It's 2001 at Nordstrom.
The e-commerce Executive wants to tailor email campaigns to the merchandise customers previously purchased. Her team tells my team they can support ten (10) different versions of an email campaign twice per week. My team is brilliant. They tell her they can develop a methodology to pair customer purchase history with the content offered in a version of an email campaign.
What they came up with is similar to what I currently call a "Compatibility Score".
Let's oversimplify the process. Say you have two versions of an email campaign, and you want to decide which version the customer should receive. Now, there are better ways to do this, and if you don't like how I oversimplify my example below, by all means, add the level of complexity necessary to suit your needs. But for the love of Nordstrom, do something, ok?!
Ok, here is the merchandise composition of email version #1.
- Mens = 70%.
- Womens = 20%.
- Kids = 10%.
- Home = 0%.
- Accessories = 0%.
- Mens = 0%.
- Womens = 50%.
- Kids = 30%.
- Home = 20%.
- Accessories = 0%.
- Mens = 15%.
- Womens = 40%.
- Kids = 10%.
- Home = 12%.
- Accessories = 23%.
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