This is Part One of a five-part series: Joy of Honesty in Business
Which of these pricing strategies is more persuasive?
- If you buy now, I’ll get you a discount.
- The price is going up, but, if you buy now, I will lock in your rate.
Both are types of discount. The typical software sales strategy is No. 1. It’s often applied to get the customer to “close” before the end of the month or quarter or some other arbitrary time boundary.
At first blush, it seems harder to persuade with No. 2. After all, No. 1 means the customer pays less than No. 2, because No. 2 isn’t a real discount — it’s a discount against some future price, which is a lot harder sell than a discount today.
But for me, the evidence is overwhelmingly in favor of No. 2. Here’s why, from the point of view of the customer.
You’ve already established your price. In strategy No. 1 there’s a discount if I “act now.” Hmm, so that means the old price wasn’t really the price after all. The old price must have included a nice slice of pure profit that apparently you’re willing to leave behind. So, you were gouging me before. And, the only reason I found out about it is that it happens to be the end of the quarter?
This is how No. 1 breeds mistrust — the opposite of what you’re trying to establish with me, your customer. In No. 2, you’re looking out for my interests. You’re cluing me in that there might be a rate increase, and you’re actively protecting me from it. Sure, I know there may not be an increase, or it may not come for a while. But it’s still protection, not a gouge that you graciously chose to reveal.
Four years ago I was trialing “.TEST” from Parasoft. It was buggy. Even after hours of remote desktop control with tech support, we couldn’t get it to stay up long enough to scan my code.
But the salesman was persistent. The conversation went like this, minus many minutes of sales-speak on his end of the phone:
“How much will this cost me?”
“$20,000.”
“Wow, I thought you were going to say $2,000. That’s way out of my price range for one person and this product. In fact, I’ve looked at FxCop and NUnit and [something else] and it seems to me I can do the same thing with free tools. I was willing to pay for some convenience, but not that much.”
“Let me see what I can do.”
“No, never mind. It’s, like, an order of magnitude problem.”
He called back the next day.
“$1,500.”
I didn’t buy. I talked to someone who did, though. A reference customer. That guy said he paid $20,000. I asked how he liked it and whether he encountered the crash problems I was seeing. He said they hadn’t installed it yet, but the demo looked great. I made a mental note to try to understand the mentality and budget that forks out $20,000 for a nice demo.
But getting back to the point. If he can go from $20,000 to $1,500, maybe he will go to $1,000. Yes, this strategy means often you will extract extra money from me. But, it also means I don’t know where the floor is, and I have every incentive to haggle. The process drags out, ending at gunpoint. Meanwhile, your “customer relationship” is now more of a “hostage situation.”
So, let me get this straight: It’s better to get an extra 10 percent on every order, but create an adversarial environment with me, your cherished customer? This is enterprise sales, right, where the pilot is 30 seats and the roll-out is 2,000? And you’re going to risk pissing me off over 10 percent on the 30-seat part?
And, now, imagine if I had called back that reference customer and told him he could’ve had it for $1,500? Yet another problem with discounting — word gets around. Meaningless differences in pricing are unfair, and, now, I, the customer, see you as plain old dishonest. Goodbye 2,000-seat order.
Even if we set the honesty/relationship argument aside, there’s the matter of image.
What kind of company provides a No. 1-style discount? Wal-Mart, Target, Walgreens. No, software companies. Try to get quotes for Microsoft or Oracle or IBM products for 1,000 desktops. Everything’s negotiable, everything’s discountable. At best, it conjures images of haggling and struggle; at worst of low-quality or the desperate need to “meet numbers” at the expense of everything else.
Which companies don’t discount, ever? Apple, Google, Constant Contact. No discounts on iPhones. No haggling over AdWord prices. What’s the image? Desirable. The best. Worth paying for. The leader doesn’t have to compromise. The leader isn’t desperate for orders.
Strategy No. 2 implies growth. You’ve planted “higher prices” in my head now. Supply in software is unlimited, so that must mean demand is increasing. I won’t go through that calculus, but, certainly, I feel the product is becoming more valuable, not less. Discounts feel like unloading unwanted product; price increases feel like success.
Strategy No. 2 implies I’m part of a club. I’ve gotten in early, on the ground floor, before the product explodes in popularity and prices go up. And I’m rewarded for this support and loyalty with price protection. A “thank-you” from you to me because I was part of it, because I was there before you were big and expensive, because I took that risk with you.
So there it is. No. 1 means less money now, an adversarial relationship, a never-ending struggle over money, and a message that maybe the product needs a discount to be desirable. No. 2 means more money now, a consistent and fair pricing policy, an inclusive, special customer relationship, and a message of market leadership and growth.
So why do 90 percent of software companies pick No. 1?
This post originally was published March 22, 2008, on Jason Cohen’s blog, “a smart bear.” Check there to see comments and more tips from his readers!
Jason Cohen founded Smart Bear Software, maker of Code Collaborator, a tool for peer code review and recent winner of the Jolt Award. He took Smart Bear from start to multiple millions in revenue and 50 percent profit margin without debt or VC, then sold it for cash. He also is a founding member of ITWatchdogs, another bootstrapped startup which became profitable and was sold. He’s also a mentor at Capital Factory (like TechStars or Y-Combinator in Austin). And, he’s the author of Best Kept Secrets of Peer Code Review, the most popular book (35,000 copies) on modern, lightweight methods for doing peer code review effectively without everyone hating life. He blogs at “a smart bear.” Email him: jason (at) asmartbear (dot) com





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