
Nosto
6.5/10AI-driven commerce experience platform that gives online retailers personalized search, product recommendations, merchandising, pop-ups, A/B testing and shoppable UGC.
Data last updated November 2026 · Our methodology
Overview
Nosto is a Helsinki-based commerce experience platform for online stores. It personalizes the shopping journey on the storefront, not in the inbox. The product comes in two suites. The Product Experience Cloud covers personalized and AI search, category merchandising, product recommendations, post-purchase upsell, dynamic bundles and recommendation blocks for email. The Content Experience Cloud covers A/B testing and optimization, content personalization, behavioral pop-ups and shoppable user-generated content, which came from Nosto's 2021 purchase of Stackla. An AI layer called Experience.AI and an agent named Huginn sit under both suites and handle segmentation, insights and automation. Nosto also bought the search providers SearchNode and Findologic. The platform fits mid-market and enterprise retailers on Shopify, Shopify Plus, Salesforce Commerce Cloud, Adobe Commerce, BigCommerce and Shopware. Brands such as Muji, Vuori and Marc Jacobs appear among its 1,500+ customers. It connects to Klaviyo, Attentive, Yotpo, Tapcart, Trustpilot and Google Analytics. Developers get GraphQL and REST APIs, a JavaScript API, React and Web Components libraries, and native mobile support. Pricing is quote-only. You pay a base platform fee plus a fee based on store GMV and traffic, and the total depends on which modules you choose and what support and scalability level you need. AI features come with every module at no extra cost. The optional Product Scalability Package adds a 99.99% uptime SLA and dedicated infrastructure. There is no self-serve trial, only a structured proof of concept for qualified merchants. The main limitation is that Nosto does not send email or SMS campaigns itself. It adds recommendations and on-site experiences next to an ESP such as Klaviyo. Reviewers also say pricing is opaque and becomes expensive for smaller, low-traffic stores.
Our Rating
AI Software6.5/10
Marketing6.5/10
Who Nosto is best for
Best software for E-commerceGood fit
Every module is built for online retailers, with native connectors for Shopify, Salesforce Commerce Cloud, Adobe Commerce, BigCommerce and Shopware.
It offers SLAs, dedicated infrastructure, 24/7 monitoring and customers such as Marc Jacobs and Douglas, though some large brands move to Dynamic Yield.
Pricing scales with GMV and traffic, and reviewers say it pays off for stores with enough traffic for the AI to learn from.
Merchandising and ecommerce marketers can build tests, pop-ups and segments in a visual editor without developer help.
Less suited
GraphQL, REST, JS API, React and Web Components libraries support headless and mobile builds.
Independent reviews say low-traffic stores or stores on tight budgets may not get enough value for the cost.
Pros & Cons
Pros
- Covers search, recommendations, merchandising, bundles, pop-ups, A/B testing and UGC in one platform, so retailers need fewer separate point tools.
- The A/B testing module supports A/B/n, multivariate and multi-armed bandit tests, with a choice of Bayesian or Frequentist statistics.
- Reviewers on G2 and the Shopify App Store (4.7 from 62 reviews) often praise its customer success managers and support.
- Developers get GraphQL, REST and JS APIs plus React and Web Components libraries for headless and mobile builds.
- Native connectors cover major commerce platforms, including Shopify Plus, Salesforce Commerce Cloud, Adobe Commerce, BigCommerce and Shopware.
Cons
- No public pricing. Quotes scale with GMV and traffic, and reviewers describe the cost as high for smaller stores.
- It does not send email or SMS campaigns itself. It adds recommendations to emails sent through an ESP such as Klaviyo or Dotdigital.
- Some 2025 reviewers call the analytics and reporting weak and say dynamic bundles do not always work as expected.
- Reviewers say it takes time to learn the full feature set, and some report integrations that do not always work.
- Some reviews mention difficulty canceling contracts and price increases at renewal.
Key Features
Nosto Pricing
Custom (modular platform)
- AI capabilities included in every module at no extra cost
- Help Center and Huginn AI agent support for all customers
- Base platform fee plus a fee based on store GMV and traffic
- Professional tier gets priority support and Customer Success alignment
- Proof of concept available for qualified merchants instead of a free trial
- Choose modules from the Product Experience Cloud and the Content Experience Cloud
Enterprise
- SLAs
- Dedicated support
- Advanced scalability
- Optional Product Scalability Package with 99.99% uptime SLA, dedicated infrastructure and 24/7 proactive monitoring
Frequently Asked Questions
No. Pricing is custom: a base platform fee plus a fee based on store GMV and traffic, adjusted for the modules and support level you pick. You get a quote after a demo.
There is no self-serve free trial. Qualified merchants can ask for a structured proof of concept that runs on their own store data and is installed through the app store.
Nosto's Personalized Emails product adds live recommendation blocks to emails you already send through an ESP, such as Klaviyo or Dotdigital. Its pages do not describe a built-in sending engine.
Shopify, Shopify Plus, Salesforce Commerce Cloud, Shopware, Adobe Commerce and BigCommerce. Headless sites and native mobile apps can connect through its GraphQL API.
Enterprise customers can add the Product Scalability Package, which includes a 99.99% uptime SLA, dedicated infrastructure and 24/7 proactive monitoring.
Nosto states it complies with GDPR. It publishes a customer data processing agreement as part of its terms and offers a GDPR REST API. We found no public ISO 27001 or SOC 2 attestation.
A/B, A/B/n, multivariate and multi-armed bandit tests on page layouts, recommendation logic, search ranking, cart flows, pop-ups and banners. Tests can target specific segments, and you can choose Bayesian or Frequentist statistics.
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