We detected 989 customers using Langshop, 184 companies that churned or ended their trial, and 45 customers with estimated renewals in the next 3 months. The most common industry is Retail (70%) and the most common company size is 2-10 employees (76%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Langshop
Langshop provides AI-powered translation services that enable Shopify and Magento ecommerce stores to convert their content into multiple languages and currencies, helping businesses reach global markets with automated or professional translation options and geolocation features for regional pricing.
🔧 What other technologies do Langshop customers also use?
Source: Analysis of tech stacks from 989 companies that use Langshop
Commonly Paired Technologies
i
Shows how much more likely Langshop 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 Langshop users are overwhelmingly e-commerce companies, specifically ones built on Shopify. The extreme correlation with Shopify (26.8x more likely) combined with email marketing platform Klaviyo (31.4x) tells me these are direct-to-consumer brands operating online stores. The presence of multiple site search and commerce optimization tools suggests they're actively trying to reach international customers and optimize their conversion rates.
The pairing of Langshop with Klaviyo makes perfect sense for a company expanding into new language markets. You need to translate not just your storefront but also your email campaigns, abandoned cart sequences, and post-purchase flows. The strong correlation with Searchanise and Boost Commerce is equally telling. These are both tools that help shoppers find products more easily, which becomes critical when you're serving customers in multiple languages who might search for items differently. ProfitMetrics.io appearing 370x more often suggests these companies are data-driven about their expansion efforts and want to track profitability across different markets.
The full stack reveals marketing-led growth companies that are past the early startup phase. They've found product-market fit in their home market and are now scaling internationally. They're sophisticated enough to use specialized e-commerce tools rather than basic platforms, but they're still leaning heavily on the Shopify ecosystem rather than building custom solutions. This points to mid-stage DTC brands, probably doing anywhere from a few million to tens of millions in annual revenue.
👥 What types of companies is most likely to use Langshop?
Source: Analysis of Linkedin bios of 989 companies that use Langshop
Company Characteristics
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Shows how much more likely Langshop 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: Apparel & Fashion
32.9x
Industry: Retail Apparel and Fashion
18.9x
Country: DK
6.1x
Industry: Retail
5.8x
Country: IT
3.2x
Country: ES
3.1x
I noticed that Langshop's typical customers are predominantly fashion, lifestyle, and consumer goods brands selling physical products directly to consumers. These aren't tech companies or B2B services. They're apparel brands like SNURK and No Excess, personal care companies like Bulldog Skincare and mybacs, home goods retailers like Muy Mucho, and specialty food and beverage businesses. The common thread is that they all need to communicate about tangible products across multiple markets.
These companies span the growth spectrum, but most are in that crucial scaling phase. The employee counts tell the story: predominantly 11-50 or 51-200 employees, with a few outliers on either end. Many have Series A or Seed funding (mybacs, SOUS, FINESSE, Horizn Studios), suggesting they've proven product-market fit and are expanding internationally. The fact that they're multi-market already but still relatively small indicates they're at that inflection point where manual translation becomes impossible but they're not yet large enough for enterprise-level localization infrastructure.
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