.2x
29.0x
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.

A salesperson approaching Snitcher's typical customer should understand they're talking to someone who already believes in visitor identification and likely has budget allocated for it. The conversation isn't about explaining the category, it's about differentiation, data quality, regional coverage, and integration capabilities. These buyers are sophisticated and comparison shopping across similar tools.

More sales intelligence for visitor identification Tools

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