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Data Driven Customer Churn Prevention

Improving brand loyalty in the retail sector

Major Consumer Packaged Goods Manufacturer

Challenge

Data Driven Customer Churn Prevention - Challenge
  • Our client experience large percentage of customer churn.
  • There was no proper metrics to determine the cause of customer churn.
  • Putting a pin on common causes such as price, product availability, competition was difficult due to variety of products and market dynamics.
  • Business was unable to roll out promotions and initiatives to arrest the churn since the underlying cause was unclear.
Data Driven Customer Churn Prevention - Challenge
Data Driven Customer Churn Prevention - Solution

Solution

Data Driven Customer Churn Prevention - Solution
  • Targeting high value brand buyers who are at the risk of Lapsing.
  • Drive rule driven automation that puts consumer considerations first to effectively segment consumers against the most relevant brands.
  • Interrogate model outputs to drive actionable segments for key business objectives to create addressable audiences that can be activated , measured and automated as a scalable proposition.

Technologies

Google Cloud
Google BigQuery
Google API Gateway
LiveRamp
Tableau
PySpark
Python

Benefits

Data Driven Customer Churn Prevention - Benefits
  • Migrate switchers and / or at -risk lapsers to more loyal brand buyers by increasing Share of requirements and Incremental sales.
  • Predictive models combined with marketing automation provides an opportunity to retain more consumers , generating incremental sales over the time.
  • Better targeted and highly personalized to a moment.
  • Positive sentiment, brand awareness, shared with network.
Data Driven Customer Churn Prevention - Benefits