Predictive Analytics

Question: How much money could you make if you knew what your customers wanted, even before they knew?

Answer: A lot.

There is a subset of Information Theory called “Predictive Analytics.” It can be used to predict a wide range of customer behaviors, including but not limited to purchase decisions, purchase timing and credit defaults.

The technique involves comparing the decision patterns of an individual customer with the decision patterns of all other customers to predict a likely decision for the individual customer.

Let’s say you own a small grocery store:

If nine customers come in and buy hot-dogs and buns and the tenth comes in and only buys hot-dogs, the chances are excellent that if you ask “Would you also like some buns?”, the answer would be “Yes!”

This is because you already know that almost everybody who buys hot-dogs is a good prospect for buns.

If all you sold were hot-dogs and buns, you wouldn’t need any help. However if you sell hundreds or thousands of different items, it’s impossible to “already know” what to recommend.

We write software that tells you what your customers want, even before they know.

If you want more sales and bigger profits, all you have to do is call.

Comments are closed.