Why Understanding Customer Power & Risk is Not Pricing Optimization
We recently conducted a webinar in conjunction with the Professional Pricing Society where we discussed the 8 Myths of Pricing Optimization. The webinar was so popular and highly rated that we decided to expand upon it in eight blog posts over the coming weeks.
If you missed the first blog post on this topic, we offer the link for your convenience.
Based on Myth #2: Rules or Policy-Based Optimization is Not Really Optimization
Every company operates with “rules of thumb” for customer pricing. For example, a healthcare distribution company may know that plastic surgeons are generally less price sensitive than general practitioners. Or a delivery service may know that legal offices are more price-sensitive when they send letters – which they do a lot – versus sending large packages. In the pricing community, the most generic version of this rule of thumb is that changing pricing for larger customers is more risky than smaller customers since they have more negotiating power. While all of these rules-of-thumb seem intuitive and, in general may even have some basis in truth, they fail to recognize the individual customer differences.
Let’s say I’m a large industrial manufacturer that produces rivets for a number of industries. My rivets are used in many applications, and I have customers large and small. Conventional wisdom tells me that the larger the customer the more I should discount my products.
But take an example of a smaller company that uses my rivets in its machines that produce a single, commoditized product. To drive down costs, its procurement department makes sure to price-shop each and every purchase. I am constantly price-shopped, and since my rivet is a commodity itself, I can never get more than a 5% margin. Contrast that with a large, multi-national company that I supply machines and hundreds of parts to on an annual basis. The rivets are a critical part of their operations, but represent a small purchase that’s never scrutinized when it’s time for re-ordering.
Which one sounds like the more price-sensitive customer to you?
If I used conventional wisdom, I’d bucket the larger customer into a group that receives a lower price or a lower-price increase. How does that make sense? This rules-based methodology, also known as heuristics, is often misnamed as pricing optimization by a cadre of consultants and technology providers who have no idea how to help you – other than automating your existing process.
If you just automate and speed sub-optimal pricing in your business, what happens when your competition uses true customer-centric optimization against you in the marketplace? Better get your resume ready.
So exactly how do you optimize, based on an individual company’s willingness to pay? Stay tuned for the answer in Part Six of this series.
Patrick




