Excerpted from
StrateScapes - Volume 7, Number 1
Psychographics circa 2004
ATTITUDE. It’s what fuels teen angst, mid-life crises, and other bouts of human drama. A complex mental gumbo involving beliefs, feelings, values and dispositions, attitude precedes and shapes human behavior. And you’d better believe that includes shopping, spending, saving or investing with your company.
Many of today’s customer-data segmentation tools shed light on who your customers are (demographics), where they live (geographics) and how they interact with your company (behavioral and transactional data). But the most sophisticated tools tell you why customers do what they do (psychographics). Powerful stuff when you consider the implications and applications of such knowledge. Understand the attitude, and you’ll better predict and shape the behavior.
Narrowing the view.
First, it’s important to choose a segmentation tool that zeroes in on individual households. That’s because segmentation systems that stop at ZIP codes (3,600 households on average), block groups (340 households on average) or even ZIP+4 (10-12 households on average) can make overgeneralizations that undermine your targeting efforts.
Just think of your own neighbors and it becomes obvious why the “birds of a feather” philosophy falls short. After all, your well-heeled neighborhood may require healthy household finances, but it does not require that everyone at the block party also share the same age, marital status, interests, needs and wants. By enhancing your database with a household-level segmentation system, you will group your customers into specific segments that more precisely reflect who they truly are.
Getting an attitude.
Next, make sure the segment profiles are rife with attitudinal information that can reveal bits of wisdom such as purchasing motivators (e.g., do they seek advice before purchasing or purchase only brand names?), favorite activities (e.g., are they outdoorsy or home-bound?), and media usage (e.g., are they TV addicts or avid readers?). Individually, such data points won’t tell you much about who your customers are or how to speak to them. Put the data points together, however, and you start to conjure vivid profiles that allow you to not only better decipher customers’ needs and wants, but also pinpoint when and how to speak to them and what to say. This type of detailed segmentation can also help you:
Better Than Going Door-to-Door
In order to open the hearts and wallets of the soccer moms, power brokers and young entrepreneurs hidden in your database, you have to identify them first. Each of the following household level segmentation systems divides virtually all U.S. households into cohesive groups that share distinct demographic, lifestyle and consumer behavior characteristics.
Yankelovich
MONITOR MindBase™

Cohorts®
Acxiom®
Personicx®
BUILT FROM BUILT FROM BUILT FROM
Based on Yankelovich MONITOR, a 30-year-old quantitative databank of consumer lifestyles. Based on self-reported survey data, using an advanced cluster analysis of a rich sample of U.S. households. Personicx is driven by Acxiom’s InfoBase® database, which is compiled from numerous public and private data sources.
CUSTOMER GROUPS CUSTOMER GROUPS CUSTOMER GROUPS
Eight major consumer groups further broken down into 32 segments. 30 highly cohesive groups of households sufficiently varied to account for the growing population diversity. 21 life stage groups broken into 70 household segments, providing greater differentiation and discriminatory power than traditional segmentation systems.
SAMPLE PROFILE SAMPLE PROFILE SAMPLE PROFILE
Renaissance Masters (age 61; $45k income; married parents): Strong believers in traditional values, Renaissance Masters are also style conscious and immersed in new technologies. Mainly empty nesters, they are family-oriented yet vigorously pursue outside activities. They have positive self-perceptions and actively manage their finances. Burt & Marilyn (age 66; $55k income; married parents): Comfortable, close-to-retirement homeowners who are active investors, heavy credit card users and engage in charitable activities, travel, politics and spoiling their grandchildren. They enjoy golf and walking for health, as well as projects around the house. Mid Americana (age 56-65; $40k-49k income; married parents): Suburban, middleincome couples employed in a mix of blue- and white-collar jobs. Many support extended families and are occupied with their grandchildren. They are active IRA investors and credit card users. They would pay anything to keep their health and will never understand computers.
OF NOTE OF NOTE OF NOTE
With the help of data culled from its Monitor product, Yankelovich is able to dig deeper into the American psyche, exposing timely opinions and attitudes that are shaping consumers today. Cohorts asserts that you are what you do — i.e., Americans’ identities are wrapped up in their interests, hobbies, associations, clubs and political affiliations — and provides data points to help bring that identity into focus. The InfoBase file used to build Personicx is updated monthly. This ensures frequently updated Personicx assignments that accurately reflect the dynamic nature of consumers today and also allows you to track the migration from one life stage cluster to another over time.
SAMPLE RESULTS SAMPLE RESULTS SAMPLE RESULTS
One bank used MindBase to test messaging with a checking campaign. They developed 11 distinct messages for each of the segments. The MindBase targeted messages produced an overall 47 percent increase in revenue, with a 44 percent higher take rate than the generic message. A nationwide retailer wanted to develop a brand awareness program, using Cohorts as both a selection and suppression tool. As a result, the retailer was able to reduce its 10-15mm mail campaign by one-third while maintaining profitability. A group of luxury auto dealers wanted to stimulate traffic and interest from qualified prospects. They used an acquisition model and Personicx to target best customers and best customer look-alikes in the specified market areas. The two tools uncovered the top 20 percent of U.S. households expected to perform four times better than a random sample.
Plotting the tactics.
A household-level segmentation solution that is supplemented with attitudinal information is only the first step in the quest for marketing efficiency. Many companies experience huge variations in the usefulness of the segmentation projects they commission. That’s because segmentation data alone, while intellectually interesting, does not deliver actionable guidance for using segments in the real world. In order to successfully leverage the rich segment profiles, you must be able to manage the tactical execution of your segmentation strategy. Creative and messaging for each segment must speak to their individual needs. Timing and frequency of messages must catch or nudge customer segments when they’re most receptive. Products and offers must provide a solution to each segment’s challenges. And the overall strategy must be agile enough to evolve as learnings from segmentation come to light.
In a tight-fisted economy where marketing dollars are closely monitored, doing less with more is fast-becoming everyone’s favorite mantra. But developing a marketing strategy using a household-level, attitudinally enhanced segmentation system means you’ll be able to create more relevant messages delivered via more relevant channels and at more relevant times. And that leads to marketing efficiency that delivers increased customer loyalty and profitability.