We detected 97,255 companies using Klaviyo Analytics, 8,450 companies that churned, and 2,032 customers with upcoming renewal in the next 3 months. The most common industry is Retail (62%) and the most common company size is 2-10 employees (73%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Note: We track companies that use Klaviyo for Analytics. We track companies that use Klaviyo for marketing automation here
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
🏢 Top Industries
Retail54714 (62%)
Retail Apparel and Fashion4994 (6%)
Food and Beverage Services2551 (3%)
Manufacturing2450 (3%)
Wellness and Fitness Services1929 (2%)
📏 Company Size Distribution
2-10 employees70612 (73%)
11-50 employees15279 (16%)
51-200 employees6744 (7%)
201-500 employees1842 (2%)
1 employee employees874 (1%)
👥 What types of companies are companies that use Klaviyo Analytics?
Source: Analysis of Linkedin bios of 97,255 companies that use Klaviyo Analytics
Company Characteristics
i
Shows how much more likely Klaviyo Analytics 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
Funding Stage: Product crowdfunding
27.3x
Industry: Retail Apparel and Fashion
17.5x
Industry: Apparel & Fashion
17.5x
Industry: Sporting Goods Manufacturing
16.5x
Funding Stage: Equity crowdfunding
14.5x
Funding Stage: Angel
5.0x
I noticed that Klaviyo Analytics users are predominantly direct-to-consumer retail and ecommerce companies selling physical products. These aren't SaaS platforms or service businesses. They're moving tangible goods: apparel brands like Southern Saint and Urban Expressions, specialty food companies like Hickory Farms, wellness products from BioCare and Prana Pets, home goods from Caracole and CAGUUU, and niche sporting equipment from companies like Moloko Cycling. Even the less obvious ones, like Simon Sinek's company, sell books and merchandise directly to consumers.
These are mostly small to mid-sized growth companies. The employee counts cluster heavily in the 2-50 range, with occasional outliers like bareMinerals at 1,000 plus employees. Most show no funding data or modest early-stage rounds, like Moloko Cycling's 166K equity crowdfunding or RECOVER 180's 1.8M Series unknown. They're past the garage startup phase but still owner-operated or family-run, like Ivan Smith Furniture in its third generation or HAKRO managed by the founder's daughter.
🔧 What other technologies do companies that use Klaviyo Analytics also use?
Source: Analysis of tech stacks from 97,255 companies that use Klaviyo Analytics
Commonly Paired Technologies
i
Shows how much more likely Klaviyo Analytics 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 analyzed companies using Klaviyo Analytics and found they're overwhelmingly e-commerce businesses, specifically direct-to-consumer brands selling through Shopify. The presence of Shopify at 255.9x the normal rate, combined with Klaviyo's marketing automation platform, tells me these are online retailers focused on customer retention and email-driven revenue. They're not marketplace sellers or B2B companies. They own their customer relationships and use data to drive repeat purchases.
The pairing of Recharge (560.2x more likely) with Klaviyo is particularly revealing. Recharge powers subscription billing, which means these companies have recurring revenue models like subscription boxes or consumables that customers reorder regularly. Klaviyo helps them nurture those subscription relationships through targeted email flows. Similarly, Triple Whale appearing 774.9x more often makes sense because it's an analytics dashboard specifically built for e-commerce brands that need to track profitability across multiple advertising channels. Gorgias, a customer service platform purpose-built for e-commerce, rounds out the picture at 753.7x more likely. These companies are handling enough customer inquiries that generic support tools won't cut it.
The full stack reveals marketing-led organizations that live and die by their ability to acquire customers profitably through Facebook Ads and retain them through sophisticated email marketing. They're likely past the early startup phase since they're investing in specialized tools rather than generic solutions. They need to understand unit economics deeply, which explains the analytics focus. These are growth-stage DTC brands managing complexity around customer acquisition costs, lifetime value, and retention metrics.
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