VEROMODA

Global Fashion Brand VERO MODA Achieves 18X ROI from Netcore Cloud’s Customer Engagement and AI-led Personalization Suite

Key Results
18X
Marketing ROI Generated
6.7%
Contribution to total revenue
159%
Increase in add-to-cart rate on PLP
121%
Increase in purchase rate on PLP

Global Fashion Brand VERO MODA Achieves 18X ROI from Netcore Cloud’s Customer Engagement and AI-led Personalization Suite

Product Categories: Personalization, Customer Engagement

Company:  VERO MODA is a one-stop fashion destination for young women, with around 167 exclusive brand outlets worldwide.

https://www.veromoda.in/

Industry:  Ecommerce

Location: Global

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

Solutions used: Netcore Personalization, Customer Engagement

Challenges:

  • Product discovery challenge: With over thousands of products of various styles in the product catalogue, showing 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 ‘Vero Moda’ 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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