We detected 1,069 customers using Cheq, 170 companies that churned or ended their trial, and 26 customers with estimated renewals in the next 3 months. The most common industry is Hospitals and Health Care (6%) and the most common company size is 51-200 employees (33%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can only detect companies that installed the Cheq script on their website and not companies using server-side log analysis or API-based integrations (rare)
About Cheq
Cheq protects digital customer journeys by using real-time traffic, identity, and threat intelligence to distinguish legitimate users from malicious actors including humans, AI agents, and bots. The platform secures marketing funnels, sales pipelines, and data systems from fraud, fake users, and invalid traffic across paid advertising channels.
🔧 What other technologies do Cheq customers also use?
Source: Analysis of tech stacks from 1,069 companies that use Cheq
Commonly Paired Technologies
i
Shows how much more likely Cheq 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 Cheq users are clearly digital advertising companies running sophisticated programmatic campaigns at scale. The overwhelming presence of demand-side platforms like TheTradeDesk, StackAdapt, and Simpli.fi tells me these are businesses spending serious money on programmatic advertising and display campaigns. They're not just dabbling in digital ads. They're running complex, multi-channel advertising operations that require protection from ad fraud and invalid traffic.
The pairing of Cheq with TheTradeDesk and StackAdapt makes perfect sense. These companies are buying ad inventory programmatically across multiple exchanges and need to ensure their spend isn't wasted on bot traffic or fraudulent impressions. The Braze correlation is particularly telling. Companies using Braze are running sophisticated lifecycle marketing campaigns, which means they care deeply about data quality throughout the entire customer journey. If fraudulent clicks are polluting their attribution data, their entire marketing automation strategy falls apart. The Pubmatic presence suggests many of these companies aren't just buying ads, they're also selling inventory, making fraud prevention even more critical to their business model.
This tech stack screams marketing-led growth companies, likely in growth or scale stages where advertising efficiency directly impacts their bottom line. They're past the early experimental phase and managing substantial ad budgets where even small improvements in fraud prevention translate to meaningful cost savings. These are data-driven organizations that understand the connection between clean traffic data and accurate performance measurement.
👥 What types of companies is most likely to use Cheq?
Source: Analysis of Linkedin bios of 1,069 companies that use Cheq
Company Characteristics
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Shows how much more likely Cheq 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: Banking
21.1x
Industry: Performing Arts
17.5x
Industry: Broadcast Media Production and Distribution
14.9x
Funding Stage: Grant
11.5x
Company Size: 1,001-5,000
5.2x
Country: US
4.8x
I noticed that Cheq's customer base is remarkably diverse in what they actually do, spanning from broadcast television stations and museums to insurance companies, healthcare providers, and performing arts centers. However, a clear pattern emerges: these are organizations that depend heavily on their digital presence and public-facing operations. Many are media companies producing and distributing content, cultural institutions engaging with communities, healthcare organizations serving patients, or retailers and service providers managing customer transactions online.
These are predominantly mature, established organizations rather than early-stage startups. The signals are clear: employee counts typically range from 50 to 500, with many operating for decades (some since the 1950s or earlier). Multiple locations, established market positions, and phrases like "for over 70 years" indicate stability. When funding information appears, it's usually grants or private equity rather than venture capital, reinforcing their mature status.
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