Overview
Nosto is an AI-driven Commerce Experience Platform that helps brands increase sales and customer lifetime value through personalized shopping experiences. It combines product recommendations, personalized on-site search, AI merchandising, behavioral pop-ups, and shoppable UGC, powered by real-time behavioral data and predictive AI. It serves 1,500+ global brands.
Our take
Nosto provides ecommerce personalisation priced against GMV and traffic, which places it with mid-market and larger merchants. Personalisation needs volume to learn from — below a threshold it mostly recommends your bestsellers, which a manual rule does for free. The pricing model effectively selects for merchants who have enough data for it to work.
Worth it if
Established merchants with enough traffic and transactions for recommendation models to learn.
Look elsewhere if
Small stores, where personalisation has too little data and the pricing has no floor to sit under.
✨ Features
Predictive Personalization
Real-time behavioral data and AI deliver personalized recommendations and dynamic content.
Personalized Search
On-site search understands shopper intent to return hyper-relevant results.
AI Merchandising
Category merchandising uses AI-driven smart rules and global targeting.
Shoppable UGC
User-generated content like customer photos is integrated into shoppable experiences.
⚖️ Pros & Cons
Pros
Cons
💰 Pricing
Commerce Experience Platform
Custom
- Modular base platform fee plus volume-based fee
- Personalization, search, merchandising, UGC modules
- Pricing scaled to GMV and traffic (quote on request)
Categories
❓ Frequently Asked Questions
How much traffic does personalisation need?
Enough that behavioural patterns are statistically meaningful rather than noise, which in practice means substantial monthly sessions and a catalogue deep enough that recommendation is a real choice. Below that, simple merchandising rules perform comparably and cost nothing.
What does GMV-based pricing mean as I grow?
The cost rises with your revenue, which aligns incentives and removes predictability. Model it at your growth targets rather than current revenue, and check whether the rate steps down at higher bands. A percentage that is comfortable now can be uncomfortable at three times the volume.
