As it turns out, what you don’t know about your salespeople can hurt you. I am not sure why, but we don’t often associate analytical tools as the best way to measure the performance of the people we hire to connect with our customers and build lasting relationships. I’m a common sense guy, so if my staff is hitting their numbers and selling cars, there’s really no reason for concern or to take a deeper dive into the opportunities they’re working…right? Not necessarily.
What I’ve come to accept over the last few years is that when good data is presented in a way we can easily understand, it has a tendency to challenge everything we “think” we know about selling cars. Too many of us think that we are the “Presidents of the I Think Club.” I learned that from one of the truly smart guys in the car business, Gary Marcotte, over 10 years ago and I’ve never forgotten it.
Dealers have always been able to see their close rates, or how many opportunities each salesperson successfully converted into a vehicle sold. But there is an entire other half (or I could argue 2/3) of the story they haven’t been getting – and that’s how many opportunities they didn’t close and purchased a car from someone else – or in other words, their defection rate. When you layer in data that shows defection rates to competing dealers or brands in your market, it gives life to a story we’ve not only never been able to see before, but one we never even thought to look at before.
I sold cars for seven years, spent years as a sales manager, then the General Manager of a dealership and I eventually became the CMO of large dealer group with 1,100 salespeople to account for. It would have been impossible to analyze every opportunity every person in our organization touched – so the first time I saw this data in action I was blown away.
Take a look at the graph below. The blue line shows how many cars each individual sold during this 3-month time frame. The gray lines show you the number of opportunities that salesperson touched that went on to buy from someone else – whether it was a same make competitor in your market (light gray) or from a competing brand (dark gray).
In this example, this dealership thought that John was one of their best salespeople. But when you look at your CRM data with a 3-dimensional lens and layer that lost sale (defection) data on top of it, you start to see the true story behind your “all-star” players. You see how many opportunities John touched that went on to purchase from your competitor down the street or from a different brand entirely.
In reality, Jordan is this dealer’s best salesperson. Based on the opportunities he was working, he sold substantially more than he lost. In fact, out of everyone, he lost the least amount of opportunities. So success doesn’t always translate to selling more cars than you did last month. It can also mean losing fewer opportunities to competitors.
Here’s another example. The screen shot below shows the actual effectiveness of a salesperson as they compare to the dealership overall. So in this case, Jim may only be selling 8 cars a month, but because he’s not getting all the opportunities, his effectiveness is 149% – meaning he’s outperforming based on the leads he’s getting. Bill on the other hand might be getting way too many opportunities and he might look like one of your best sales people, but he’s really only about 47% effective towards closing everything he touches.
Your best salespeople are the ones who consistently deliver HIGH close rates and LOW defection rates. But you need that defection data to see who your real winners and losers are. Think about it like this, a pitcher that has a lot of saves, but has equally if not more blown saves, doesn’t really help the team. Or if a starting pitcher has 10 wins but has 14 losses, is he really a great pitcher? If you only looked at saves or wins, you might think so but when you can see everything at once, the story changes. This is the same sort of comparison.
Keep in mind that if a salesperson has a high defection rate, it may not always be their fault. Maybe they’re being assigned far too many leads than any one person is capable of handling. Or the types of leads they’re working come from providers with low overall close rates. There are all these other factors involved. But those are topics for a different day.
If dealers look at their business through this new lens, they will start seeing trends of opportunity and loss that they can’t see by just looking at their own data and what happens within the four walls of their dealership. In order to determine true success or failure you also need to look at the sales effectiveness outside of your dealership.
Author: David Metter
David Metter is the President of AutoHook powered by Urban Science. Prior to joining AutoHook, he served more than six years as Chief Marketing Officer for MileOne Automotive, a large, privately-held automotive dealership group. At MileOne, he built an industry-leading marketing organization, leveraging technology and the internet to increase market share while dramatically decreasing advertising spend per vehicle sold. David previously headed sales for Autobase, where he helped grow the company from a small start-up to the leading automotive CRM software vendor. He began his career on the showroom floor. As an early adopter of arising technologies, he built a prospecting and follow-up system that helped him rise to become one of the top Chrysler salesmen in the country, and eventually General Manager of a dealership.