Case Studies

Personalized marketing strategy to reduce customer churn

Posted by | Fuld & Company

Enabling data-driven decisions for the marketing team using unsupervised machine learning and optimization

Challenge

A European beauty and wellness retailer wanted to reduce the high churn of ‘loyal customers’ using personalized marketing while creating a single source of truth for customer transactions.

Solution

We leveraged our data analytics capabilities to create a succesful solution for the retailer:

  • A single source of truth was built by merging offline sales, online sales, and customer ID data into a single data source
  • Customers where then segmented using optimization and unsupervised learning, and engagement paths identified for each of the segments to ensure highly targeted personalized strategies in future marketing campaigns
  • As the final step, distinct personas were created for the marketing team for each of the respective segments

Impact

  • The marketing team were able to develop personalized marketing content for each of their client segments
  • The client saw a 5% increase in annual sales from its targeted marketing

Tags: , ,

Related Resources

Read More

​How Smart Licensing of a Clinical-Stage Degrader Strengthened Oncology Pipeline

​Objective  ​A US-based biopharma company aimed to expand its immuno-oncology pipeline by in-licensing immuno-oncology strategies through a differentiated clinical-stage targeted […]

Read More

How Deeper Intelligence Shifted a SaaS Leader’s Competitive Strategy

A leading US SaaS company needed to understand the potential threat of a successful new start-up. From publicly available market […]

Read More

Thought Leadership for a PE Firm’s Portfolio Companies  

A leading US-based Private Equity firm wanted to strengthen the market positioning of its portfolio companies through high-quality thought leadership. […]

Subscribe to our mailing list for our latest updates:

Subscribe Now