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Scoring is a powerful tool to predict likelihood of particular customer behaviour. Such scoring solutions
use historical transactional and demographic data with sophisticated statistical techniques to identify pattern among customers associated with an event. These patterns in the form of statistical equation identify segments in the population with greater likelihood of a particular behaviour. By focusing on customers with higher likelihood, organizations can significantly improve return on their investments.
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Our Scoring Solutions |
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- Acquisition Scores: Evaluate riskiness of a customer to decide on giving product to a customer.
- Behaviour Score: Evaluate risk of an existing customer on his product usage pattern.
- Collection and Recovery Score: Identify customers who are more likely to pay back the outstanding amount and thus improve collection efficiency.
- Propensity Scores: Identify customers with highest propensity to buy, to use a product, to react to a mailer and improve productivity.
- Cross-sell Score: Identify customers with higher propensity to buy a cross sell product and thus improve customer profitability.
- Marketing mix Scores: We use regression-based techniques to predict sales based on marketing activities, pricing, and competition. We provide ROI for each advertising and promotional campaign to optimise resource allocation across various marketing channels.
- Techniques: We use linear regression, logistic regression, panel data, time series and segmentation techniques for our scoring solutions.
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Key benefits of Scoring are: |
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- Optimise credit decision making processand maximise risk adjusted returns.
- Lower cost of campaigns and increased effectiveness.
- Increase engagement through focused campaigns.
- Reduce attrition by identifying customers with greater likelihood to attrite and taking proactive measures for engaging such customers.
- In short increase returns of your investments across business.
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