Multichannel Retail faces similar challenges, when looking at the value of customer information within the context of multichannel forensics.
Customer information ages differently in multichannel retail. While the relationships are different for each business, the following example helps illustrate the point.
- Catalog: A purchase twelve months ago is worth about 1/2 of what a purchase that occurred today is worth.
- E-Commerce: A purchase twelve months ago is worth about 1/4th of what a purchase that occurred today is worth.
- Retail: A purchase twelve months ago is worth about 1/8th of what a purchase that occurred today is worth.
- Clickstream: A visit twelve months ago is worth about 1/32nd of what a visit that occurred today is worth.
The reality is that this customer is heavily skewed toward the online channel.
Multichannel marketers have an opportunity to run a regression-style analysis, to determine the appropriate weight to use with older purchase information. The weights determine how customers are segmented, and consequently, determine how the multichannel retailer markets to the customer.
Multichannel CEOs and CMOs: On Friday morning, talk to your analytics staff about segmenting customers on the basis of the value of older purchase information. Have your staff apply a new technique that ultimately mimics the time-honored system of "RFM --- Recency, Frequency and Monetary".
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