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Online Merchandising

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

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.

    Home page
  • 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.

    Catalogue page
  • 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.

    Sale and promo pages
  • 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!

    Product page
  • Website and mobile app checkout page

    Stimulate cart expansion additional and increase average order value.

    Checkout page
  • 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.

    Account page
  • 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.

    Error page
  • 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%.

    Emails

How the module works

  • Integration
    1.

    Integration

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

  • Analysis
    2.

    Analysis

    Aggregating Big Data on customer behavior and merchandise trade matrix for further analysis.

  • Product recommendations launch
    3.

    Product recommendations launch

    Set up recommendations widgets on your website, in mobile app and emails.

  • Hypothesis testing and sales boost
    4.

    Hypothesis testing and sales boost

    Take the advantage of continuous testing and artificial intelligence.

Request a demo
Get access to Retail Rocket expertise

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.

The profit you get

  • Increase conversion and average order value

  • Real-time product recommendations your customers actually require

  • Save time and resources — we provide integration technical support

  • Quickly test new marketing hypothesis

  • Boost LTV and revenue

  • Adjust product recommendations by region-specific prices and availability

Thousands of clients worldwide

generated €385 981 789 additional revenue last year using Retail Rocket

  • Vans
  • Ашан
  • myToys
  • OTTO
  • Nespresso
  • Groupon
  • Hoff
Посмотрите, как работает Email Marketing Platform

Learn how Online Merchandising works

Please fill in all form fields and we will contact you shortly. We will show you how the Online Merchandising performs and answer all your questions.

We can jump on an intro-call, visit you or arrange a meeting at the Retail Rocket office.

Request a demo

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