In a recent project, I segmented twelve-month buyers by "Weighted Quality". Each "Grade" represents 20% of the twelve-month buyer file.
- Grade "A" = Weighted History of $665 or Greater.
- Grade "B" = Weighted History of $343 to $664.
- Grade "C" = Weighted History of $192 to $342.
- Grade "D" = Weighted History of $99 to $191.
- Grade "F" = Weighted History of $1 to $98.
Then, I measured rebuy rates in the next month based on "Weighted Quality". Here's what the data demonstrated:
- Grade A = 19.8%.
- Grade B = 8.2%.
- Grade C = 4.7%.
- Grade D = 2.8%.
- Grade F = 1.5%.
- 13-24 Month Buyers = 1.8%.
- 25-36 Month Buyers = 1.1%.
- 37-48 Month Buyers = 0.6%.
- 49-60 Month Buyers = 0.4%.
From a targeting standpoint, "Weighted Quality" does a spectacular job of separating customers ... good to not-so-good. We easily identify the "best" customers.
Your Homework Assignment: Create a database attributed called "Weighted Quality". Create another database attribute called "Weighted Quality Segment" with values of A/B/C/D/F.
Tomorrow we'll add another step to the process. Our goal? We want to be able to segment and target customers liberally, in an effort to improve the following:
- Welcome Program.
- Anniversary Program.
- Optimization Program.
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