Nosto is an ecommerce personalization platform for Shopify and Magento stores: product recommendations, site search, category merchandising, priced by quote.

Nosto is an ecommerce personalization platform that decides what each shopper sees on a store's product, category and search pages. It is built by Nosto Solutions Oy, an independent company based in Helsinki. Most online catalogs are far too large for a merchandiser to order by hand for every visitor. The platform reads browsing and purchase behavior as it happens, builds an affinity profile for each shopper, and applies that profile across the storefront. Predictive Product Recommendations place bought-together, similar-item and best-seller carousels on any page of the store. Search ranks results against the same affinities, and category page merchandising orders collections by product performance and individual shopper preference. Onsite Content Personalization varies banners and blocks by segment, with those segments built in Segmentation and Insights from Behavioral Affinities. Dynamic Bundles, Post-Purchase Upsell, Personalized Emails and Social Proof messaging carry the same profile beyond the product page. Nosto suits ecommerce and merchandising teams at mid-market and enterprise retailers, particularly in fashion, beauty and other high-SKU categories. It fits stores on Shopify, Shopify Plus, Magento, Shopware, BigCommerce or PrestaShop, where a native connector supplies the catalog and behavioral data. Marketers who carry a conversion target but have no data science team get the algorithms without building them. Customer data from a CRM, customer data platform or email tool can be imported and used as onsite segments. The platform is sold by quote after a demo, and qualified merchants can run a structured proof of concept instead of a self-service trial. In practice merchants use it to decide which products appear on product and cart pages, and to make site search return what a returning shopper browses. It keeps category pages ordered without a weekly manual sort. Campaign testing runs a personalization against a control group before it reaches the whole store. Recommendations travel into email campaigns and flows, and segments built for onsite targeting can be exported to Facebook Custom Audiences for paid social. Merchants keep their existing store platform, email tool and analytics, and let Nosto decide the ordering and the offers on top.

Features

Included: AI product recommendations
Included: Personalized search results
Included: Category page merchandising
Included: Segment-based content variations
Included: Real-time behavioral triggers
Included: Shopper affinity profiles
Included: Location and weather targeting
Included: Personalized email recommendations
Included: Dynamic product bundles
Included: Post-purchase upsell offers
Included: Social proof messages
Included: Anonymous visitor personalization
Included: External audience import
Included: Personalization A/B testing
Not included: API-based headless delivery
Not included: Visual experience editor
Not included: Revenue uplift reporting
Included: Shopify and Magento integrations

Additional Features

Predictive Product Recommendations
Bought-together and similar-item algorithms
Personalized site search ranking
Category page merchandising rules
Onsite Content Personalization
Segmentation and Insights
Behavioral Affinities profiles
Real-time recommendation updates
Geo-location targeting
Weather-based recommendations
Anonymous first-visit personalization
Personalized Emails
Dynamic Bundles
Post-Purchase Upsell for Shopify
Social Proof and FOMO messaging
Campaign testing with control groups
Customer data import from a CRM, CDP or email platform
Shopify Flow integration
Magento, Shopware, BigCommerce and PrestaShop connectors
User-generated content inside recommendations
Segment export to Facebook Custom Audiences
Site metrics report
Campaign performance report

Best for

  • Shopify Plus and Magento merchants with large catalogs
  • Fashion, beauty and other high-SKU retailers
  • Ecommerce teams without an in-house data science function
  • Merchandisers ordering category pages by hand today
  • Retailers wanting recommendations and site search from one vendor
  • Marketing teams that also carry email revenue
  • Merchants comfortable buying through a demo and a sales quote

Use cases

  • Showing bought-together products on product pages
  • Ranking search results by a shopper's brand and category affinity
  • Ordering category pages by product performance
  • Injecting recommended products into email campaigns
  • Offering an upsell on the order confirmation page
  • Building product bundles from browsing data
  • Showing social proof messages on product pages
  • Personalizing the first visit of an anonymous shopper
  • Testing a personalized experience against a control group
  • Varying content by shopper location or local weather
  • Using CRM or CDP segments for onsite targeting
  • Building shopper segments for paid social audiences

Screenshots & Videos

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