Using Predictive Analytics to Build Marketing Response Type Models

In building marketing response type models, the ROI is significantly improved as lower costs are achieved to attain the same level of revenue that would otherwise be attained without modelling.

Marketing decisions can then be made on which customers to select based on their ROI.

In some cases, we have been able to use the data to identify a major change in someone’s life. A good example of this is identifying an individual that has just moved by observing that the address data has now changed for that individual. The ability to identify movers vs. non movers has led marketers to develop unique communication strategies towards this segment.

Another good example is tenure. We often find that customer behavior is often U-shaped with this variable which implies that newer and longer-tenured customers tend to be loyal, while the middle group or more average tenure type customers tend to be less loyal.

Full Story: (Free Registration May be Required) http://www.predictiveanalyticsworld.com/patimes/wise-practitioner-predictive-analytics-interview-series-richard-boire-boire-filler-group/

***

Before predictive analysis can be employed, you must normalize all of your data and make sure that it is accurate. We do that for you. Inteneo Systems http://www.inteneosystems.com providing the right data at the right time to the right people so that they can make the right decisions.

406-531-8119