Create a Bucket List
Whether you're new to database marketing or a seasoned pro looking for some new idea to get your creative juices flowing, one of the most useful, and impactful, activities you can embark upon is to create what is called a "Bucket List."
No, I'm not talking about a building a list of activities that you and a middle-aged companion wish to complete before you shed this mortal coil. I'm talking about taking a long, hard, and close look at your customers or prospects and getting to know them—really getting to know them—well enough to create broad classifications about who they are, what they do, what they like, and what affinities they share.
Remember, at the end of the day, database marketing is about sending out the right message to the right people at the right time—and, hopefully, achieving the desired response from the customer or prospect as a result. And without proper customer segmentation, this task simply cannot be done cost effectively, if at all.
Now, of course, there are many great customer segmentation models out there you can use. In a great article titled "Selecting a Customer Segmentation Approach" by Andrew Banasiewicz, Director of Analytic Services at Epsilon, four groups are identified: Predictive, Descriptive, Behavioral and Attitudinal.
Out of these four, the Predictive and Attitudinal models are arguably the most popular and widely used. Predictive is a model that uses value segments driven by customer purchase behaviors, extrapolating past behavior into future actions. An Attitudinal model, on the other hand, identifies affinity segments based on respondents' expressed attitudes toward a company's brand or products.
Now of course this list isn't exhaustive and there are other models you can use. One popular alternative is Psychographic Profiling, which is used widely in the B-to-C space. In this model, consumers are assigned into groups according to their lifestyle, personality, attitude, interests and values.
Who’s Your Data? is a blog that aims to disseminate thought-provoking tips and techniques involving the use of data and database marketing to direct marketing professionals. Why should you care? Because implementing data best practices has been shown to lift response rates, improve analytics and enhance overall customer experience. Reader participation is encouraged!
Rio Longacre is a Sales & Marketing Professional with more than 10 years of experience in the direct marketing trenches. He has worked closely with businesses across many different vertical markets, helping them effectively leverage the use of data, personalization technologies and tracking platforms. Longacre is currently employed as a Managing Consultant, Marketing, Sales & Service Consulting at Capgemini Consulting, a premier management consulting firm. He is based in the company's New York City office, which is located in Midtown Manhattan. He has also previously worked as an online media buyer and digital marketing strategist.
Email Longacre below, or you can follow him on Twitter at @RioLongacre. Any opinions expressed are his own.