Predicting Customer Adoption of Multi-Lock Authentication and Enabling Targeted Marketing Strategies for a Leading Corporate Services Organization

Industry:

Corporate Services

Region:

USA

Technology:

Python, Jupyter

About the Client

Our client, America’s leading corporate services provider, offers entity formation, statutory compliance, legal matter management, and online brand protection services to Fortune 500 companies. Over 3,000 financial enterprises continue to benefit from their services. Headquartered in the United States, the client has a strong business presence across the USA, Canada, Europe, and the Asia-Pacific region. Evoke supports the client across a wide range of data science projects aimed at delivering business value and is actively involved in developing enhancements to business processes.

Challenges

The business challenges our client is facing include:

  • Predicting Customer Adoption of Multi-Lock Authentication: The client faced a challenge in predicting which customers are likely to opt for the multi-lock authentication service in the future
  • Identifying Key Adoption Drivers: The client also struggled to determine the key factors or variables that significantly influence a customer’s decision to adopt the multi-lock authentication service
Solutions

Our experts conducted extensive data analysis and developed a predictive model to identify customers most likely to adopt the multi-lock authentication service. The following approach was adopted:

  • Statistical Analysis and Feature Engineering
  • Model Development
  • Customer Segmentation
  • Feature Importance Analysis
  • Actionable Recommendations
  • Model Explainability
Results
  • Targeted Marketing Strategies
  • Increased Stakeholder Trust and Transparency
  • Enhanced Security
  • Improved Customer Satisfaction

Read The Full Case Study

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