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Side-by-side comparison

VWO vs Nosto

Compare VWO and Nosto across pricing, features, and fit for your e-commerce stack.

VWO

VWO

A/B testing and conversion optimisation without a developer

Freemium
Visit VWOnorth_east
VS
Nosto

Nosto

AI product recommendations and on-site personalisation for Shopify

Paid
Visit Nostonorth_east

Quick Comparison

VWO
VWO
Nosto
Nosto
PricingFreemium
Paid
Founded2009
2011
Company size201-500
201-500
Verifiedverified
verified

About

VWO

VWO is a full conversion optimisation platform that covers A/B testing, multivariate testing, split URL testing, and personalisation in a single product. The visual editor allows non-developers to create test variants by pointing and clicking on page elements rather than writing code. For Shopify stores, this means testing different product page layouts, CTA button text, pricing displays, or homepage hero sections without needing developer involvement for each experiment. The session recordings and heatmaps provide qualitative context to explain why a variant won or lost, which is the information that turns a test result into a principle you can apply elsewhere. VWO sits at a higher price point than simpler A/B testing tools and is better suited to stores with sufficient traffic to reach statistical significance on experiments within a reasonable timeframe.

Nosto

Nosto specialises in the kind of on-site personalisation that Amazon uses to drive a significant share of its revenue: showing each shopper the products most likely to be relevant to them based on their browsing history, purchase history, and similar customer profiles. This applies to homepage product carousels, category page rankings, search result ordering, and email recommendations. For Shopify brands with broad catalogues, personalisation can meaningfully lift average order value and session depth. The trade-off is implementation complexity. Getting Nosto to learn effectively requires a sufficient volume of sessions and purchases to build meaningful behavioural models, which means it is less impactful for early-stage stores still building traffic. At significant catalogue depth and traffic volume, the automated personalisation often outperforms manually curated product recommendations.

Key Features

VWO

science

A/B and Multivariate Testing

Run split tests on any page element, including headlines, images, CTAs, and layout sections. Multivariate testing evaluates multiple elements simultaneously to find the best-performing combination.

code

Visual Editor

Create test variants without writing code by clicking on page elements in a WYSIWYG editor. Test changes go live via a JavaScript tag without deploying code changes.

people

Audience Personalisation

Serve different page experiences to different audience segments based on traffic source, device, location, or behavioural data. No separate personalisation tool required.

play_circle

Session Recordings and Heatmaps

Qualitative context for experiment results. Watch recordings of visitors on the winning and losing variants to understand the why behind the conversion difference.

Nosto

psychology

Behavioural Product Recommendations

Learns from individual browsing and purchase history to serve personalised product recommendations on every page visit. Models update continuously as new data arrives.

search

Personalised Search

Reranks search results based on the individual shopper's profile rather than a single static relevance algorithm. Products that match their purchasing pattern rank higher.

mail

Email Personalisation

Inserts personalised product recommendations into email campaigns and automation flows. Each recipient sees different products based on their behaviour rather than a static editorial selection.

analytics

Personalisation Revenue Attribution

Tracks revenue generated by personalised recommendations versus standard experiences. A/B testing mode measures the uplift from personalisation rather than assuming it.

Screenshots

VWO

VWO screenshot

Nosto

Nosto screenshot

Ready to choose?

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