We detected 50,324 customers using CookieBot and 788 customers with estimated renewals in the next 3 months. The most common industry is Software Development (7%) and the most common company size is 51-200 employees (31%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We are unable to detect churned customers for this vendor, only new customers
About CookieBot
CookieBot scans websites to detect and categorize cookies and tracking technologies, then automatically blocks them until visitors provide consent. The consent management platform helps businesses comply with global data privacy regulations like GDPR, CCPA, and LGPD through automated scanning and customizable cookie banners.
📊 Who in an organization decides to buy or use CookieBot?
Source: Analysis of 100 job postings that mention CookieBot
Job titles that mention CookieBot
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Based on an analysis of job titles from postings that mention CookieBot.
Job Title
Share
Data Analyst
17%
Frontend Engineer
9%
Digital Marketing Specialist
7%
Product Manager
7%
My analysis shows that CookieBot purchasing decisions are primarily driven by digital analytics leadership (Analytics Directors, MarTech Directors) and technical product managers who oversee web platforms and compliance. These leaders represent about 7% of roles and focus on strategic priorities around privacy compliance, first-party data strategies, and measurement infrastructure. They're building privacy-conscious frameworks while maintaining marketing effectiveness at scale.
Day-to-day users span analytics specialists (17%), frontend engineers (9%), and digital marketers (7%) who implement and manage consent tracking. I noticed practitioners are responsible for configuring CookieBot alongside tools like Google Tag Manager and Analytics platforms, managing cookie categorization, implementing consent banners that comply with GDPR and regional privacy laws, and ensuring accurate data collection across web and mobile properties. These technical implementers validate tracking accuracy and troubleshoot discrepancies in reporting.
The core pain points center on balancing growth with compliance. Companies repeatedly mention needing to create "privacy-led marketing solutions," establish "privacy-conscious tracking frameworks," and ensure "strict adherence to data privacy regulations and best practices." One posting explicitly seeks someone to "translate business needs into actionable solutions, ensuring data accuracy, consistency, and strict adherence to data privacy regulations." Another emphasizes building solutions where "there is no need for a trade-off between growth and privacy compliance." These organizations want to activate marketing data effectively while maintaining user trust and regulatory compliance across global markets.
🔧 What other technologies do CookieBot customers also use?
Source: Analysis of tech stacks from 50,324 companies that use CookieBot
Commonly Paired Technologies
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Shows how much more likely CookieBot 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 CookieBot users are primarily marketing-driven B2B companies with sophisticated digital presences. The combination of Yoast, Google Search Console, and HubSpot Marketing Hub tells me these companies invest heavily in organic search and content marketing as their primary customer acquisition channel. They're building authority through SEO rather than relying solely on paid advertising.
The pairing of Yoast and Google Search Console makes perfect sense for companies serious about search visibility. They're not just publishing content but actively monitoring and optimizing their search performance. The extremely high correlation with HubSpot Marketing Hub and LinkedIn Ads suggests these are B2B companies running full-funnel marketing campaigns that start with content discovery and nurture leads through sophisticated marketing automation. Microsoft Clarity appearing so frequently indicates they're constantly testing and optimizing their website experience, likely because their site is doing heavy lifting in the conversion process.
My analysis shows these are marketing-led organizations, probably in the scale-up phase where they've found product-market fit and are now investing in repeatable growth channels. The presence of Intune suggests they have mature IT operations and care about compliance, which aligns with why they'd choose CookieBot in the first place. They're past the startup stage where compliance is an afterthought. These companies likely have dedicated marketing teams managing multiple channels and tools, with enough traffic and leads that proper consent management actually matters to their operations.
👥 What types of companies is most likely to use CookieBot?
Source: Analysis of Linkedin bios of 50,324 companies that use CookieBot
Company Characteristics
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Shows how much more likely CookieBot 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
Country: DK
17.4x
Country: FI
16.4x
Country: SE
11.4x
Funding Stage: Post IPO debt
11.0x
Funding Stage: Private equity
9.2x
Funding Stage: Equity crowdfunding
8.0x
I noticed that CookieBot users are incredibly diverse in what they actually do. This isn't a tool for one vertical. I'm seeing everything from healthcare staffing platforms like Nomad Health to thermal spas in France, from cruise booking agencies to industrial CT scanner manufacturers like Lumafield. What unites them is that they all have a digital presence where customer data flows through, whether they're selling salon management software, manufacturing bathroom fittings, or running music festivals in Denmark.
These are predominantly established, mid-market companies. The employee counts cluster heavily in the 11-200 range, with many falling in that 50-200 sweet spot. Most don't list funding stages at all, suggesting they're profitable, organically grown businesses rather than venture-backed startups. When funding is mentioned, it's often Series A or later, meaning they've moved past the experimental phase. The language is mature too: talking about decades of experience, established customer bases, and systematic processes.
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