Store Experience & Conversion AI

Nosto

Nosto is a commerce-experience platform for mid-market and enterprise teams that need to manage search, recommendations, merchandising, content, and shoppable UGC across the shopping journey. Its AI adjusts product-discovery experiences based on real-time shopping behavior, helping operators improve relevance and conversion with less reliance on extensive manual rules.

Platforms
Shopify · Magento · BigCommerce · PrestaShop · Salesforce Commerce Cloud
Visit official website: Nosto
Nosto official product page or product image
Official product-page image source

Buying view: Nosto is aimed at mid-market and enterprise stores that want recommendations, search, merchandising, content personalization, experiments, and UGC in one commerce-experience platform. A useful evaluation needs reliable catalog and behavior data plus controlled tests; a vendor conversion-lift range does not prove the result for a particular store.

Capabilities

Nosto uses catalog, shopper behavior, audience, and transaction data to control what products, search results, content, popups, or shoppable UGC a visitor sees, then compares experiences with experiments and reporting. Its biggest advantage is one merchandising and personalization layer across several onsite surfaces: placements decide where an experience appears, segments decide who sees it, and rules or algorithms decide what is shown.

What problem it addresses

Commerce teams need search, recommendations, merchandising, content, experiments, and UGC to respond to the same catalog and shopper signals.

How people use it

It provides AI-powered product recommendations with behavioral targeting, intelligent site search with semantic query understanding, and dynamic content personalization across web, mobile, and email.

Personalize product recommendations

The merchant chooses a placement and audience, selects a recommendation type and rules, configures the visual template and fallback, then activates and measures the experience.

Personalize product recommendationsThe merchant chooses a placement and audience, selects a recommendation type and rules, configures the visual template and fallback, then activates and measures the experience.Choose placement andsegmentSet recommendationrulesConfigure templateand fallbackActivate experienceTest and measurePersonalize product recommendationsThe merchant chooses a placement and audience, selects a recommendation type and rules, configures the visual template and fallback, then activates and measures the experience.Choose placement and segmentSet recommendation rulesConfigure template andfallbackActivate experienceTest and measure
Merchandise search results

The team implements search and defines ranking or merchandising rules; shoppers receive ordered results, and performance data guides the next rule change.

Merchandise search resultsThe team implements search and defines ranking or merchandising rules; shoppers receive ordered results, and performance data guides the next rule change.Index catalog andbehaviorImplement searchsurfaceSet ranking rulesServe shopperresultsReview and adjustMerchandise search resultsThe team implements search and defines ranking or merchandising rules; shoppers receive ordered results, and performance data guides the next rule change.Index catalog and behaviorImplement search surfaceSet ranking rulesServe shopper resultsReview and adjust
Run a targeted content experience

The merchant chooses a site placement and audience, prepares content or UGC, applies schedule and conditions, and tests the experience against a control where configured.

Run a targeted content experienceThe merchant chooses a site placement and audience, prepares content or UGC, applies schedule and conditions, and tests the experience against a control where configured.Choose siteplacementSelect audiencePrepare content orUGCActivate withconditionsCompare experimentresultsRun a targeted content experienceThe merchant chooses a site placement and audience, prepares content or UGC, applies schedule and conditions, and tests the experience against a control where configured.Choose site placementSelect audiencePrepare content or UGCActivate with conditionsCompare experiment results

What each module does and its role

Product recommendations

AI-powered product recommendations with behavioral targeting. Teams use it to support product discovery and identify the next product, keyword, audience, or content item to act on.

Site search

Intelligent site search with semantic query understanding. Teams use it to support product discovery and identify the next product, keyword, audience, or content item to act on.

Content personalization

Dynamic content personalization across web, mobile, and email. Teams use it to create or distribute customer-facing content for the next campaign or publishing step.

Behavioral pop-ups

Behavioral pop-ups and overlays appear when a configured visitor or session condition is met, such as exit intent or another eligible shopping signal. Merchants choose the audience, message, timing, frequency, and destination, then use performance data to reduce interruption and improve the offer.

A/B testing

Built-in A/B testing and experimentation for personalization strategies. Teams use it to review performance and guide reporting, optimization, or follow-up actions.

Shoppable UGC

Shoppable UGC integration following Nosto's acquisition of Stackla. Commerce teams curate eligible customer content into product-linked placements that shoppers can use during discovery.

Post-purchase upsell

Post-purchase upsell uses one-click offer pages. Shoppers can accept the additional offer from that page after completing the original purchase.

Analytics and merchandising dashboards

Real-time analytics and merchandising performance dashboards. Merchandisers inspect these views before adjusting search, recommendations, content, or product rankings.

Commercial plans

This table reflects the current public pricing surface checked on 2026-09-03. Each row keeps the plan's documented allowances, capabilities and separately priced add-ons together so the tiers can be compared without treating the headline price as the whole offer.

Nosto product clouds

Product or sales surfaceScopePublic price and status
Product Experience Cloud

For teams purchasing product discovery and merchandising capabilities.

Included plan entitlements
  • AI product recommendations
  • Intelligent site search
  • Behavioral targeting and merchandising controls
  • Experimentation and performance analytics
Custom quote
Content Experience Cloud

For teams activating personalized content and shoppable customer media.

Included plan entitlements
  • Dynamic content personalization
  • Behavior-triggered pop-ups and overlays
  • Shoppable UGC through the Stackla product line
  • Content testing and experience analytics
Custom quote

Comparable tools: price and workflow

ToolWorkflow differenceOfficial public price reference
Algolia AI Shopping Assistant

Algolia AI Shopping Assistant: AI search, recommendation, and product-discovery platform for ecommerce sites and apps. Nosto: Commerce-personalization platform combining search, recommendations, content, and UGC.

$0 (10K requests/month)
Dynamic Yield

Dynamic Yield: Personalization, product recommendations, and controlled testing for larger ecommerce teams. Nosto: Commerce-personalization platform combining search, recommendations, content, and UGC.

No installation charge; a paid Dynamic Yield account is required
Bloomreach Loomi

Bloomreach Loomi: Three official products: Autonomous Search, Conversational Shopping, and Autonomous Marketing. Nosto: Commerce-personalization platform combining search, recommendations, content, and UGC.

Contact sales
Rebuy

Rebuy: Shopify merchandising, cart, search, checkout, and post-purchase personalization. Nosto: Commerce-personalization platform combining search, recommendations, content, and UGC.

$534/month at the current default calculator settingMonthly-order volume changes the price10% annual-billing savings advertised
Octane AI

Octane AI: Shopify product quizzes and AI shopping guidance powered by zero-party data. Nosto: Commerce-personalization platform combining search, recommendations, content, and UGC.

$50/month; 400 credits and up to 2 quizzes

Frequently asked questions

How does Nosto fit into an ecommerce workflow?

The store connects catalog and shopper-behavior data, chooses where search, recommendations, personalized content, popups, or UGC appear, sets merchandising and audience rules, and uses experiments and reporting to compare each experience with its control.

How is Nosto priced?

The public price references shown here are: Product Experience Cloud: Contact sales; Content Experience Cloud: Contact sales.

What is the main Nosto boundary to check?

A useful evaluation needs reliable catalog and behavior data plus controlled tests; a vendor conversion-lift range does not prove the result for a particular store.

Native connections

OmnisendNosto personalized product widget → Omnisend email

Embed an activated Nosto personalized-email widget in Omnisend campaigns or automations using the documented contact-email variable and HTML block.

Omnisend: Integrate Nosto

Sources

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