Propensity Modelling
Churn
Prediction
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.
BUSINESS
VALUE
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.
Google Campaign Manager
Google Marketing Platform
Firebase for Analytics
Google Ads
TikTok ads
Google Cloud Platform
Google Analytics
Google Tag Manager
Meta Ads
BigQuery
We use a stack
of effective
technologies
Clients
The following brands trust us to solve their problems
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