Using Analytics to Unlock the Power of Your Customer Data
April 24, 2008
One of our pet peeves is unorganized, dirty customer data. I know — we must lead very sad lives for this to be the case.
However, here’s the scenario we find again and again. We’re helping a client plan their direct marketing strategy. We ask them for a sample of their customer data. We find that it is in such a terrible state of disarray that no one can make heads nor tails of it . . . arghhh! Or, worse, they have a difficult time finding the actual “owner” of the database. It can get messy! But out of disarray comes opportunity — it’s the whole making lemonade out of lemons thing.
I’ve seen many articles lately stating that companies just aren’t getting the most from their customer data. And, we’ve seen this to be quite true. And most of the time it’s because of unorganized data. However, the beauty of a dirty database is that there is such a wealth of opportunity waiting to be unlocked if you bring in an analytic approach. And, you can start by mining your customer database and uncovering all of the elements that make your customers your customers. Data mining gives you the power to market to your customers more effectively — appealing to their needs and ultimately getting them to respond and buy.
Starting out with data exploration, you’ll begin to see common themes emerge that you never knew existed. Mining your customer data provides you with the intelligence to set your direct marketing strategy, and really make your products and services appeal to your customers, which in turn, creates a stronger relationship with them.
So, the next time you think that your database is a mess and that you can’t get IT to give you the information that you need in order to conduct your direct marketing campaigns effectively, bring in the data miners. Unleash them on your data (give us a call — it makes us happy to do this stuff!) and let them help you realize the gold nuggets that have been locked away in your customer database. We promise that data mining will pay dividends in terms of customer loyalty and response.
Entry Filed under: Data Mining. .
1 Comment Add your own
Leave a Comment
Some HTML allowed:
<a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>
Trackback this post | Subscribe to the comments via RSS Feed
1.
Buy » Using Analyti&hellip | April 25, 2008 at 1:52 am
This is an interesting post today on how to appeal to customer’s needs and ultimately get them to respond and buy!