Scoring is a powerful tool to predict likelihood of an action for any customer. 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 behavior. By focusing on customers with higher likelihood, organizations can significantly improve effectiveness of their programs.
IQ Scoring Solutions:
- Acquisition Scores: Evaluate riskiness of a new customer
- Behavior Score: Evaluate likelihood of default of an existing customer
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 respond to any intervention and improve productivity
- Cross-sell Score: Identify customers with higher propensity to buy a 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
|
|
|
|
|
|
- Optimise Credit Decision Making Process and Maximise Risk Adjusted Returns
- Lower Cost of Campaigns and Increase Campaign Impact
- Higher Customer Engagement through Focused Campaigns
|