The Challenge
The company faced high cancellation levels in the early stages of the customer lifecycle, with an average impact close to 45% of the contracted amount.
The analysis relied only on traditional financial variables, with no real ability to anticipate cancellations.
The Solution
Infomedia implemented a predictive model that integrated:
- Machine learning
- Financial and operational variables
- A geostatistical component to infer socioeconomic level
- Actionable risk segmentation
In just 12 weeks, the organization moved from uniform strategies to targeted interventions by risk level.
Results
- Customers with a probability ≤ 0.4 represented only 12% of the risk
- Customer prioritization by economic impact
- Greater efficiency in resource allocation
- The operation evolved from reactive to preventive.
Is your company making decisions based on real economic impact?
At Infomedia, we develop predictive models that help anticipate risks and focus resources where they truly generate value.
Turn your data into strategic decisions.
Contact us and let's build your next competitive advantage together.
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