If marketing is both an art and a science, MBS' Analytical Solutions team plays on the side of science. Employing an empirical approach, our goal is to help our clients maximize ROI by providing quantifiable insight aimed at improving response, revenue, and the overall efficiency of their database marketing programs.
MBS’ customized analytical studies are grounded in the real world of our clients’ businesses. Descriptive Analyses examine customer, prospect, and market populations, investigate their purchase behaviors, and uncover correlations with demographic and psychographic attributes. Our deliverable: a clear and insightful picture of your customer segments, forming a foundation for smarter decisions about advertising, merchandising, and direct mail targeting.
Predictive Models utilize sophisticated statistical methodologies, neural networks, and algorithmic formulas to forecast the behavior of our clients’ customers and prospects. Each and every model we deliver is customized to the marketer’s need. Some examples:
- Customer Behavior Models, which predict response, profitability, likelihood of re-activation, and buyer conversion based on purchase history.
- Propensity-to-Consume Models, which establish buying relationships and target customers for products by analyzing prior categories shopped.
- ZIP Prospecting Models, which help marketers acquire new customers at minimum cost by determining which ZIP codes have the highest potential revenues for their products.
- Clone Prospecting Models, which, based on past promotional data, are used to rent names that resemble your customer profiles.
- Site Selection Studies, which, by combining demographic and geographic data with mapping software, identify optimal locations and target markets for the client’s brand.
MBS’ analytical methods are enhanced by our alliances with major data compilers, which enable us to utilize robust demographic and lifestyle data in our studies.
To learn more about our customized analytical offerings, contact Collette Coyne at 631-851-5000 or coyne.collette@mbsinsight.com.