Data driven identification of churn factors
Enhanced customer lifetime value
Significant increase in retention rates
The customer, an American wholesale manufacturer, and distributor of bakery ingredients and products wanted a system to identify consumers who were more likely to dissociate with the brand so they can take preventive measures.
Google Cloud Platform
Google Compute Engine
Google BigQuery
Google AI Platform
Google Ads
Cloud Storage
Cloud IAM
Cloud Monitoring
Cloud Logging
Vertex AI
Quantiphi segmented customers into various buckets through RFM analysis and developed a churn model which will help them understand the segment of customers most likely to drop off along the way.
This helped the client devise mitigation plans for factors associated with each segment.
