Online Merchandising

Create personalized version of your website, mobile app and email for each customer based on their interests and purchase history.

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Solution benefits

Increase your average order value and revenue with personalized product recommendations
Adjust your content to customer’s region taking into account local product stocks and prices
Test marketing hypothesis and launch continuous optimization

Technology overview

Artificial Intelligence (AI) is the cornerstone of Online Merchandising. It adjusts your website, mobile app and emails in real time offering personalized products and services the customer is most likely to buy.

AI aggregates data about each customer’s behavior and purchase history and therefore continuously learns more about your clients.

If the online store has various stocks in different cities or countries, Online Merchandising tool will only recommend products the customers can purchase in their region.

Personalize your website and mobile app

Website and mobile app home page
Show your customers personalized bestsellers, new arrivals that match their purchase history and real-time personalized product recommendations based on their recent activity.

Product recommendations are based on viewed products data, purchase history, recent search requests and carts.
Website and mobile app product categories
Add bestsellers and novelties relevant to your customers’ behaviour to your catalogue page..

Product Recommendations are based on viewed products data, purchase history, customer search requests and carts.
Website and mobile app promo and sale pages
Place personalized a set of promoted products sorted by their popularity. Recommendations are based on real-time customer behavior analysis.
Website and mobile app product page
Use different cross-sell and upsell strategies: related products, similar products and most popular products in the category.

Boost average order value, reduce bounce rate and help your customers navigate the website. Product recommendations are adjusted in real-time based on customers’ behaviour!
Website and mobile app checkout page
Stimulate cart expansion additional and increase average order value.
Website and mobile app account page
Show your customers personalized bestsellers, new arrivals and special offers that match their purchase history and real-time personalized product recommendations based on their recent activity.

Product recommendations are based on viewed products data, purchase history, recent search requests and carts.
Website and mobile app error page
Show your customers personalized bestsellers, new arrivals that match their purchase history and real-time personalized product recommendations based on their recent activity.

Product recommendations are based on viewed products data, purchase history, recent search requests and carts.
Predictive Emails
Online Merchandising AI-based technology learns about customer’s behavior on the website and in mobile app and sends emails offering products the customer is likely to require soon.

Next Best Offer emails average KPI's:

Open Rate — 20,6%,

CTR — 13,3%,

Conversion to orders — 15,91%.

How the module works

1.
Integration

Smart algorithms tuning and recommendations widgets layout coding for your website, mobile app and emails.
2.
Analysis

Aggregating Big Data on customer behavior and merchandise trade matrix for further analysis.
3.
Product recommendations launch

Set up recommendations widgets on your website, in mobile app and emails.
4.
Hypothesis testing and sales boost

Take the advantage of continuous testing and artificial intelligence.

Get access to Retail Rocket expertise

Our Growth Hacking team knows how to get the most of Retail Rocket technologies.

We set up the hypothesis testing plan for each customer and launch tests to check algorithms, page placements and visual elements.

We share the results with your marketing team and explain how to use them to increase average order value and revenue and send customers products they actually require.

Our team has implemented Retail Rocket technologies for 1000+ customers and executed 7000+ tests. We work accurately and know exactly which decisions work or not.