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Brief
Nosto

Nosto

E-Commerce Personalization & Merchandisingnosto.com

Nosto unifies AI-driven personalization, merchandising, search, and UGC into a single platform that helps e-commerce brands increase conversions and revenue without requiring heavy technical resources.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2011
HQ
Helsinki, Uusimaa, Finland
Connections
25

At a glance

Employees
201-500
Funding
$40M+
Revenue
$20M-$50M
18integrations5competitors1corporate family1acquisitions

About

A leading Commerce Experience Platform for mid-market and enterprise e-commerce brands, competing in the personalization and merchandising segment with a unified multi-capability suite.

Nosto is a Finnish-founded, Helsinki-headquartered Commerce Experience Platform (CXP) that empowers e-commerce retailers to create highly personalized and relevant shopping experiences at scale. Founded in 2011, the company leverages artificial intelligence and machine learning to analyze shopper behavior in real time, enabling brands to deliver tailored product recommendations, personalized content, category merchandising, and dynamic search results across their online stores. Nosto serves hundreds of e-commerce brands globally, spanning fashion, beauty, home goods, and consumer electronics verticals. The platform integrates deeply with major e-commerce ecosystems including Shopify, Shopify Plus, Magento, Salesforce Commerce Cloud, and BigCommerce, making it accessible to both mid-market and enterprise retailers. Nosto's suite of tools goes beyond basic recommendations to include A/B testing, segmentation, behavioral pop-ups, and visual UGC (user-generated content) curation — the latter bolstered by its acquisition of Stackla in 2021. This acquisition significantly expanded Nosto's content personalization capabilities and broadened its customer base. In the competitive landscape of e-commerce personalization and merchandising, Nosto competes with players like Bloomreach, Algolia, Dynamic Yield (acquired by Mastercard), and Clerk.io. Its key differentiator is a unified platform approach that combines personalization, merchandising, search, and UGC in a single solution, reducing the need for multiple point solutions. The company has raised significant venture funding and continues to expand its AI-driven capabilities to help brands increase conversion rates, average order values, and overall revenue.

Business model

SaaS

Target market

Mid-Market and Enterprise

What they offer

  • Product Recommendations

    AI-powered personalized product recommendation widgets displayed across the storefront, including homepage, PDP, cart, and post-purchase pages.

  • Personalized Search

    AI-driven on-site search that delivers personalized, relevant results based on individual shopper behavior and preferences.

  • Category Merchandising

    Dynamic category page merchandising tools that allow retailers to boost, bury, or pin products based on rules, AI signals, or manual overrides.

  • Content Personalization

    Dynamic on-site content personalization enabling brands to tailor banners, copy, and layouts to specific customer segments.

  • Behavioral Pop-ups & Overlays

    Triggered pop-ups and overlays based on shopper behavior to capture leads, reduce cart abandonment, and promote offers.

  • Visual UGC (Stackla)

    User-generated content curation and display tools (from Stackla acquisition) that surface authentic social proof across the shopping experience.

  • A/B Testing & Optimization

    Built-in experimentation tools to test personalization strategies, recommendation placements, and content variations.

  • Segmentation & Analytics

    Real-time customer segmentation and performance analytics to measure the impact of personalization on revenue and engagement.

Key features

Real-time AI-driven product recommendationsUnified personalization, merchandising, and search platformVisual UGC curation and displayDeep e-commerce platform integrations (Shopify, Magento, Salesforce CC)Behavioral segmentation and targetingA/B and multivariate testingDynamic category page merchandisingPersonalized on-site searchBehavioral pop-ups and email captureNo-code and low-code implementation options

Use cases

Increasing average order value through personalized cross-sell and upsell recommendationsReducing cart abandonment with behavioral pop-ups and personalized incentivesImproving category page conversion with AI-driven merchandisingEnhancing on-site search relevance with personalized resultsBuilding social proof with curated UGC on product and landing pagesSegmenting shoppers for targeted promotions and contentA/B testing personalization strategies to optimize revenue impactPersonalizing post-purchase experiences to drive repeat purchases

Customer segments

Mid-market e-commerce retailersEnterprise e-commerce brandsFashion and apparel brandsBeauty and cosmetics retailersHome goods and furniture retailersConsumer electronics e-commerceShopify Plus merchantsMagento/Adobe Commerce merchants

Tech & specs

Technology stack

Artificial Intelligence / Machine LearningReal-time behavioral data processingJavaScript (front-end SDK)REST APIsGraphQLCloud infrastructure (AWS)Big data analyticsNatural Language Processing (search)

Security & compliance

GDPRCCPASOC 2

Deployment

Cloud

API

Yes

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