We detected 2,267 customers using Tolstoy and 157 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 (69%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We are unable to detect churned customers for this vendor, only new customers
About Tolstoy
Tolstoy provides a shoppable video platform that enables e-commerce brands to create interactive videos with product tagging, allowing customers to shop directly from video content across websites, emails, and mobile apps to drive engagement and increase conversions.
đ§ What other technologies do Tolstoy customers also use?
Source: Analysis of tech stacks from 2,267 companies that use Tolstoy
Commonly Paired Technologies
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Shows how much more likely Tolstoy 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 something striking about Tolstoy users: they're almost exclusively direct-to-consumer e-commerce brands built on Shopify. The presence of Shopify in nearly 2,000 companies, combined with subscription management tools like Recharge and customer service platforms like Gorgias, tells me these are digitally-native brands selling consumable products online. They're not just one-time purchase stores but subscription-first businesses building recurring revenue.
The pairing of Klaviyo and Tolstoy makes perfect sense for brands obsessing over email marketing and customer lifecycle. Klaviyo handles the automated flows and segmentation, while Tolstoy likely adds video engagement to those touchpoints. Triple Whale appearing 141 times more often than normal is particularly revealing because it's an analytics platform specifically for DTC brands tracking attribution across multiple channels. These companies are laser-focused on understanding which marketing dollars actually drive purchases. Rebuy Engine, which powers post-purchase upsells and product recommendations, suggests they're maximizing customer lifetime value at every interaction point.
The full stack screams marketing-led growth. These companies are performance marketers who treat every customer touchpoint as an optimization opportunity. They're likely past the earliest startup phase since they've invested in sophisticated retention tools, but they're still growth-focused rather than enterprise-scale. The emphasis on retention tools like Recharge, upsell engines like Rebuy, and support platforms like Gorgias shows they understand that acquiring customers is expensive and the real profit comes from keeping them.
đ„ What types of companies is most likely to use Tolstoy?
Source: Analysis of Linkedin bios of 2,267 companies that use Tolstoy
Company Characteristics
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Shows how much more likely Tolstoy 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: Cosmetics
41.7x
Industry: Personal Care Product Manufacturing
33.6x
Industry: Retail Health and Personal Care Products
26.8x
Funding Stage: Series unknown
7.1x
Funding Stage: Pre seed
5.2x
Country: AU
5.0x
I analyzed these companies and found that Tolstoy's typical customer operates in direct-to-consumer retail, predominantly selling physical products online. These are beauty and skincare brands, fashion and apparel companies, specialty food and beverage makers, fitness wear, jewelry, home goods, and wellness products. They're product-focused businesses that need to showcase their offerings visually and tell compelling brand stories to convert online shoppers.
These are predominantly small to mid-sized growth companies. The employee counts cluster heavily in the 2-10 and 11-50 range, with some reaching 51-200. Funding stages are mostly bootstrapped, seed, or Series A when mentioned at all. Many have been around 5-15 years, past the initial startup chaos but still scaling. They're large enough to invest in professional tools but small enough that marketing efficiency matters tremendously. They're at the stage where they have product-market fit and need to optimize conversion and customer experience.
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