Propensity Modelling



Customer churn is a significant challenge

for businesses, occurring when a customer

stops buying products or services.

By using an ML model that assigns a propensity score

to each customer, businesses can allocate resources

more effectively.

This allows them to identify low-intent users, invest in acquiring

new customers, and re-market to undecided customers.

Google Cloud offers tools to gather and combine online

data with 1st party data, analyze it, visualize it,

and ultimately use it to make informed decisions.

By introducing ML models to address churn,

businesses can reduce revenue loss and alleviate

negative pressure on ROI.



Individual records scored for their propensity

to churn, enabling data-driven business decisions

about resourcing strategies.

Increase ROI through improved

targeting & reducing low

quality leads.

Retaining Valuable Customers: Churn prediction

allows to identify customers who are at risk of leaving

and take proactive steps to retain them.

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