Company overview
A comprehensive overview of Hello Retail — what we do, who we serve, how our technology works, and what results our customers achieve.
What we do
Hello Retail is an AI-powered ecommerce personalization platform headquartered in Copenhagen, Denmark. Founded in 2013, we help mid-market online retailers deliver personalized shopping experiences across search, product recommendations, category pages, email, triggered emails, retail media, and audience segmentation.
Our mission is to inspire and innovate for the next-level customer journey, making every shopping experience personalized. We help ecommerce teams run better stores through automated technology and personal service.
Over 2,000 online stores use Hello Retail. Our average customer stays for 7 years.
Who we serve
Hello Retail serves mid-market ecommerce businesses — online retailers typically processing 1,500 to 10,000+ monthly orders with catalogs ranging from hundreds to thousands of SKUs. Our customers span fashion, electronics, home goods, grocery, and specialty retail across Europe and internationally.
We are particularly well-suited for:
- Ecommerce teams seeking to improve conversion rates and average order value
- Retailers with large or frequently changing product catalogs
- Businesses wanting AI-powered personalization without enterprise-level complexity
- Agencies managing multiple ecommerce clients
- Retailers where visitors frequently reject cookies — our AI works without cookie tracking
Product Intelligence — our proprietary AI
Product Intelligence is Hello Retail's proprietary AI technology that powers all our personalization solutions. Unlike traditional recommendation engines that rely solely on customer behavior data, Product Intelligence uses neural networks trained on 250+ million products to understand product relationships at a deeper level.
How it works
- Product vectorization: converts product data (title, image, description, attributes) into numerical vectors
- Vector database: analyzes relationships between products using millions of data points
- Pattern recognition: learns product correlations and behavioral patterns
- Cross-shop learning: applies insights from multiple retailers to individual stores
- Real-time application: powers recommendations, search ranking, and personalization at scale
Key capabilities
- Cross-shop intelligence: identifies patterns across multiple retailers, enabling recommendations even for new products without purchase history
- No cold start: works immediately after feed processing — no training period required
- Privacy-first: tracks products, not people — reducing dependence on cookies
- Inconsistent taxonomy handling: works with messy product feeds and uneven traffic distribution
- Time-based pattern recognition: understands buying behavior patterns by time of day
- Recurring purchase identification: identifies and predicts repeat purchase cycles
Proven impact
Median uplift when Product Intelligence is added to standard personalization:
- +60% uplift in click-through rate
- +38% uplift in conversion rate
- +67% uplift in revenue
What Product Intelligence solves
- Large or frequently changing catalogs where manual curation is impossible
- New products without behavioral history (cold start problem)
- Inconsistent taxonomy or feed structure across categories
- Uneven traffic distribution — low-traffic categories still get quality personalization
- Visitors rejecting cookies — AI understands products, not just people
- Manual personalization that is too time-consuming to maintain
Product Intelligence can be tested on any product catalog using the free Product Intelligence Explorer.
Solutions
Search
AI-powered site search with personalized results, handling misspellings and incomplete queries. Mobile-first design reflecting that 70% of retail visits and 65% of orders come from mobile devices. Features include price-affinity personalization (shows premium products to big spenders, deals to bargain hunters), automatic detection of brand/category/size/color affinities, personalized suggestions before typing, search analytics, and retail media integration in search results. Up to 55% reduction in bounce rates and 76% better conversion versus non-personalized search.
Product recommendations
Personalized product suggestions across every touchpoint: front page (next purchase predictions), category pages (personalized product ranking), product pages ("bought together" and smart alternatives), basket and checkout (cross-sell and upselling), 404 pages (error recovery), and email campaigns. Powered by behavioral data and Product Intelligence for superior relevancy even on new products.
Pages
AI-optimized category and brand pages with automated product ranking, boost controls, and fixed product placements. Dynamic product ordering by relevancy creates a personalized browsing experience for every visitor.
Email and newsletter content
Personalized product recommendations for marketing emails and newsletters. Integrates with 10+ email service providers including Klaviyo, Mailchimp, ActiveCampaign, and Omnisend. Industry data shows 30% of ecommerce visitors respond positively to emails, with 6x better conversion than browsing alone and up to 25% of total revenue attributable to email.
