Recommend relevant products
Use browsing, purchase, and catalog signals across placements
Marketing
E-commerce & Selling
Nosto
Nosto personalizes ecommerce storefronts, giving merchandising teams practical control over recommendations, search, category ordering, and segmented content.
Runs on
Web
Available on
Web
Built for
Enterprise
Marketing
Overview
What is Nosto?
Built for active storefronts
Nosto sits on top of an ecommerce stack and uses behavioral and catalog data to tailor product discovery. It is aimed at mid-market and enterprise retailers with enough traffic, inventory, and campaign cadence to justify a dedicated personalization layer. Shopify Plus, Adobe Commerce, BigCommerce, and Salesforce Commerce Cloud integrations make it practical without replacing the store platform.
Where teams apply it
- Category pages: Merchandisers pin campaign products while algorithms reorder the rest.
- Product pages: Recommendations cross-sell compatible items or surface alternatives when stock runs low.
- Landing experiences: Segments receive different banners, copy, and product collections.
Before signing
- Confirm the custom quote for selected modules and store scale leaves room for incremental return.
- Decide which modules need ownership across marketing, ecommerce, and development.
- Plan time for data validation, merchandising rules, experiments, and ongoing tuning.
Capabilities
Key features
Reorder category pages
Blend algorithmic ranking with pins, boosts, and exclusions
Refine onsite search
Add typo tolerance, synonyms, filters, and merchandising rules
Personalize page content
Swap banners and copy for selected shopper groups
Build behavioral segments
Group visitors by behavior, affinity, lifecycle, or attributes
Run A/B tests
Compare personalization treatments and measure conversion impact
Keep exploring
Teams also considered
Poor retail search buries relevant stock and costs conversions; Constructor uses shopper behavior to improve product discovery. It is especially good at ranking large catalogs around purchases rather than simple keyword matches.
Klevu is built for ecommerce teams whose large catalogs have outgrown their platform’s default search. They choose it for relevant onsite results, practical merchandising controls, and discovery tools that work across established commerce stacks.
When shoppers cannot put a product into words, Syte uses visual AI to connect images and intent with relevant items across a retailer’s catalog.
Still weighing your options?
Every ranking here is powered by community votes and discussion — no paid placements, ever. Find the tool that actually fits your team.