We detected 286 companies using ProfitMetrics.io, 239 companies that churned, and 19 customers with upcoming renewal in the next 3 months. The most common industry is Retail (60%) and the most common company size is 2-10 employees (68%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Note: We can't detect companies using ProfitMetrics.io in server-side only implementations or headless storefronts (edge cases)
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
๐ข Top Industries
Retail138 (60%)
Retail Apparel and Fashion16 (7%)
Furniture and Home Furnishings Manufacturing7 (3%)
Manufacturing7 (3%)
Sporting Goods Manufacturing6 (3%)
๐ Company Size Distribution
2-10 employees193 (68%)
11-50 employees53 (19%)
51-200 employees27 (9%)
201-500 employees6 (2%)
501-1,000 employees3 (1%)
๐ฅ What types of companies use ProfitMetrics.io?
Source: Analysis of Linkedin bios of 286 companies that use ProfitMetrics.io
Company Characteristics
i
Shows how much more likely ProfitMetrics.io 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
67.1x
Industry: Sporting Goods Manufacturing
46.0x
Industry: Retail Apparel and Fashion
26.5x
Industry: Retail
24.7x
Country: Netherlands
6.7x
Country: United Kingdom
3.0x
I noticed that ProfitMetrics.io's customers are predominantly consumer-facing retail and e-commerce businesses selling physical products. These aren't software companies or B2B service providers. They're selling apparel, home goods, sporting equipment, jewelry, furniture, baby products, health supplements, and lifestyle accessories. Many operate both online stores and physical retail locations, though the emphasis is clearly on direct-to-consumer sales channels.
These are established small to mid-size businesses, not early-stage startups. The employee counts cluster heavily in the 2-50 range, with some reaching 50-200. Very few list funding stages, and when they do it's outliers like Simba Sleep at Series C. Most describe decades of operation (Silkeborg Uldspinderi traces back to 1947, NIELSENs started in 1961). They're past the survival stage and focused on operational efficiency and profitable growth, not venture scaling.
๐ง What other technologies do ProfitMetrics.io customers also use?
Source: Analysis of tech stacks from 286 companies that use ProfitMetrics.io
Commonly Paired Technologies
i
Shows how much more likely ProfitMetrics.io 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 ProfitMetrics.io users are overwhelmingly e-commerce companies, specifically those running Shopify stores with sophisticated marketing and customer communication strategies. The presence of Shopify in nearly 300 companies, combined with Klaviyo's strong showing, tells me these are direct-to-consumer brands focused on email marketing and customer lifetime value optimization. They're not just selling products online, they're building retention-focused businesses that need granular profit analytics.
The pairing of Klaviyo and ProfitMetrics.io makes perfect sense because Klaviyo users are obsessive about email performance and customer segmentation, so they naturally want profit metrics to understand which campaigns and customer segments actually drive bottom-line results, not just revenue. Reviews.io appearing 200 times more frequently suggests these companies are building trust and social proof as core parts of their conversion strategy. Langshop's presence, despite the smaller numbers, indicates many of these stores operate internationally and need multi-language capabilities to scale globally.
My analysis shows these are marketing-led businesses, likely in growth or scale-up stages. They've moved past the scrappy startup phase where any revenue is good revenue and now need to understand unit economics and true profitability. The tools suggest they're spending significantly on paid acquisition through Klaviyo flows and need to justify that spend with profit data, not vanity metrics. Cookie Information appearing so frequently tells me many are European-focused or serving EU customers, adding compliance complexity to their operations.
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