We detected 1,906 customers using Doofinder, 424 companies that churned or ended their trial, and 62 customers with estimated renewals in the next 3 months. The most common industry is Retail (51%) and the most common company size is 2-10 employees (45%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can't detect companies that use Doofinder with a headless implementation or backend search
About Doofinder
Doofinder provides an AI-powered site search engine for eCommerce websites that enhances product discovery by understanding user intent, handling typos, supporting voice and image search, and delivering personalized results to help online stores increase conversions by up to 20%.
🔧 What other technologies do Doofinder customers also use?
Source: Analysis of tech stacks from 1,906 companies that use Doofinder
Commonly Paired Technologies
i
Shows how much more likely Doofinder 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 Doofinder users are predominantly ecommerce companies with a distinctly European flavor, particularly focused on the Spanish and French markets. The overwhelming presence of Shopify (970 companies) combined with high concentrations of European-specific tools like Axeptio (French GDPR compliance) and connectif (Spanish marketing automation) tells me these are online retailers prioritizing localized shopping experiences. They're solving for product discovery in catalogs that are large enough to need sophisticated search functionality.
The pairing with connectif is especially revealing because it's a Spanish omnichannel platform that combines marketing automation with customer data. These companies are connecting search behavior directly to personalized marketing campaigns. Oct8ne, a visual assistance and co-browsing tool, suggests they're dealing with products that need explanation or demonstration. When you add Klaviyo to the mix, you see a clear workflow: customers search using Doofinder, their behavior feeds into connectif or Klaviyo for segmentation, and then they receive targeted email campaigns based on what they searched for but didn't buy. Skeepers (formerly Octoly) for user-generated content means they're also building social proof into the buying journey.
The full picture shows marketing-led ecommerce companies that are past the startup phase but haven't necessarily scaled to enterprise level. They're investing in conversion optimization tools rather than basic infrastructure. They understand that generic search isn't good enough and that European customers expect data privacy (hence Axeptio). These are companies with enough SKUs and traffic to justify specialized search, probably doing between $1M and $50M in annual revenue.
👥 What types of companies is most likely to use Doofinder?
Source: Analysis of Linkedin bios of 1,906 companies that use Doofinder
Company Characteristics
i
Shows how much more likely Doofinder 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: Online and Mail Order Retail
65.2x
Industry: Sporting Goods Manufacturing
20.9x
Industry: Apparel & Fashion
20.2x
Country: ES
8.2x
Funding Stage: Series unknown
7.6x
Country: MX
5.7x
I noticed that Doofinder's typical customers are predominantly retailers and e-commerce businesses selling physical products. These aren't abstract SaaS companies or service providers. They're moving tangible goods: fashion brands like Peserico and THE-ARE, specialty retailers like YoYoExpert selling yo-yos, building materials suppliers like MGN Builders Merchants, food and beverage companies like Le Comptoir de Mathilde, and niche equipment vendors from kitesurfing gear to veterinary supplies. Many operate both physical stores and online shops, suggesting they're navigating the omnichannel retail challenge.
These are mostly established, mature businesses rather than early-stage startups. The employee counts cluster between 11-200 people, with many family-run operations spanning multiple generations. Few show funding stages or venture backing. They've grown organically, often mentioning "steady growth," multiple physical locations, and decades in business. They're at the stage where they need to professionalize their digital presence without losing their specialized, consultative approach.
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