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Brief

Clerk.io

E-Commerce Personalization and Search

Clerk.io enables e-commerce businesses to deliver AI-powered personalized shopping experiences — including search, recommendations, and email — without requiring deep technical resources, driving measurable revenue uplift.

Last updated Jun 19, 2026 by ATDb automated enrichment · Connections updated Jun 22, 2026

Founded
2011
HQ
Copenhagen, Capital Region, Denmark
Connections
10

At a glance

Employees
51-200
Revenue
$10M-$50M
9integrations1competitors

About

Leading AI personalization platform for European mid-market e-commerce, competing on ease of use, integration breadth, and transparent pricing

Clerk.io is a Danish e-commerce personalization company founded in 2011, offering a suite of AI-driven tools designed to help online retailers increase revenue through smarter customer experiences. Its core platform leverages machine learning to deliver real-time product recommendations, intelligent site search, and personalized email campaigns — all aimed at increasing basket size, reducing bounce rates, and improving overall conversion rates. The company serves thousands of e-commerce businesses across Europe and beyond, positioning itself as a comprehensive personalization engine that integrates seamlessly with major e-commerce platforms. Clerk.io's product portfolio spans several key areas: Search (AI-powered on-site search with autocomplete and filtering), Recommendations (behavioral product suggestions across the shopping journey), Email (personalized product content in automated email flows), and Audience (segmentation and analytics tools). The platform is particularly strong in the European mid-market e-commerce segment, where it competes with global players like Nosto, Algolia, and Bloomreach by offering ease of integration, transparent pricing, and strong customer support. Within the AdTech and MarTech ecosystem, Clerk.io occupies the intersection of e-commerce personalization and conversion rate optimization. Its significance lies in democratizing AI-driven personalization for small-to-mid-sized retailers who may lack the engineering resources to build such capabilities in-house. The company has built a robust partner network with major e-commerce platforms including Shopify, Magento, WooCommerce, and Shopware, making it accessible to a wide range of merchants.

Business model

SaaS

Target market

SMB and Mid-Market

What they offer

  • Clerk Search

    AI-powered on-site search with autocomplete, typo tolerance, synonym handling, and behavioral ranking to surface the most relevant products.

  • Clerk Recommendations

    Machine learning-based product recommendation widgets deployable across product pages, cart, homepage, and checkout to increase average order value.

  • Clerk Email

    Personalized product content blocks for email marketing flows, integrating with ESPs to deliver individualized product suggestions in newsletters and automated campaigns.

  • Clerk Audience

    Customer segmentation and analytics tools that allow merchants to build targeted audiences based on behavioral and purchase data.

  • Clerk Audience Ads

    Sync personalized customer segments to advertising platforms like Google and Meta for retargeting and lookalike campaigns.

Key features

Real-time behavioral data processing for personalizationAI-powered site search with NLP and typo toleranceCross-channel personalization (web, email, ads)No-code widget integration and visual editorA/B testing and performance analytics dashboardMultilingual and multi-currency supportPlug-and-play integrations with major e-commerce platformsCustomer segmentation and audience building

Use cases

Increasing average order value through AI product recommendations on product and cart pagesReducing search abandonment with intelligent on-site searchPersonalizing email newsletters with dynamic product blocksRetargeting website visitors with personalized ad audiences on Google and MetaSegmenting customers for targeted promotions based on purchase behaviorImproving product discoverability for large catalog e-commerce stores

Customer segments

Online fashion and apparel retailersConsumer electronics e-commerceHome and furniture online storesHealth and beauty e-commerceSports and outdoor retailersMulti-category online marketplaces

Tech & specs

Technology stack

Machine learning and AI recommendation enginesNatural Language Processing (NLP) for searchJavaScript SDK for front-end integrationREST APICloud-based SaaS infrastructureReal-time data processing pipelines

Security & compliance

GDPR

Deployment

Cloud

API

Yes

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