Category management steroids

Data mining as it is evolving in retail is a fascinating exercise in identifying behavior characteristics that apply to very small percentages of the shopper population, and doing something with them. Progressively retailers are getting better at leveraging the data, and as the penetration of cards increases past a critical mass, so will the effectiveness of the marketing and promotional programs. Of course, consumers are well aware of this, and have well developed “relevance meters” built in.

Consider the category management of potatoes. Pretty dull stuff? no, fascinating stuff.  I am making these numbers up to illustrate the point, but consider, of 100 customers using their cards at the checkout,  perhaps 10% have potatoes in their trolleys, and 10% of that 10% have a particular variety, and of that 10% (now down to 0.1%), they also have sour cream and chives in their trolley.  Pretty reasonable guess that the potatoes will be cooked in their jackets, with sour cream and chives garnish, particularly if the shopper is single, no kids, and also buys steak.  An opportunity to offer the consumer a deal on a bottle of red wine on her way out of the shop, or in the associated retailer across the way? Multiply that by 5 or 6 million cards, and you have a pile of data to mine.

The gold standard of retailer card data mining is Dunhumby, now owned by UK retailer Tesco. They did such a great job in the development stages of the Tesco loyalty card, that the retailer bought them to keep their competitors away from them. In a move that recognises the future, Dunhumby is now crowdsourcing ideas via Kaggle, a fascinating startup that turns data mining into a competition for data nerds.

This is Category Management on steroids, and represents a monumental change in the skills needed by FMCG suppliers deal with dominant retailers. In the Australian context, very few FMCG suppliers have any idea of the power of the data tsunami coming at them, and how this will impact on their brand marketing strategies. It is also the realisation of the vision of category management the few of us who were playing with this stuff  30 years ago had when the data was warehouse withdrawals, we had a bit of U&A consumer research, and managed it all with calculators.

Brand Loyalty?

The holy grail, the prime objective of billions of dollars of advertising, the  wall behind which many campaigns that have failed to generate incremental sales have hidden, Brand Loyalty. 

I cannot help but wonder if the label “Brand Loyalty” is sometimes just a metaphor for making the purchase choice easier. The environment we inhabit is now so absolutely over-run with messages information, and tactics to build “customer engagement”,  that we all must have a serious case of cogitative overload, weather we know it or not, so we need a mechanism to sort the options.

In this context I am reminded of the old “KISS” principal, Keep It Simple Stupid.

Apple is often cited as the greatest marketing machine we have ever seen, an accolade I am comfortable with, but perhaps there is another dimension. Rather than building brand loyalty, perhaps they have just so simplified the purchase decision in an environment that is psychologically threatening by the number of alternatives, and the techno-speak that most use as communication , that they  grab the sales almost by default.

Apple has successfully made buying a piece of tech few buyers understand simple, and attached a cache to that simplicity. This spoof makes the point, but mind the language.

Four immutable laws of sales.

For years with my sales consulting hat on I have pushed the notion that when selling a product or service that requires the B2B buyer to exercise some level of consideration, so it excludes the everyday, commodity purchase, there are only three ways to  get the sale:

    1. Demonstrate how your product can assist them to increase their sales
    2. Demonstrate how your product can assist them to reduce their costs
    3. Demonstrate how your product can increase their productivity.

This has worked well over a long period, in a wide range of situations, but recently the socilaisation of  business driven by the web has added a fourth headline sales driver that to date I have always included in the first:

Assisting a potential or current customer to grab an opportunity.

The world is changing so rapidly that a successful sales operation needs to understand very well the competitive and strategic environment in which their customers compete. In gaining and renewing that understanding, you will see opportunities for your customers that they may not necessarily see themselves. Whilst this is part of helping them increase their sales, the new tools of communication and collaboration that enable the development and leveraging of IP/IC are such that few can stay on top of them all. Therefore being a part of their business development process, by providing valuable insight, and perhaps a  view informed by a different perspective, will deliver a stronger relationship, and contribute value to the process that will translate into sales.

Jobs to be done.

Marketing groups usually set about segmenting markets by one of two basic ways:

  1. By demographics, age, sex, education, income, with/without children, and so on, or,
  2. By product category, for example meat is usually segmented by breed, cut, pack size, price.

However, there is a third way, one that disregards the traditional segmentations, one that recognises the difference between cause and effect.

You do not buy fillet steak because you are a 35 year old graduate earning 150k +, with no children, you buy filet steak because you like it, or your partners  school friend is coming around for a BBQ, you buy it because it is the right product for the job to be done. Nobody buys a Ferrari to get from point A to point B, they buy a Ferrari to make a statement, as a car costing 10% of the Ferrari will offer reliable, relatively comfortable transport.

The marketing of every product can benefit from these simple questions, asked from the point of view of the prospective customer:

  1. What job do I want done?
  2. How will this product deliver on the job to be done?
  3. Which of the acceptable product options offers the best value, however the I define value in the circumstances?

Digital Darwinism.

It is simply a fact of life that digital media is evolving faster than the existing institutions around it, particularly the regulatory ones.

The decision during the week to reverse the Federal Courts decision on the streaming of “almost live” NRL and AFL games by Optus, determining that after all, it was a breach of copyright,  is a case in point. Regardless  of the merits of either sides case, and the logic that the continuing success of the professional codes relies on funding from TV rights, the world has moved on, but the business model of the professional games has not.

We will wait around for another year or so until the high court comes down with a decision, and there will be a winner and loser, but from a long term perspective, both will be losers, simply because another year has been wasted trying to shore up the gunwales against Digital Darwinism, and we all know how successful that has been in the music industry, newspaper publishing, and a host of others.

If both games wish to engage with youngsters, those who will be around for a while to fund the games by watching, buying branded gear, attending events, they need to consider how these youngsters consume entertainment, and adapt.

The current copyright law was conceived in the 1700’s, and whilst it has evolved, it no longer is a reflection of society, but a distorted shadow vainly trying to keep up with technical changes happening at digital speed.

Advertising: cost or investment?.

The costs of advertising only get counted when you do lousy advertising.

When you place an ad, and you get a great response, the costs are never considered, but place a lousy ad, getting little response, then the cost is alarming.

Therefore the task is to be sufficiently compelling to a targeted audience to bring a quality response, then the cost is not considered,  because you get an outcome that (presumably) makes commercial sense.

My son recently sold a car on line, it was a good car, but not one that would be for everyone. He thought  he would just put up an ad, and it would just sell, easy, because it was a good car, and the price offered good value.

Failure, this first ad got almost no response, and those that did respond were not interested in the car, just getting it at half the advertised price.

We had another shot at writing an ad, putting in much more detail, and then placed it more specifically to attract a specialised buyer, one to whom the particular characteristics of the car beyond the provision of a transport device would be of value.

It got a number of responses, several very good ones, and it sold very quickly at the full price.

The cost of the second ad was irrelevant, but he is still complaining about the first placement.