Really knowing who your customers are a couple of years after launch is surprisingly hard for eCommerce companies. When the company first launches every sale is noticed: alerts are set up to see when a sale happens, the entire company will talk about it, and there is a good sense of who is buying and why. A few years into a successful eCommerce company the marketing team becomes removed from the customer. People start focusing on improving metrics like click-through-rate, average order value and conversion rate. These numbers allow revenues to grow without knowing who is buying and why. Getting back to knowing the customer isn’t easy, but here are a few steps I’m taking.
Regular Phone Calls
Every week I’m calling customers to understand why they buy from us, what problems our sign solves, and what experience they have with our company. The purpose of these calls is discovery. I’m looking to get a sense of the psychology that drives purchase behavior. Good information comes from these calls, but they don’t help quantify the problems. In a month or two, I’ll start sending out surveys to see how many people are affected by the problems I’ve discovered. Another technique to reach the customer is customer visits.
Customer Visits
I’ve done this intermittently so far, but it will become a bigger focus in the near future. Seeing how people use your and competitor’s products is enlightening. There are small details of the user experience that often get overlooked during the design of the product that become apparent when you can see a customer use the product.

Here’s a small example: we sell double-sided tape that could be used to mount these signs without the masking tape showing, giving a more professional look. We don’t go out of our way to let people know about it on the site, but the double sided tape would have solved the customer problem and resulted in more revenue for us.
Data Mining
Getting customer data from your database is always a great thing to do. Figuring out what variables matter, writing queries, formatting data, and then running tests can take awhile. However, this can be a very powerful tool to identify different types of users based on behavior. SPSS is a great software package to use for this purpose, but Excel and add-ins can go a long way to replicating SPSS functionality at a much lower cost.
Usability Testing
I’m going down the usability testing route for my fist time next week, but expect great things. I’ll write a post with more details about what I tested, how I tested it, and lessons learned after the actual tests.
Of course, all of the time spent talking to customers and understanding their pain could be a waste of time if actionable ideas don’t come out of it, or the execution on those ideas are poor. More to come as ideas from the market focus get put into practice.
