Companies that use Shoplift.ai

Source: Analysis of Linkedin bios of 1,565 companies that use Shoplift.ai

I noticed these companies are predominantly direct-to-consumer brands selling physical products across consumer categories. They make everything from coffee and energy drinks to skincare and apparel to outdoor gear and pet supplies. What stands out is how tangible and lifestyle-oriented their offerings are. These aren't software companies or service businesses. They're companies that ship actual products to people's homes, often with strong brand narratives built around quality, wellness, sustainability, or performance.

These companies span the growth spectrum but cluster in the scaling phase. I see a mix of 2-10 and 11-50 employee counts dominating, with some reaching 51-200. Funding stages range from bootstrapped to Series B, but many show no institutional funding at all. They're past the pure startup phase but not yet massive enterprises. They have enough traction to need sophisticated e-commerce tools but are still building their operations and distribution.

Source: Analysis of tech stacks from 1,565 companies that use Shoplift.ai

I noticed that Shoplift.ai users are clearly sophisticated e-commerce companies, specifically Shopify merchants running data-driven direct-to-consumer brands. The presence of Triple Whale, Klaviyo, and Elevar together tells me these companies are obsessed with tracking performance and optimizing every step of the customer journey. They're not just selling products online. They're building proper growth engines with multiple feedback loops.

The pairing of Gorgias with Rebuy Engine is particularly revealing. Gorgias handles customer support for e-commerce, while Rebuy Engine powers personalized product recommendations and upsells. This suggests these companies view customer service as a revenue channel, not a cost center. Support agents are probably trained to suggest complementary products during conversations. The fact that Heatmap appears so frequently, despite being in fewer total companies, tells me they're serious about conversion rate optimization and actually watch how users interact with their sites. When you combine this with Elevar's enhanced tracking capabilities, you get companies that want pixel-perfect data flowing into their analytics.

The full stack reveals these are marketing-led companies in growth stage, probably doing between $5 million and $50 million in annual revenue. They've graduated past basic Shopify setups but haven't necessarily moved to enterprise platforms yet. They're willing to invest in best-of-breed tools rather than all-in-one solutions, which means they have dedicated marketing and analytics teams who can manage integration complexity. The emphasis on attribution tools like Triple Whale and Elevar suggests they're running paid acquisition across multiple channels and need to prove ROI.