I spoke with BigCo, Inc. They wanted their B2B salespeople to become trusted advisors.
They felt (correctly) that greater trust levels with their customers would result in greater intra-customer market share and greater profitability. And they were right – as far as that goes.
But they then described to me their implementation plan. It consisted of breaking down the objectives into finer and finer components and matching them up with accountable business units – pretty standard practice.
As we dug deeper, a pattern emerged. The higher penetration levels, for example, were broken into more sales calls, more proactive ideas, and greater time spent up front. On the face of it, that sounds perfectly reasonable: if penetration were to increase, you’d probably see these changes in activities.
But there’s a causation/correlation problem here. Simply increasing the number of sales calls won’t do a thing; they have to be good calls. Simply offering more ideas won’t do a thing; they have to be decent ideas. Simply spending more time up front won’t do a thing; the time has to be well-spent. And simply assuming good calls, decent ideas, and well-spent time does not make it so.
This sounds perfectly obvious in the telling, but I have found that BigCo’s story (which is a composite of several clients) is common. It may even be the norm.
BigCo confused key performance indicators (KPIs) with critical success factors (CSFs). They confused correlation with causation. They confused measurements with the things being measured. And since we live in a management world that uncritically worships metrics (“if you can’t measure it, you can’t manage it”), this confusion has critical and strategic implications.
That’s especially true when you’re trying to implement a values-driven strategy – such as becoming trusted advisors.
Measurement and Management
Just because something sounds obvious in the retelling, it doesn’t mean it’s obvious when you’re in the middle of it. Case in point: BigCo’s flawed logic in their approach to trust-based selling.
Increasing penetration requires more sales calls, they thought, and they’re probably right. Their mistake lay in thinking that “more sales calls” was a cause. It’s not – it’s an effect.
“More sales calls” may be a KPI, but it’s not a CSF. It may be an outcome, but it’s not a driver. “More sales calls” is a metric. It is not the thing that “more sales calls” is intended to measure. That “thing” is something like “more high-quality interactions driven by mutual curiosity.”
This confusion between actions and measurements, causes and effects, and KPIs and CSFs is not just common – it’s becoming rampant. It’s a real issue for digital age businesses in some ways even more than old-line businesses. Let’s look at some examples.
Gaming the Numbers
We’re all familiar with the salesperson who knows how to tweak an imperfect system to maximize his commissions at the expense of, say, the company’s gross margins. “Hey, I’m just following the incentives you built in,” he might say. That salesperson seized on a metric that imperfectly measured the company’s intended sales behaviors. (The proper management response would be not to change the metric, but to insist on a higher set of principles that overrule one misguided number.)
The next time you get a customer service operator on the line, check to see whether they conclude by saying something like, “May we say that I gave you excellent customer service today?” You are experiencing a system that is driven by metrics to the point where operators shamelessly beg for ratings. The metrics have been pimped out to serve a goal other than the customer service they were meant to measure.
See for yourself. Go to Amazon, and search for books under any significant topic you like (e.g., sales). Make sure you sort on relevance. It’s amazing how many books are rated over four stars (out of five). The reason is simple: we have been taught to look for ratings. Of course, the emphasis on ratings suborns all kind of perjury, misleading comments, and even outright falsehoods.
It’s not just books. Look at the flood of “recommendations” on LinkedIn. Look at the massive follow-me-I-follow-you dynamic on Twitter and other media. Or just look at your own behavior. What do you do when a friend asks you to rate a book, promote a blog post, or recommend them? There is monstrous grade inflation in most customer-rated aspects of business today.
Much of this comes down to our obsession in business with metrics. It goes back to the invention of the spreadsheet and the success of books such as Reengineering the Corporation. Numbers-all-the-time is today’s secular business religion.
The Wages of Confusion
The “so what” is big indeed. Assume any metric, almost by definition, has to be a pale reflection of the “thing” that is to be measured. We accept anniversary gifts as tokens of our love, market share as an indicator of competitive success, and, in the case of BigCo, numbers of sales calls as indicators of trusted advisor relationships. But we all know an anniversary gift does not a marriage make.
The only way to become trusted advisors to your customers is to gain the trust of your customers. You do not cause trust by increasing the number of sales calls; rather, greater trust causes more invitations for you to call on prospects. Doing the dishes doesn’t cause a great marriage; instead, a great marriage results in your doing the dishes willingly.
Confusing KPIs with CSFs causes KPIs to be artificially inflated. We know this intuitively, and so we discount them – while still trying to get higher scores on more of those discounted-value KPI metrics. We all know the game is rigged, but we keep playing it faster and faster.
What’s at stake is nothing less than how we implement things like “better client relationships.” You don’t get there by measuring metrics and deluding yourself that you’re addressing root causes. You get there only by understanding what it takes to interact with your very human customers—and then doing it.
Do that, and the numbers will take care of themselves.