
AI-powered ecommerce personalization, search, and merchandising for growing brands
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About Nosto
Nosto is an AI-powered Commerce Experience Platform (CXP) that helps ecommerce brands and retailers personalize product recommendations, on-site search, and category merchandising to increase conversions, average order value, and customer loyalty. Rather than a single-feature tool, Nosto positions itself as an integrated suite spanning its Product Experience Cloud (recommendations, search, merchandising, dynamic bundles, post-purchase upsell, personalized emails) and Content Experience Cloud (A/B testing, content personalization, behavioral pop-ups, shoppable UGC), all powered by a shared Experience.AI engine.
At the core of Nosto's AI stack are four capabilities: Predictive AI for real-time behavioral recommendations, Semantic AI for intent-aware search, Visual AI for image-based product matching, and Generative AI for content. In 2026, Nosto introduced Huginn, an AI agent that coordinates a network of purpose-built agents operating autonomously to uncover revenue opportunities, answer strategic merchandising questions, and enhance customer interactions across search, personalization, and testing, positioning the platform for agentic commerce. A Business Intelligence layer adds product intelligence, audience insights, and UGC monitoring to help merchandisers make data-informed decisions without relying on IT.
Nosto is built for mid-market and enterprise ecommerce brands running on Shopify, Shopify Plus, Salesforce Commerce Cloud, Shopware, Adobe Commerce (Magento), or BigCommerce, and integrates with commerce technologies like Klaviyo, Attentive, Yotpo, Tapcart, and Google Analytics. Founded in 2011 and headquartered in Helsinki, Finland, Nosto now supports more than 1,500 brands and retailers across 100+ countries, including Kylie Cosmetics, Dermalogica, MUJI, Vuori, FIGS, Marc Jacobs, and Douglas, with case studies citing results like 9% of Marc Jacobs' online revenue driven through AI personalization and a 43% conversion rate increase for O'Neill.
Key Features
- Predictive AI-powered product recommendations based on real-time shopper behavior
- Personalized on-site search that understands shopper intent for hyper-relevant results
- Automated category merchandising using rules based on performance metrics and shopper preferences
- Huginn AI agent network that autonomously surfaces revenue opportunities and answers strategic questions
- Dynamic bundles and post-purchase upsell recommendations
- Personalized email content synced with on-site behavior data
- A/B testing and campaign testing across personalization, search, and merchandising
- Business Intelligence suite covering product intelligence, audience insights, and UGC monitoring
Pros
- Full-stack Commerce Experience Platform covering recommendations, search, merchandising, testing, and UGC in one system
- Modular 'Build Your Own' pricing lets merchants pay only for the products they actually use
- Huginn AI agent network adds genuinely new agentic capabilities beyond typical rules-based personalization
- Strong enterprise track record: 1,500+ brands across 100+ countries with well-documented case study results
- Native integrations with all major commerce platforms (Shopify Plus, Salesforce Commerce Cloud, Adobe Commerce, BigCommerce, Shopware)
- Designed to have no negative impact on site speed, addressing a common concern with personalization tools
Cons
- No public pricing — requires a demo and sales conversation to get a quote, which slows evaluation for smaller merchants
- Pricing is based on merchant revenue, meaning costs scale up automatically as a store grows, which can surprise fast-growing brands
- Enterprise-grade platform aimed at mid-market and larger retailers; likely overkill and cost-prohibitive for small independent stores
- Full value requires clean, well-instrumented first-party data, so stores with messy product or customer data need setup work before seeing strong results
- Deep feature set (personalization, search, merchandising, A/B testing, agentic AI) means a real learning curve for teams new to CXP-style tools
Pricing
Nosto does not publish fixed public pricing; it is quote-based and tailored per merchant via a demo request. Historically, Nosto started with a pay-on-performance model (charging only on conversions from recommendations), then moved to a fixed monthly license fee scaled to merchant revenue, and later introduced modular 'Build Your Own' plans letting merchants select and pay for specific products (recommendations, search, merchandising, A/B testing, etc.) rather than a single bundled tier. Enterprise features, professional services, and Huginn AI agent access are typically part of custom enterprise contracts. Merchants must contact Nosto's sales team or book a demo to receive a specific quote.
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Frequently Asked Questions
Nosto does not publish flat pricing publicly. Pricing is tailored to each business, historically based on a percentage of the revenue Nosto helps generate or a fixed license fee tied to merchant revenue, with modular 'Build Your Own' plans for selecting specific products. Merchants need to book a demo to get a custom quote.
Huginn is Nosto's AI agent for agentic commerce, launched to coordinate a network of purpose-built AI agents that work autonomously to uncover revenue opportunities, answer strategic questions, and enhance customer interactions around search, merchandising, personalization, and A/B testing.
Nosto integrates natively with Shopify, Shopify Plus, Salesforce Commerce Cloud, Shopware, Adobe Commerce (Magento), and BigCommerce, plus commerce technologies like Klaviyo, Attentive, Yotpo, Tapcart, and Google Analytics.
Nosto serves more than 1,500 brands and retailers across over 100 countries, including well-known names like Kylie Cosmetics, Dermalogica, MUJI, Vuori, FIGS, Marc Jacobs, and Douglas.
Nosto combines Predictive AI, Semantic AI, Visual AI, and Generative AI within its Experience.AI engine to power product recommendations, personalized on-site search, category merchandising, dynamic bundles, and personalized emails using real-time behavioral and product data.
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