 |
|
Customer
Migration |
|
|
Much of the database analysis of customers deals with acquisition and retention, assuming that a customer is a customer. That may be true with most products and services, but it certainly is not true for all. If you study customer purchase patterns over a period of time, you can see patterns, which can be useful in marketing. The goal is to influence behavior. You go through a series of steps by asking questions:
There are several migration patterns. Some move from economy class to business class to first class. Some move from buying one product to buying several different products. Some migrate by changing their lifestyle. Consider this scenario:
This is a typical middle class life cycle. How can we use knowledge of this life cycle to improve our database marketing performance?
Today, more and more companies are learning to recognize and make use of the migration patterns in their customers’ behavior. Insurance companies have been doing this for years. They recognized years ago that income and age were the two most important factors in migration. They offered low cost term insurance to young families with children, convertible to whole life policies when their clients reached their peak earning years, again convertible to paid-up policies upon retirement. In my case, about ten years ago, my life insurance agent began selling mutual funds in addition to insurance. He sold me a $200,000 policy when I was 50, which he has now converted to paid-up. Three years ago, he started me on mutual funds, which will finance our retirement. The significance of his technique is that he has kept in touch with me twice a year during the last twenty years, and was able to judge when I was ready for the investment option. Companies that sell only insurance or only mutual funds miss this migration opportunity entirely. Most companies cannot take this long view. They want migration now. Their idea of migration is to start a customer with one product, and advance him rapidly to three or four products. Whether you can do this depends not on age or income, but on other factors, such as share of wallet. If a customer is spending $1,000 with you per year, is that good or bad? It depends on whether the $1,000 is all he has, or is only a small percentage of his spending in your category. To learn that, you have to know more about his total spending. Fedex has developed a unique and useful way to determine which of their customers are ripe for migration. FedEx uses a variation of RFM to score their customers. The scoring method places principal reliance on monetary and frequency. They multiply the total monetary value shipped during a six month period by the total number of shipments. This number is doubled if the most recent shipment took place in the past three months. Using cluster analysis, they divide their customer base into seven clusters, each with common behavioral patterns. They are:
Fedex watches how customers in each of the seven clusters migrate from decile to decile during a two year period. Once this migration pattern is known, Federal Express develops a custom strategy for each group. For example:
What do you do about customers who are migrating down? When Sarah became a national sales exec, she had to fly somewhere every week. She soon became Platinum on American Airlines, flying first class. After ten years, Sarah was promoted to sales manager. Her salary and prestige went up, but she didn’t have to fly as much. American soon dropped her from Platinum to Gold, and eventually took away her premier status altogether. Sarah felt bitter riding on the back of the plane knowing that her employees were swilling it up in first class. She, the one person in the company who has the ability to swing a half a million dollars towards American or United, is treated like a tourist. But that was before American changed their policies. After a customer has accumulated a million miles, they make them Gold for life. This solved Sarah’s problem, and American’s problem as well. This is why it is so important to understand why customers are migrating down. Is it because they have defected to another supplier? Is it a behavior that we can influence and modify? Why do companies give special benefits to senior citizens? Is it out of compassion for the elderly? Perhaps. But most companies realize that, as a group, those over 65 have more disposable income than any other group. They are in a position to travel, to go on cruises, to stay in expensive hotels, to buy in-town penthouses. Their behavior can be modified by proper marketing techniques. They have migrated from being savers to being spenders. If you are starting migration analysis, it is a good idea to create a simple system which ranks customers by spending or lifetime value. In the following familiar chart, we have created five quintiles. In the top quintile are your best customers which probably represent 80% or some similar high percentage of your total revenue. You may want to market to these folks to get them to purchase more, but, on the other hand, that could be just the wrong approach. What these people need is not marketing, but extra super service, service that promotes loyalty. You want to create a feeling of equity in their relationship with you – something that they would lose if they defected. Where your marketing dollars should be directed is towards the second quintile. These people, many of them, have the ability to migrate up to Gold status with just a little more effort. If you can actually segment your customers into spending tiers with recognized boundaries, you can get Bronze customers to work to get Silver benefits. Silver customers will review their spending patterns to achieve Gold. If you want customers to migrate, create achievable status levels that they can work to migrate to. It is really up to you.
How can you put migration analysis to work to create profits from your database.? There are several key steps:
|
|
