We detected 101 companies using Raffle.ai, 16 companies that churned, and 7 customers with upcoming renewal in the next 3 months. The most common industry is Utilities (14%) and the most common company size is 51-200 employees (42%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Source: Analysis of Linkedin bios of 101 companies that use Raffle.ai
Company Characteristics
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Shows how much more likely Raffle.ai 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: Denmark
287.2x
Industry: Utilities
141.2x
Country: Norway
87.9x
Industry: Government Administration
52.0x
Company Size: 1,001-5,000
29.2x
Company Size: 501-1,000
8.5x
I noticed that Raffle.ai's customers are overwhelmingly public sector organizations and utility companies across Scandinavia, particularly in Denmark and Norway. About half are municipal governments (kommuner) providing essential services to citizens, from schools and healthcare to infrastructure. The other half are utility companies managing water, wastewater, district heating, and energy distribution. There's also a meaningful presence of membership organizations, museums, and educational institutions. These aren't tech companies or startups selling software. They're organizations responsible for keeping society running.
These are definitively mature, established organizations. The municipal governments have existed for decades or centuries. The utility companies describe operations spanning 50-75+ years. Employee counts typically range from 50 to several thousand. There's no mention of funding rounds, growth stages, or venture capital anywhere. These organizations talk about stability, long-term planning, and incremental improvement rather than disruption or rapid scaling.
๐ง What other technologies do Raffle.ai customers also use?
Source: Analysis of tech stacks from 101 companies that use Raffle.ai
Commonly Paired Technologies
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Shows how much more likely Raffle.ai 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 companies using Raffle.ai are heavily focused on privacy compliance and data governance, particularly in European markets. The overwhelming presence of Cookie Information, which appears 924 times more frequently than average, combined with Piwik Pro and SiteImprove, tells me these are organizations operating under strict data protection regulations like GDPR. They're likely mid-to-large enterprises in regulated industries where customer data handling is both critical and heavily scrutinized.
The combination of Cookie Information with GlobalSign makes perfect sense for companies running consent-driven marketing operations. They need to secure customer data transmission while simultaneously managing detailed consent preferences across their digital properties. Adding Piwik Pro into this mix suggests they've moved away from traditional analytics platforms in favor of privacy-first alternatives that keep data on their own servers. When I see Acquia Optimize appearing 816 times more often, it indicates these companies are running sophisticated content personalization programs while still maintaining compliance, which is exactly what you'd need if you're doing engagement-focused campaigns with Raffle.ai.
My analysis shows these are definitively marketing-led organizations at the growth or mature stage. They're not startups cobbling together basic tools. Instead, they've invested in enterprise-grade compliance infrastructure, suggesting they have substantial customer databases and the budget to protect them properly. The presence of SiteImprove indicates they're also obsessed with web governance and accessibility, another sign of mature marketing operations with dedicated digital experience teams.
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