How Jack & Jones Generated 9X ROI from Customer Engagement Platform

How Jack & Jones Generated 9X ROI from Customer Engagement Platform

Key results
Marketing ROI Generated
Contribution to total revenue through personalization
Increase in add-to-cart rate on PLP
Contribution to total products added to cart

Company:  JACK&JONES is one of Europe’s leading producers of menswear, with more than 1000 stores across 38 countries.

Industry:  Ecommerce

Location: Global

Category: Personalized product recommendations, Customer Engagement, AI Engine- Raman

Solutions used:  Netcore Personalization, Customer Engagement


  • Product discovery challenge:

    With over tens of 1000s of products in various styles, making accurate product recommendations was a challenge

  • Low customer engagement on website:

    Low user engagement on the website caused customers to leave the website without making a purchase, resulting in lower conversion rates

  • Lack of personalization:

    Unavailability of an AI-powered product recommendation engine made it difficult to curate personalized experiences for each user

  • Low conversion rate:

    Absence of relevant personalized recommendations negatively impacted the conversion rate


Netcore Cloud’s strategy:

Netcore’s AI-led Customer Engagement and Personalization solution helped ‘Jack & Jones’ by:

  • Ramping up customer engagement across multiple channels:

    Automated campaigns triggered to engage with the right customer at the right time across touchpoints like – Website, Emails, Web Messages, and Web Push Notifications

  • Deployment of our AI engine, Raman and Neural Networks:

    To understand customers in real-time and show them personalized product recommendations based on what is most likely to be bought

  • Designing and deploying personalized widgets:

    AI-led personalized product recommendation widgets were deployed across the customer journey


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