How -- and why -- to segment customer lists by income and brand affinity.
If you've been following my advice about segmenting your databases to find nuggets of valuable customers and prospects, here's another powerful recommendation: brand names and who buys them.
Simmons' spring 2004 survey presents some pretty telling findings:
|Most Popular |
|First||75,000 and greater||ASICS|
|Fifth||Less than 15,000||LA Gear|
|Most Popular |
|First||75,000 and greater||BMW|
|Fifth||Less than 15,000||N/A|
|Source: Simmons, 2004|
Additional statistics from Nielsen//NetRatings reveal Internet use by those with household incomes over $150,000 grew by about 20 percent in the last year. Compared to other groups, these high earners spend more time online (76 hours) and view more pages (2,126 pages) per month.
What can we learn from this?
If you sell multiple brands in any category, you can test two things to identify which people are most likely to buy certain brands:
And that's just the beginning.
Say you sell 50 different brands of apparel and know which customers purchased which brands. You can develop a series of year-round email messages for each brand based on specific trigger events:
If you sell books or music, you can do the same thing. In this case, the author or artist is the brand. When John Grisham comes to a local store for a book signing, you can send an event notification to people who purchased books by him and people who purchased books by other authors in the same genre.
Brand is just one example of data that may be available in your database. This strategic thought process can be applied to any number of different data variables. The key is to build a model with strong predictability to generate a positive response. Amazon.com has made billions doing exactly what's described above. You should do it, too, and work toward your first billion!
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Paul Soltoff is the chief executive officer of SendTec, Inc., a direct marketing services company specializing in customer acquisition. SendTec combines extensive direct response experience with proprietary technologies to produce scalable results. Principal services include performance-based online marketing, offline direct response marketing and direct response television. SendTec represents advertising agencies and advertisers such as RealNetworks, AARP, Monster.com, AAA, Punch Software, MyPoints, Grey Worldwide, CosmetÍque Cosmetics, Columbia House, and Euro-Pro. Prior to starting SendTec, Paul was a founder and EVP of Saatchi and Saatchi's DRTV division in New York and has over 25 years of advertising, media and direct marketing experience.
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