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  Roll Up Your Sleeves, Show Me the Data
    By Bill Singleton, manager of analytics and consulting services at the Allant Group

Do you take a top-down or bottom-up approach when you do your post-campaign analysis? Do you look at households, individuals, items, orders or recency?

Your answers will tell a lot about your data processing, and what you can expect from your planning.

Like most mailers, you probably have stuffed your database with mailing treatment keycodes, household and/or individual ID numbers, names, addresses, shipping addresses, order and shipping dates, units, SKUs, cost and retail dollars, order numbers and line numbers.

But have you really looked at all this in a holistic way?

Let’s start with an apparel purchase. Several line items ordered on one day can be summed to a single order number and purchase dollar total, giving you one address and ID number.

You can add up the line items on this customer’s record by ascending or descending date, by state or ID number—you will end up with the same information in your summary. Your modeling and geography will not change.

Second, imagine the student who buys a notebook computer that she plans to load with games and music at home. Several days later, she orders accessories to be delivered to her college in a different state.

Your system records several line items under different order numbers that share the same ID number. Typically, you will sort the file by date. The date and address on the last record will be the one you keep.

But here’s the rub: Your RFM data will be accurate, but your geographic summary will put all the dollars in the same state as the college. If you know that split orders such as this often appear in your data and sort your file to capture the correct address, you will keep the first order date and your recency of the buyer’s activity will be incorrect.

This is a very picky view of how customer transactions can be handled. But you may not understand your customer’s purchasing habits until you align your analyses with real behavior.


---Source: Reprinted with permission from Multichannel Merchant Magazine's List and Data Strategies Jan. 7 2008 newsletter www.multichannelmerchant@pbinews.com. Bill Singleton writes “Show Me The Data” each month and is a manager of analytics and consulting services at the Allant Group. He can be reached at: bsingleton@allantgroup.com
 


 
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