Predictive Modeling
Predictive Modeling Reveals Key Insights Across the Customer Lifecycle to Increase Marketing ROI
Through Predictive Modeling, Analytic Partners addresses the key decision points in the customer lifecycle – from acquisition through cross-sell and retention, even customer win-back. Use of predictive modeling can dramatically improve marketing and sales activities that span the range of your customer interactions, from improving campaigns for acquiring customers by offering the right products or services, to predicting which customers will respond to new offerings, to understanding the customers who are at risk for defection, or which customers to win back through special offers and promotions.
Our predictive modeling analysis focuses on the underlying factors surrounding customer behavior and the likelihood of customers to act in specific ways that may be affected by your marketing activities. Predictive modeling allows you to understand which customers to target for best marketing campaign results. The resultant increase in sales will increase the ROI of your marketing activities. Dramatic gains in response rates and sell-through often occur with use of predictive modeling to guide the choice of which customers to target.
When Predictive Modeling results are applied to your marketing activities, they help you communicate your message to the right customers at exactly the right time. These insights will help you improve response rates for e-mail or direct mail campaigns, support more effective scripting in call centers, improve customer targeting for direct sales activities, or even underpin decisions for advertising and sales promotion activities.
We Answer Your Questions
- Which customer segments will be most responsive to new products?
- Which customers are the most likely to defect?
- Which customers are the most likely to purchase services in addition to products?
- What are the “gateway products” that draw new customers?
- How can I improve my direct mail open rates and response rates?
- Which customers are likely to need special customer service attention?
We can answer many more predictive modeling questions. Contact us.