Skip to main content
Paid
Nosto logo
paid

Nosto

Verified 40 minutes ago
Compare Alternatives Claim this listing
About Nosto 18s read
1 min read

Nosto is an AI e-commerce personalisation platform that delivers product recommendations, personalised search, and flexible content to increase conversion rates. It analyses individual shopper behaviour in real time to tailor the entire storefront experience, from homepage banners to category pages and checkout upsells. Nosto integrates with major e-commerce platforms including Shopify, Magento, and BigCommerce.

Best for: Mid-market to enterprise e-commerce brands seeking capable on-site personalisation to drive revenue growth.
Global availability
Screenshot
Key Features
  • Real-time product recommendations
  • Personalised onsite search
  • Dynamic content personalisation
  • A/B testing and optimisation
  • Multi-channel personalisation
Pros & Cons
What we like
Deep personalisation across the entire shopping funnel
Strong integrations with major e-commerce platforms
Proven uplift in average order value and conversion rates
What to consider
Premium pricing can be prohibitive for smaller merchants
Initial setup and onboarding can be complex
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Nosto!

Log in to leave a review.

You might also like
Wolfram Alpha W
Wolfram Alpha
freemium
Recharge R
Recharge
paid
AssemblyAI A
AssemblyAI
freemium
User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Trending Now
Claude AI Learning Brain OpenAI Operator
Tool Info
Verified 40 minutes ago
Pricing paid
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 28, 2026
Check Current Pricing
Related Tools
Wolfram Alpha freemium Recharge paid AssemblyAI freemium Omnisend freemium
Compare

See how Nosto stacks up against alternatives.

vs Wolfram Alpha vs Recharge vs AssemblyAI
Pricing
Paid
Visit Tool
Best For

Mid-market to enterprise e-commerce brands seeking capable on-site personalisation to drive revenue growth.

Embed this tool

Add a link badge to your website or blog:

People Also Viewed

Wolfram Alpha
Wolfram Alpha
Freemium
 Recharge
Recharge
Paid
 AssemblyAI
AssemblyAI
Freemium
 Omnisend
Omnisend
Freemium