Join Daniel/Aaron from Orita.ai and I on Monday at 4:30pm EDT / 1:30pm PDT as we talk about ecommerce and bridging the gap between Executives and those of us with facts that need to be acted upon.
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Helping CEOs Understand How Customers Interact With Advertising, Products, Brands, and Channels
Join Daniel/Aaron from Orita.ai and I on Monday at 4:30pm EDT / 1:30pm PDT as we talk about ecommerce and bridging the gap between Executives and those of us with facts that need to be acted upon.
Click Here, now!!
By 1994 my promotion wasn't published anymore. By 2026 you self-published your promotion on LinkedIn (and earned 77 "likes").
But 1992?
In 1992 you'd submit org structure changes to DMNews so that you could communicate to the entire Catalog Industry just how sophisticated your intentions were.
One of the analyses I run in a pricing project is measurement of customer response by price point. If inexpensive price point customers are willing to buy expensive price point items in the future, you're in good shape? If not? You need to maintain price integrity.
I'll run logistic regression models (#oldschool) of next year's response within price point bands ... always a fun and informative analysis!
The table shows the increase in rebuy rates ... for instance, if a customer buys from the low price point band, each item purchased there increases your probability of buying in the future regardless of price point band ... but adds the most in low prices and average prices.
Interestingly (in this case) if the customer buys from the highest price point band, the customer is most likely to keep buying in the highest price point band next year, though the purchase does help increase odds of buying in all price point bands.
There are companies I analyze that have all sorts of odd outcomes ... low price point customers that refuse to move up, high price point customers who buy from everything, average price point customers who default back to low price point bands. Regardless, it's important information you need to learn for your brand.
It's one of the Top 12 Analyses you respond to when we work together on a project! You have a few days left to take me up on my Top 12 offer. Contact me now (kevinh@minethatdata.com).
Midland Paper thinks you need to read this article (click here). They included the article in a newsletter this week.
Is there a rise in Slow Commerce? I asked one of the AI apps to tell me about Slow Commerce. Surely if it were a trend, AI would know about it, right?
This one is always a classic ... every one of you manages customers who ultimately gravitate toward specific merchandise categories or exhibit behavior that becomes actionable from a targeting standpoint.
I use what is called a "Factor Analysis" to reduce complicated customer behavior into actionable segments. The computer produces a visualization for me ... the visualization is what so many of you have enjoyed over the past twenty years, making the visualization one of the Top 12 Analyses I perform.
So many fun associations!
Customers buying for the first time lean to one-item orders (duh), which skew to expensive items. Yup.
Customers buying from Merchandise Category 02 tend to buy items below their average historical price point. This brand is discounting within that category, it's something I'd have to discuss with Management to understand if they were liquidating items or ... well ... just to figure out if they had a plan.
As customers become loyal (3rd / 4th / 5th / 6th-9th purchase) they align with new merchandise. Guess what? This one comes up frequently. Give your best customers want they want for crying out loud!!!!
My Top 12 Offer ($12,000 instead of $19,000) is valid for prior clients and blog subscribers through August 15. Contact me (kevinh@minethatdata.com) for details.
Join Daniel/Aaron from Orita.ai and I on Monday at 4:30pm EDT / 1:30pm PDT as we talk about ecommerce and bridging the gap between Executive...