Propensity Modelling
Audience
Scoring
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.
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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