Category Archives: DataBase Marketing

Sense And Respond Marketing

Ron Shevlin of database marketing powerhouse Epsilon thinks a new core competency requirement for marketers is the “ability to move customers through the buying cycle with a sense-and-respond capability”. This is something I often talk to people about, it’s really a subset of the “I have the data, now what do I do?” problem. Marketers are more familiar with creating campaigns based on nameless, faceless GRP’s than the behavior of real people. And that’s the problem.

I think part of the problem is in segmentation, they simply don’t understand how powerful behavioral segmentation is, how different it is than using demographics – and they lack the ability to ask for / get this information in a format that drives action-oriented thinking. The granularity of “people” as opposed to GRP’s throws them off. With Sense And Respond Marketing, or what I would call Relationship Marketing, you use the Customer LifeCycle to influence messaging which is meaningful to people based on behavior, not demographics. The behavior is the message, not the age, income, make of car, or whatever. Using behavior makes so much more sense when you see an 80 year old on a Harley.

Here’s an example. One thing that happens with interactivity is people tend to “gorge” themselves on something, get tired of it, and move on to the next experience (video games, Friendster). So you have to work very hard to hold on to them. At HSN, we used to listen very carefully to what customers said on the air and reviewed comment trends in customer service every single day. One thing we started hearing was “I’ve only got 10 fingers” which is the customer saying “you are selling too much jewelry”. At the same time, we were looking at the LifeCycle of best customers and found that most of them were fashion buyers who started buying in jewelry – regardless of how old they were or what their incomes were.

So we have customers telling us we sell too much jewelry, and we end up losing a lot of them because they get bored. But at the same time, best customers are created when someone starts buying jewelry and moves into fashion. We have a natural transition from new customer / jewelry to best customer / fashion that some customers found their way to and others did not. Knowing this behavior exists and that it’s very profitable for HSN, can we influence it? Can we get more people to make the jewelry to fashion transition with a marketing campaign of some kind?

Well, the first thing is timing. When to drop the campaign? You can’t drop it on a “date” to all customers, you have new customers coming on each day and they are going through a LifeCycle. However, the data said if the customer did not start buying fashion by the 120th day of their LifeCycle, they would probably never buy fashion. So somewhere in that 90 – 120th day after becoming a new customer, we need to hit them with a “buy fashion” message.

OK, so what is the message?  Well, we know from customer comments (and remote selling in general) that people are reluctant to buy fashion remotely because they are worried about fit. So what would be the easiest fashion item to sell a remote customer? How about something like a running suit, you know, Small-Med-Large-XLarge?

So we put together these special fashion shows geared to “no brainer fit” fashions and had them run at very specific times on the network that we could promote to the customer in advance. We dropped a very simple piece that said, “We’d really like you to try our fashions, here is $10 off, here is when to watch” kind of thing. And we dropped it somewhere in the 90 – 120 day window after the customer’s first purchase. Understand, these pieces went out every week but they went to very specific people with specific behavior who were entering “the zone” of 90 – 120 days after first purchase of jewelry.

And we literally printed money from that point on with this program. For every $1 in cost, we generated $25 in incremental (versus control) profit in the first year of the customer life, every day, day in and day out, as a higher percentage of new customers converted into long-term, highly profitable fashion buyers.

Was that a hard program to design? Not to me, seems completely logical. You have behavior, you know the customer, you have timing points, copy is simple and direct. I think Ron probably had something a little more sophisticated in mind when he wrote Sense And Respond Marketing, but the basic concept is the same (and after all, we were dealing with mainframes and snail mail at HSN in 1994, so cut me some slack!).

So why is it again that people have this “I have the data, now what do I do” problem? I suspect it’s because they may have the data, but it’s not in any kind of actionable report format that generates ideas. GRP Marketers simply don’t know how to ask for the data / can’t get the data in a format that lends itself to creating effective campaigns. And that’s a shame, because it’s pretty simple to have someone do it for you or you can do it yourself.

Flat Rate Shipping?

In Pricing and Ecommerce – Some Thoughts, Adelino points to some of the most common pricing models for shipping, including the traditional catalog “by order total range” and the Amazon “threshold” model and provides some spot-on analysis.

While one could argue that in the “range” model, the cost of shipping as a percent of order falls, I don’t think consumers really look at it that way. I think they wonder why they are “punished” with higher shipping costs for placing larger sized orders. Perhaps they don’t. But they sure like flat rate pricing for shipping when they see it.

We played extensively with S + H at Home Shopping Network in the early days, and what we found to be most successful was a flat shipping charge. I continue to use this approach with clients on the web today, where possible. It drives average order size like nobody’s business as people pile more stuff into the cart because “it doesn’t cost any more”. If you understand the financial model of the mail order business, you understand that boosting average order size drives profits like (almost) nothing else you can do. Also, being able to promote “Shipping is $6 per order, no matter how many items you order” in your advertising and all over the site eliminates any questions people have about shipping, which reduces cart abandonment.

This approach, of course, takes an intimate knowledge of the business, a study of UPS (if that is your carrier) rate structures, and understanding the general geography of your customer base. You have to know what your real average shipping costs are and peg your flat rate accordingly. For heavy products, you should build some shipping cost into price in order to lower the flat rate, which will not work in a commodity product environment.  And good merchandising that encourages customers to upsell themselves helps a lot to drive the average order size. We even have some people who put flat rate at under cost and charge the difference to marketing, which is an accounting view of this approach. It certainly could be argued that the flat rate is a retention marketing technique, if not an acquisition technique as well.

Amazon is perhaps a unique case in that both the margins and average prices are low relative to product weight; they’d probably get killed on flat rate and a threshold approach serves them best.

If you had a shipping bill of $120K last year and you shipped 20,000 orders, your average cost to ship an order is $6. Why not charge a $6 flat rate per order and see what happened to your average order size? Sure, your shipping costs will go up with average order size but unless your margins are thin you will drop a lot more money to the bottom line.

Clearly, the success of this approach depends on the breadth of your lines and their sizes / weights. But if you generally ship in a 12 x 12 x 12 box or less and you’re not shipping rocks, it should work out for you. Take a look at what each extra pound above 1 lb and 2 lbs really cost you versus a 20% increase in average order size. You’ll see.

As Adelino says, the trick is in pouring over the financial details of the business.

Optimizing Profit in Customer Campaigns

Those of you interested in the “How To” of marketing productivity efforts might want to check out the latest newsletter:

http://www.jimnovo.com/newsletter-12-2006.htm 

It provides examples of how to execute against behaviorally scored customer data to optimize profit in customer marketing campaigns.  This is Part 5 of the 5 Part series; links are provided to the first 4 Parts for those not already following the series.