Wednesday, September 7, 2016

Target Marketing - A 2-Edged Sword



Since the late 70's we've been told the blessings of 1-1, CRM, Personalized, customized, data driven, customer-centric and targeted marketing. But what are the down-sides?

First, I do not know what I will buy next... and neither do you. A gift-redemption company asked me to build a data model on what people might redeem. I asked, "If you know that I play golf, do you think it is more or less likely that I choose the set of golf clubs?" "Obviously more they replied". "But I already HAVE clubs, and if I'm serious about golf, I would never pick the free set." I think it is far less likely... and so it went. So when we presume to guess who will buy, our targeting is rarely more than a coin flip.

Second, when we target who will buy, we aim away from who won't buy. The marketers above were so sure about Dave, they spent heavily to get Dave's attention. A music company told me, "Our buyer profile is men, 35-55, high income & high education. But when we contact those kind of people our results are awful." I tried not to smile as I thought about the ratios. They had narrowed their focus to less than 10% of adults, while forgetting that not all their listeners even fit the profile. I recommended that we market to those who were already buying (we know they like the music) and the results were spectacular. Don't think that a precise target will necessarily bring better response - or greater sales.

Third, the best use of segmentation is to set up experimental tests - to learn. And while everyone wants to target and measure, few marketers take the time to set up field valid testing. A major auto manufacturer called me in and asked, "Who would have bought a car, without the $5,000 rebate." "Great question, what answer would you like?" "But we thought you were a data guy?" "Right, but I doubt that you did a hold out test - so without any data - what answer?" Never forget that one perfect customer (Dave) will not compare with a million marginal ones. Most customers do not think of you as their friend and they did not spend enormous amounts of time contemplating their needs. Even with major purchases, until the wash machine dies, the water-heater floods the basement or the check-engine light blinks, most consumers ignore your messages related to these categories. But once it happens... they are more likely to buy - more highly motivated - than any of your customer personas.

In conclusion, a great offer which attracts the attention of a wide audience is a far better goal than perfect target marketing. Never forget that your market is often a moving parade and most people have never noticed your product. Targeting precision can reduce both overall reach and your capability to learn. If marketing is "finding a need and filling it" and even you do not know tomorrow's need - remember "Sow your seed in the morning, and don’t stop working until evening, since you don’t know which of your endeavors will do well, whether this one or that, or even if both will do equally well." Solomon (the richest man who ever lived)

Wednesday, May 25, 2016

Angry at BIGdata

Angry, I'm livid.! Bubba watson has just taken the lead at the Memorial tournament. I pick up my phone to see if he burdied the par 5 7th and I have to hit "Leaderboard" 5 or 6 times. Every time I log in, I have to again re-confirm that Bubba Watson is my favorite player. PGAtour.com feeds me scores from the Classic Tour, the Canadian Tour - they show me play by play on other players... but they will not give me what I want, what I ask for repeatedly.
I just sold an item on eBay for several thousand dollars - best ever. Do you think I can find my messages? On my Win7 machine, I've learned never to load the eBay home page - which perpetually loads images of items which I already bought on eBay. I have been on eBay since 1997, I know how to find what I'm looking for, I've bought hundreds of items. But I can no longer go there. I've even gone so far as to load the mobile site on my desktop - just to prevent it killing my computer.
Google, to its credit, has not junked up the screen... but on every tech search I try, I'm forced to restrict the time frame to one month or one year. Do you think all-powerful Google could add the time frame button to their completely empty page - given that I use it several times each day? Nope, they must not be paying attention.
What does this have to do with BIG Data. I'll tell you. Companies are consumed with trying to predict my behavior and especially what I might be interested in buying next. And they are neglecting and annoying me by ignoring what I try to shout to them (repeatedly).
Lets illustrate the challenge in predicting purchases. Think back to the last time you visited a big box store. Perhaps we talked outside and made a list of all the things you intended to buy on your visit. What are the odds that when you come out, you have exactly that list of items, no more, no less? In my case it is no better than 100 to 1. So if you, knowing all you know about you, cannot predict your own behavior, 5 minutes in advance. What chance does some computer have, merely looking at your lifetime tweets?
BIG Data is capturing the attention - and the result is anger - your customers are angry - they hate your new "Predictive" site. They hate that for weeks they see ads for items they already bought or weren't really interested in. But most of all, they hate that you took away their time and access so you could piddle with global data feeds. Give your customers what they want - but quit trying to out-guess them.