What Nosto does
Nosto is a modular commerce experience platform for personalized search, categories, recommendations, bundles, content, testing, and shopper segments.
Nosto combines a shared intelligence layer with modular product and content experiences. It can personalize search and category ordering, generate recommendations, build dynamic or AI-assisted bundles, segment audiences, personalize onsite content, run tests, and activate shoppable user-generated content. The integration copies the store catalog and observes browsing and purchase behavior, while placements define where campaigns appear. This creates continuity across discovery surfaces: the same product, customer, and performance signals can inform a category grid, search result, recommendation carousel, email widget, or content variation.
Merchandising rules let operators blend relevance with product attributes, inventory, conversion, margin, turnover, customer affinities, filters, and manual pins. That flexibility demands careful simulation. A global rule can distort every query; an out-of-stock pinned product behaves differently depending on configuration; and parent-child variants, customer-specific pricing, translations, or multi-currency catalogs can be mapped incorrectly. Teams should preview representative queries and segments, validate inventory and eligibility, protect sensitive margin data, disclose tracking, and use A/B tests with customer-experience guardrails instead of optimizing only short-term revenue.
Nosto does not publish rigid plan prices. Quotes combine a base platform fee with selected modules, store GMV, traffic, support, and scalability; AI is included within modules. There is no standard self-service free trial, although qualified merchants can run a structured proof of concept using their store data. Procurement should model seasonal peaks and clarify implementation, SLA, overage, environments, data regions, retention, and exit or export. Because Nosto processes catalog, behavioral, transaction, and potentially customer data, organizations should review its current data-processing terms, consent configuration, access controls, subprocessors, and deletion workflow before launch.
How Nosto works
Nosto replicates the product catalog and captures permitted shopper interactions, then experience.AI develops affinities, segments, and performance signals. Selected modules rank search and categories or fill storefront placements with products and content, while merchant rules, previews, and experiments constrain what shoppers see.
Build the commerce data foundation
Nosto copies the store catalog and configured product, variant, price, inventory, language, and category fields, then receives permitted browsing and transaction events through its integration and onsite script.
Develop affinities and performance signals
Experience.AI uses shopper behavior, product relationships, segments, and commerce metrics to determine relevant search, category, recommendation, bundle, or content candidates for each placement.
Apply rules and storefront controls
Operators blend AI relevance with boosts, weights, filters, pins, inventory, margin, campaign goals, and segment logic. Preview and experiment settings expose how global and targeted rules change shopper results.
Audit live experience and consent
Teams check variants, localized price, stock transitions, hidden fields, tracking consent, placement failures, relevance, and customer outcomes. Controlled tests and human approval govern broader rollout and rule changes.
How to set up Nosto
Model the catalog accurately
Document parent and child products, variants, inventory, customer groups, prices, currencies, languages, categories, margin fields, exclusions, and the authoritative update source.
Define tracking and consent
Map page, search, cart, and purchase events; minimize identifiers; align cookies and profiles with regional consent; and keep sensitive fields out of browser-visible responses.
Choose modules and a proof of concept
Request a quote for realistic GMV, traffic, support, and peak load, then test one search, category, recommendation, bundle, or content surface against a baseline.
Configure merchandising safeguards
Start with one global rule, add query or category exceptions carefully, set out-of-stock and pin behavior, preview segments and variants, and require approval for margin-driven changes.
Measure and maintain
Run a controlled test, review relevance and customer outcomes alongside revenue, monitor feed freshness and placement failures, and regularly audit rules, access, consent, and retained data.
Nosto FAQs
How much does Nosto cost?
Nosto uses custom pricing with a base platform fee plus selected modules and factors such as GMV, traffic, support, and scalability. A sales quote is required.
Does Nosto offer a free trial?
It does not offer a standard self-service trial. Nosto says qualified merchants can use a structured proof of concept with their own store data.
What data does Nosto use for personalization?
Its documentation describes a replicated product catalog plus browsing, search, cart, purchase, transaction, and other configured signals used to build profiles, affinities, and performance insights.
Can merchandisers override Nosto's AI?
Yes. Rules can boost, bury, filter, pin, and weight products using attributes and performance signals. Teams should preview and test because broad rules can damage relevance.
What happens to pinned out-of-stock products?
Behavior depends on the configured out-of-stock policy. They may be removed, remain pinned, or display differently, so retailers must test inventory transitions explicitly.
Listing reviewed 2026-07-15. Product details and pricing can change; verify important terms on the provider's website.
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