Research: A Necessary Evil
Love it or hate it, we learned early on that doing your homework makes a difference. So now that you your mind is made up and you are committing resources to leverage predictive analytics–
what’s next?
You’ve gained acceptance from the top (see, “The First Step is Always Acceptance”) and your leadership has bought on to the idea that analytics is going to be the foundation of your future strategies. Your next step must be to gain a better understanding of how your peers are using analytics.
How is your industry using analytics? Have they already started segmenting their customers? What types of results have they seen? Which partners are they choosing if any, to help achieve their goals?
During our recent Scoring Summit, I heard countless applications of real-time preditictive analytics. For example, Clearwire leverages a data-driven customer acquisition strategy that offers a clear direction for others to follow.
A research-based strategy can help you better understand and evaluate the additional steps that will be necessary to achieve your analytical-based goals.
When you achieved company buy-in, hopefully you established whether or not you have the right personnel, IT infrastructure and any other necessary tools in place. Deciding the necessity of those tools will lead you down the path to acquiring the right software, people or both.
The best part of the research process will be training your personnel’s collective minds to start using the analytical sides of their brains. Asking relevant questions, seeking answers, and implementing actions (wash, rinse, repeat) will enhance your internal analytical processes.
If the project you are researching has anything to do with customer scoring, segmentation or platform-based analytics stay tuned to my updates about how our customers are leveraging real-time analytics to enhance their customer’s experience and bottom-line.
Deryck
Customer Scores, Customer Segmentation, Lead Scoring, Marketing Analytics, Real time scoring, TARGUSinfo, predictive analytics









