Now how the heck do you create "Digital Profiles"? I mean, you don't have the lifestyle/psychographic/demographic data you need to do this the right way, correct?
Well, let's keep things as simple as possible.
Let's take all purchases that happened in the past twelve months. Among these orders, you know several things.
- The method the customer used to pay for merchandise (Cash, Check, Visa, MasterCard, Amex, Gift Card, etc.) Hint --- cash/check are proxies for a 60+ year old customer.
- The day the customer purchased merchandise (Sunday - Saturday ... yes, this matters).
- The time of year the purchase happened (Valentines Day vs. July 4 vs. Cyber Monday ... you get the picture).
- The merchandise divisions the customer purchased from (think about the tabs running across the top of your website ... yes, this matters, too!).
- Average number of items per order.
- Average price per item (hint, this is important). Items 5 and 6 yield AOV.
- Total number of annual orders.
- Sale customer.
- Promotional customer (free shipping, % off).
- Zip Code Forensics (Urban, Suburban, Rural customer).
- Physical Channel the customer purchased from (Phone, Web, Store).
- Advertising Channel that influenced the order (Catalog, Paid Search, E-Mail, Affiliates, Social, Mobile).
- Did customer return more than 40% of merchandise purchased?
- Does customer pay for expedited shipping?
This is not a finite list, use your imagination.
Create a "spreadsheet", with one row per customer ... the fourteen characteristics mentioned above are columns in the spreadsheet.
We'll stop here. If you can collect this kind of information, you have a fighting chance to create interesting Digital Profiles.