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Before Your Customers Defect,
Rope Them Back In With a Database

(July 15, 2004: Providence, RI) – If you don’t believe you have a customer defection problem, David Williams, founder and President of LoyalTec, LLC, thinks you’re fooling yourself.

“According to studies, the average retailer loses 30% of their customers each year,” Williams notes. “If that retailer has 10,000 customers today, at the end of five years they’ll be left with just 1680. They may not notice because they’re pumping all their marketing dollars into new customer acquisition to replace the ones they’re losing. But the problem is, it costs about five times more to acquire a new customer than to keep an old one.”

While retailers have seen customer defection as an unsolvable problem, advances in database technology coupled with creative marketing can significantly reduce its cost. The key, according to Williams, is setting up a model that accurately predicts when a customer is about to defect, and taking action to prevent that defection.

“Once they’re gone, it’s often too late,” claims Williams. “But if you can detect a change, based on their individual pattern of visit frequency, you have a lot of marketing options to bring them back before they find someone to replace you.”
Williams tells the story of one client who discovered a customer who had been spending $5000 a year in their establishment, with a visit frequency of every two days. “When they first came to me, she had been missing in action for an entire year, according to my analysis of their data. When I showed it to them, they were blown away. Here was a customer with a lifetime value in the neighborhood of $50,000, with a conservative referral value of another $50,000. Yet no one recognized her name or could recall her face.”

To help restaurants and retailers prevent costly customer defection before it happens, Williams has written a White Paper on the use of data to identify and keep profitable customers.

Titled “If Beatrice Blue is Your Best Customer, How Come You Couldn’t Pick Her Out of a Police Lineup?” the White Paper explains:

  • the four main causes of customer defection

  • why analyzing “average” customers is dangerous to your bottom line

  • the three big reasons that old customers are more profitable than new ones

  • why a few days’ delay in reaching out to a defecting customer can mean losing them forever

  • when to apologize to an angry customer and when to pretend nothing happened

  • how small businesses can use data to defeat the “category killers”

The White Paper is available for free from the LoyalTec website. To get a copy, visit www.LoyalTec.net/mia.

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