We detected 475 customers using varify.io, 162 companies that churned or ended their trial, and 41 customers with estimated renewals in the next 3 months. The most common industry is Retail (20%) and the most common company size is 51-200 employees (26%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Varify.io installed on their website and may not capture sites running tests only on checkout flows or gated pages
About varify.io
varify.io provides an affordable A/B testing and conversion optimization platform with unlimited traffic and experiments, featuring a visual editor and GA4 integration that uses existing analytics data for result evaluation.
🔧 What other technologies do varify.io customers also use?
Source: Analysis of tech stacks from 475 companies that use varify.io
Commonly Paired Technologies
i
Shows how much more likely varify.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 varify.io users are predominantly direct-to-consumer e-commerce brands with sophisticated marketing operations. The presence of Klaviyo for email marketing, Triple Whale for analytics, and Microsoft Clarity for user behavior tracking tells me these are companies obsessed with understanding and optimizing their customer journey. They're not just selling products online, they're building retention-focused businesses that depend on repeat purchases and customer lifetime value.
The pairing of Triple Whale and Klaviyo is particularly telling. Triple Whale helps e-commerce brands track attribution across multiple channels, while Klaviyo powers personalized email and SMS campaigns. Together, they suggest these companies are running complex multi-channel acquisition strategies and need to understand which marketing dollars actually drive sales. Adding Microsoft Clarity into the mix makes even more sense because these brands want to see exactly how customers navigate their sites before making purchase decisions. Flowbox and UserCentrics round out the picture, with Flowbox enabling user-generated content displays (think Instagram photos on product pages) and UserCentrics managing consent for all the tracking these companies rely on.
The full stack reveals marketing-led organizations in growth stage, likely past the startup phase but still scaling aggressively. They've moved beyond basic Shopify setups and invested in specialized tools to solve specific problems around attribution, personalization, and conversion optimization. These aren't enterprise companies with long sales cycles, they're fast-moving brands that need to make daily decisions about ad spend and campaign performance.
👥 What types of companies is most likely to use varify.io?
Source: Analysis of Linkedin bios of 475 companies that use varify.io
Company Characteristics
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Shows how much more likely varify.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: DE
11.3x
Industry: Retail
10.8x
Company Size: 1,001-5,000
9.3x
Country: NL
5.3x
Company Size: 201-500
3.8x
Company Size: 51-200
2.8x
I noticed that varify.io's customers span an incredibly diverse range of industries, but they share a common thread: they're primarily selling physical products or services directly to consumers. I see e-commerce brands selling everything from sustainable fashion and jewelry to solar panels and pet supplies, traditional retailers with both physical and online presence, media companies, fitness centers, and B2C service providers. These aren't software companies or purely B2B enterprises. They're businesses that need to manage customer relationships, process orders, handle subscriptions, and maintain brand loyalty at scale.
These companies appear to be in growth or mature scaling phases. I see employee counts predominantly in the 11-200 range, with some reaching 500-1000+. Many mention "fastest growing," have multiple locations or international presence, and several have raised Series A or B funding. They're past the scrappy startup phase but still expanding aggressively. Very few are early-stage, and those that are tend to be in established, proven business models.
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