We detected 1,082 customers using Visually, 314 companies that churned or ended their trial, and 146 customers with estimated renewals in the next 3 months. The most common industry is Retail (56%) and the most common company size is 2-10 employees (66%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Visually installed on their website and may not capture stores running tests only on checkout flows, or post-purchase experiences.
About Visually
Visually provides an AI-powered A/B testing and personalization platform for Shopify stores that enables merchants to optimize conversion rates across the entire customer journey from homepage to checkout using a no-code visual editor and advanced segmentation capabilities.
🔧 What other technologies do Visually customers also use?
Source: Analysis of tech stacks from 1,082 companies that use Visually
Commonly Paired Technologies
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Shows how much more likely Visually 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 Visually users are clearly e-commerce companies, specifically direct-to-consumer brands running on Shopify. The presence of Triple Whale, Klaviyo, and tools like Rebuy Engine tells me these are growth-focused online retailers who need sophisticated analytics and customer engagement capabilities. They're not small mom-and-pop shops, but rather established brands investing heavily in their marketing technology infrastructure.
The pairing of Triple Whale with Klaviyo is particularly revealing. Triple Whale provides centralized analytics for e-commerce metrics, while Klaviyo handles email and SMS marketing automation. Together, they suggest companies obsessed with tracking customer lifetime value and running data-driven retention campaigns. Elevar appearing so frequently makes perfect sense too, since it fixes tracking accuracy issues that plague e-commerce advertisers. These companies are spending enough on ads that accurate attribution matters significantly. The inclusion of Rebuy Engine, a personalization and upsell platform, shows they're focused on increasing average order value through smart product recommendations.
My analysis shows these are marketing-led organizations in their growth or scale-up phase. They've moved past the scrappy startup stage where you use free tools, but they're still performance-focused rather than enterprise bureaucratic. The stack screams "we need to understand our unit economics" and "we're optimizing every part of the customer journey." These companies likely have dedicated marketing teams, probably performance marketers who live in their dashboards and constantly run experiments on ad creative, email flows, and on-site conversion rates.
👥 What types of companies is most likely to use Visually?
Source: Analysis of Linkedin bios of 1,082 companies that use Visually
Company Characteristics
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Shows how much more likely Visually 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
Industry: Retail Health and Personal Care Products
34.9x
Industry: Personal Care Product Manufacturing
25.9x
Industry: Retail Luxury Goods and Jewelry
23.9x
Funding Stage: Seed
6.3x
Country: AU
1.9x
Country: CA
1.8x
I noticed that Visually's typical customers are direct-to-consumer brands selling physical products across fashion, beauty, wellness, and lifestyle categories. These companies make everything from sustainable apparel and organic skincare to specialty foods and home goods. They're not just retailers, they're brands with a story. Many design and manufacture their own products, whether that's Au Vodka's gold bottles, Needed's perinatal supplements, or Victoria Beckham's atelier-crafted fashion.
These are mostly growth-stage companies. The employee counts cluster between 10 and 200, with many in the 11-50 range. Several have raised seed or Series A funding in the $2M to $14M range, but many show no external funding, suggesting bootstrapped growth or profitability. They're past the garage startup phase but haven't scaled to corporate bloat. They have enough traction to need professional creative support but still operate with founder-led intensity.
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