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Curated ToolThis tool is part of our curated AI directory. We only include tools that meet our standards for relevance, usability and real-world value.

Nosto

AI ecommerce personalization: recommendations, search, merchandising

Conversion Optimization
Nosto helps ecommerce teams personalize product discovery and merchandising across an online store. Its platform uses AI and shopper behavior data to power product recommendations, personalized search, category merchandising, A/B testing, and post-purchase offer experiences. It is built for commerce teams that want more control over search and merchandising while using automation to tailor shopping experiences at scale.
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FYAI Score

8.3 / 10

Based on 235 reviews

Pricing:

Enterprise

Best for:

Ecommerce teams optimizing onsite discovery and merchandising

Score Breakdown

  • Ease of use8.3 / 10
  • Features8.9 / 10
  • Pricing7.4 / 10
  • Integrations8.2 / 10
  • Support8.3 / 10

PRODUCT PREVIEW

What this AI tool does

Nosto is an AI-assisted personalization tool designed for online retailers who want to tailor what shoppers see as they browse. It helps teams use customer and behavioral data to adjust product recommendations and on-site content so the experience feels more relevant without requiring manual updates for every segment. In practice, it’s used to support ecommerce personalization across key touchpoints such as category pages, product pages, and search results. Merchandising and marketing teams can use it to test different approaches, understand what drives engagement, and refine how products are presented based on performance. This tool page is intended to give an informational overview of how nosto fits into a typical ecommerce stack, what kinds of data it relies on, and the types of outcomes it’s commonly used to measure, such as conversion rate and average order value.

Use cases

Best for

Product Recommendations

Nosto uses shopper behavior to serve personalized product recommendations on product, cart, and category pages.

Conversion Rate Optimization

Run A/B tests on search, recommendations, and merchandising rules to measure lift and iterate on site experiences.

Catalog Management

Manage your catalog by enriching product data and using rules to control category sorting and product visibility.

ANALYSIS

Strengths & limitations

Strengths
  • Covers several connected ecommerce experience functions in one platform, including recommendations, search, merchandising, and testing.
  • Uses real-time behavioral data and AI to personalize product discovery rather than relying only on static rules.
  • Designed for commerce teams with prebuilt templates, APIs, integrations, and controls intended to reduce dependence on development resources.
Limitations
  • The product is specifically oriented toward ecommerce, so it is not a general-purpose personalization or search tool for non-retail websites.
  • The supplied official page does not provide pricing details, so cost and plan fit cannot be evaluated from the available content.
  • Some newer agentic AI capabilities are described at a high level, but the supplied content does not fully specify their operational limits or implementation requirements.

Evaluation

FYAI score breakdown

Our structured evaluation across five key criteria

8.3 / 10

Overall score

Based on 235 reviews

  • Ease of use8.3 / 10
  • Features8.9 / 10
  • Pricing7.4 / 10
  • Integrations8.2 / 10
  • Support8.3 / 10

What users say

Findings from public reviews, documentation and community sources.

  • Ease of use

    Nosto's website describes an “intuitive UI,” “out-of-the-box commerce features,” and “speedy set up via API or pre-built templates.” Nosto's website includes a customer quote saying the product is “easy to handle.”

  • Features

    Nosto's pricing page lists ecommerce marketing modules including “Product Recommendations,” “Personalized Search,” “Dynamic Bundles,” and “Shoppable UGC.”

  • Pricing

    Nosto's pricing page says pricing uses a “base platform fee” plus a fixed fee based on “GMV turnover and traffic,” selected modules, and support/scalability level. Nosto's pricing evidence describes quote-based pricing with “no standard self-service free trial.”

  • Integrations

    Nosto's ecommerce technologies integrations page says it integrates with “leading commerce technologies” to sync with different business areas. Nosto's ecommerce technologies integrations page names ecosystem connections including Klaviyo, Yotpo, and Dotdigital.

  • Support

    Nosto's pricing page says all customers get access to a “comprehensive Help Center” and AI agent Huginn. Nosto's pricing page says Professional and Enterprise customers receive “priority support and dedicated Customer Success alignment.”

Who is this for?

Best for ecommerce teams that want modular personalization across shopping and marketing touchpoints, Nosto's pricing page lists modules including “Product Recommendations,” “Personalized Search,” “Dynamic Bundles,” and “Shoppable UGC.” Less suited to teams that need self-serve trial-and-buy pricing, Nosto's pricing is quote-based and has “no standard self-service free trial.”

PRODUCT PREVIEW

Feature highlights

AI Recommendations

Personalize product picks across pages using shopper behavior data.

Personalized Search

Tailor search results to each shopper to boost findability and sales.

A/B Testing

Test merchandising changes and measure lift to optimize performance.

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Turn every visit into a tailored shopping journey. See why leading retailers use Nosto to lift conversions, grow AOV, and build loyalty with personalization that feels effortless.

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FAQ

Frequently asked
questions

Everything you need to know about this AI tool,
its features, pricing, use cases, and limitations.

When is Nosto a good fit, and when should I consider alternatives?
Nosto fits best for mid-market to enterprise eCommerce teams that want on-site personalization (recommendations, merchandising, and dynamic content) tied to behavior and catalog data. It’s especially useful if you have enough traffic and product breadth to benefit from segmentation and testing. If you’re a very small store, have minimal data, or need highly bespoke logic across many channels, a lighter tool or a CDP-first approach may be a better match.
Does Nosto have a free plan, and what are the practical limitations?
Nosto is typically sold as a paid platform, with pricing that varies by modules and scale rather than a broad, self-serve free tier. If you’re comparing options, assume core capabilities like advanced personalization, merchandising controls, and deeper analytics are gated behind paid plans. For budget-sensitive teams, confirm minimum contract terms and which modules are included before committing.
How does Nosto compare with Dynamic Yield, Bloomreach, or Klaviyo personalization?
Nosto is strongest for on-site product recommendations and merchandising workflows that marketers can run without heavy engineering. Dynamic Yield and Bloomreach often go deeper on enterprise experimentation and broader experience orchestration, but can require more implementation effort. Klaviyo is primarily email/SMS; it can personalize messaging well, but it’s not a full replacement for on-site merchandising and recommendation control.
How quickly can I get Nosto live, and what onboarding effort should I expect?
Cost can be a deciding factor, particularly for smaller retailers that won’t fully use multiple modules. Some teams find out-of-the-box customization limits when they need very specific business rules or unique storefront experiences. Performance also depends on data quality—weak tracking or incomplete catalog attributes can reduce personalization impact.
What should I know about Nosto data handling, privacy, and compliance?
Nosto relies on behavioral and transactional data to power personalization, so you’ll need clear consent management and accurate event collection. Verify how data is stored and processed (including sub-processors), retention settings, and whether you can configure data minimization for your use case. If you operate in regulated regions, confirm GDPR/CCPA support, DPA availability, and how user deletion/DSAR requests are handled.