Propensity Modelling



Audience scoring is the process of evaluating

and ranking different segments of a target

audience based on their attributes and behaviors.

It involves analyzing various data points such as

demographics, online activity, and purchasing history

to create a detailed profile of each segment.

This allows them to prioritize their marketing budget

towards customers who are most likely to convert,

resulting in a higher return on marketing spend.

The resulting scores can be used to identify high-value

customers, tailor messaging to specific segments,

and optimize marketing efforts.



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

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