Marketing’s Best Blogs is a compilation of posts on topics of
interest to direct marketers and other marketing professionals. Bloggers from the Target Marketing website are featured, supplemented by links to third-party blogs.

Click here to view posts by date published.

Produced by:

Today on Target Marketing

DATABASE/LISTS/CRM

  • Marketing Nuggets

    Michael Lowenstein

    Avoiding the One-Night Stand

    Michael Lowenstein | July 15, 2014

    Stating that all customers are not created equal is hardly an oversimplification. But, just like the pigs in Orwell's "Animal Farm," some customers are more equal than others. No company has unlimited resources to equally service or support all its customers. Repeat buying power, the essence of customer loyalty, is everything. Some customers are worth a great deal, some may become more valuable over time, some may be valuable for a brief period but may be easily lured away, and some are never likely to become valuable.

  • MineThatData

    Creating vs. Capturing Demand

    July 13, 2014

    I wanted a healthy portion of breaded lake perch, something you're not going to find in the Pacific Northwest.One simple search "breaded lake perch" took me to Walleye Direct (who knew), where, you can get all the breaded lake perch you could ever want.This is called "capturing demand". Walleye Direct did not create this order. Rather, they used marketing smarts to steer me to them, once I decided I wanted to buy lake perch.An entire generation of marketers have been trained to capture demand. E-commerce continues to grow because the first generation of online marketers have more than a decade

  • Big Data, Small Data, Clean Data, Messy Data

    Stephen  H. Yu

    Big Data Must Get Smaller

    Stephen H. Yu | July 17, 2014

    Like many folks who worked in the data business for a long time, I don't even like the words "Big Data." Yeah, data is big now, I get it. But so what? Faster and bigger have been the theme in the computing business since the first calculator was invented. In fact, I don't appreciate the common definition of Big Data that is often expressed in the three Vs: volume, velocity and variety. So, if any kind of data are big and fast, it's all good? I don't think so. If you have lots of "dumb" data all over the place,