June 18, 2012

Merchandise Forensics: Age of Item Purchased

Not everything in life has to be hard.

Go run a simple query.  Calculate the average age of each item purchased in the past year by twelve-month buyers.  It's called "Average Item Age", or "AIA".

Look at this company.

Customers who purchased just one time purchased items that were about two years old.

Customers who purchased five or more times in the past year purchased items that were between 1.00 and 1.25 years old.

First-time buyers purchased items that were "older" than those purchased by existing customers.

What does this tell you?

First, it tells us that infrequent buyers purchase safe items.  This business can respond to this fact ... personalize email messages to infrequent buyers, recommending popular old-school favorites.  Recognize website visitors ... a first-time visitor is presented with safe favorites.

Second, it tells us that new buyers purchase safer items than do existing customers.  This business can respond to this fact.  If it is a catalog brand, you create a prospect catalog loaded with "winners" ... make it easy and risk-free for the customer.

Third, it tells us that the best customers become bored, purchasing new items.  This business can respond to this fact.  Email campaigns should continually advertise newness to best customers.  If you have a catalog channel, create a small, targeted version of the catalog, loaded only with new products, sold to best customers (yes, I understand that this strategy "doesn't scale" and doesn't capitalize on the efficiencies of your typical 96 page catalog ... so what, try it).  Create versions of the home page for your best customers, loaded with "what's new".

It's not 1983 any more, folks!  Analyze the merchandise customers purchase, and react to the reality that different customers have different needs.  Make Merchandise Forensics work for you!


  1. I like what you quote "Not everything in life has to be hard". Having a good attitude and perseverance everything is possible.

    Catering Melbourne

  2. Hi Kevin,

    we are developing a new ecommerce and we are going to install a recommendation tool. Of course it will do the recommendations automatically, and it will do it in some different pages as home, cart, product page...etc, even we can use it in email campaigns, telling it the user and the tool will assign the product that fits better to that user.

    Sometimes you say to do querys to guess something, and I agree that it is a good way, but maybe this kind of tools can work very well and save a lot of time to small businesses.

    Thanks for your interesting and useful blog! (from spain)


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