Background
Our client is one of the largest and most stable financial institutions in the world with a presence in 70 countries and more than 200,000 employees. The company wanted to take full advantage of its data analysis insights in order to convert indirect customers from partner engagements into direct customers, thus increasing sales.
Challenge
The client wanted to optimize the effectiveness and ROI of their marketing campaigns by being able to identify the customers most likely to convert, and then offering the most relevant products through the most appropriate channels.
Approach
Keyrus created predictive buyer scoring models that identify and prioritize different customer segments based on their propensity to purchase services. Reports were then created with actionable and valuable insights for the marketing team. This information on user behavior allowed the marketing team to offer personalized services and products through the ideal channels, increasing the ROI of their campaigns.
Key results
Benefits
With a better understanding of user behavior and preferences, our client was able to optimize their marketing investment by targeting the users most likely to become customers, through the right channels and with a fully personalized product and service offering. This data-driven approach to their marketing strategies led to an improvement in campaign ROI and an increase in sales.
Technology partners
Python
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