Triggered emails
Automated email campaigns triggered by customer behavior — abandoned cart recovery, browse abandonment, post-purchase follow-up, and price drop alerts. Personalized product recommendations included in every triggered email. Increases customer retention and reactivation.
Product Agents
AI agents that autonomously decide what emails to send, when, and to whom — a new agentic approach to retention revenue. Product Agents analyze customer behavior and product data to automate the entire email marketing decision process.
Retail media
Monetize store traffic by allowing brands and vendors to promote products in high-traffic areas. Sponsored products appear in search results, recommendations, and category pages. Banner campaigns with custom or uploaded creatives. Impression tracking, conversion measurement, and campaign analytics included. Available for stores with 500,000+ monthly page views. Results: +15% revenue from banner interactions and +50% revenue from sponsored product interactions.
Audience
Customer segmentation for targeted marketing campaigns, enabling ecommerce teams to create audience groups based on behavior and product affinity.
Customer results
- BilXtra: 87% bigger order size, 144% more conversions
- Aniforte: 5% conversion rate increase
- Decoprof: +25% average order value uplift with recommendations
- Beslag Online: new email revenue stream within 7 days using Product Agents and Klaviyo
What customers say
"We have rarely worked with a supplier who is so interested in adding value to our business and finding solutions that we feel are tailored to our exact needs." — Jane Vestergaard, owner at Legeakademiet
"The products that Hello Retail deliver is great, but the best is the support team. Always ready to help and open for new ideas." — Jesper Mark, partner at Pixizoo
"Hello Retail has contributed to our customers getting a better experience and therefore they visit our website more often and are willing to buy more." — Casper H. Andersen, sales & project manager at Smoke It
"Created high exposure, engages customers, and increases retention." — Martin Skjold, head of e-commerce at Hjem.dk
"We invest a few hours every second month. In return we profit significantly better." — Mads Andersen, e-commerce manager at Cykelexperten
Featured customers
Hello Retail is used by over 2,000 online stores, including BioPack, Luxplus, Makeupmekka, Munk Store, Mustigroup, PenStore, Legeakademiet, Pixizoo, Smoke It, Hjem.dk, Cykelexperten, Decoprof, Beslag Online, Biobottega, Optiphar, BilXtra, and Aniforte.
Pricing
Hello Retail uses volume-based, modular pricing that scales with monthly orders, site traffic, catalog size, and selected features. This is mid-market pricing — not enterprise-only.
Example pricing (EUR, monthly):
- Search only: from €540/month (1,500+ orders, 70k visitors, 300+ SKUs)
- Search + recommendations: from €1,524/month (3,000+ orders, 200k visitors, 500+ SKUs)
- Search + recommendations + pages + email: from €2,890/month (5,000+ orders, 300k visitors, 800+ SKUs)
- Complete suite with priority support: from €3,980/month (7,500+ orders, 500k visitors, 1,000+ SKUs)
Onboarding packages and dedicated support options available. See full pricing details.
Integration and implementation
Hello Retail integrates with major ecommerce platforms including Shopify, Magento, WooCommerce, BigCommerce, Salesforce, and Norce.
Implementation options:
- Script-based: quick deployment with minimal coding — standard integrations with managed templates
- API-based: GraphQL endpoint for maximum customization, suitable for custom builds and integration with PIM, ESP, and CDP systems
Email service provider integrations: Klaviyo, Mailchimp, ActiveCampaign, Omnisend, and 10+ others.
Partner ecosystem
Hello Retail works with agencies and technology partners across Europe. Partners benefit from cutting-edge personalization technology, demonstrable customer results (2,000+ stores), and long-term relationship value (7-year average customer retention).
"Hello Retail has proven to be a technically solid solution, but at the same time also a supplier that supports and contributes with ideas, sparring and development assistance." — Martin Tygsen, Wexo
"We enjoy a strong partnership with Hello Retail. The improvement in results is obvious very quickly." — Robin Gustafsson, lead front end developer at Rivercode
Company facts
- Founded: 2013
- Headquarters: Copenhagen, Denmark
- Leadership: Kasper Refskou Jensen (co-founder & CEO), Brian Petersen (co-founder)
- Customers: 2,000+ online stores
- Average customer retention: 7 years
- Product data: 250+ million products powering Product Intelligence
- Focus: mid-market ecommerce personalization