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Book Review: The Price of Influence by Claire Wang

10 minutes ago
4 min read

Your Idea Is the Product: What Pricing Can Teach Us About Influence



Anyone who has worked in pricing, marketing, or leadership positions knows the feeling.

You've done the work. The analysis is solid. The opportunity is clear. The recommendation makes sense.


And then… nothing happens.


The idea stalls in a meeting, gets pushed to next quarter, or simply disappears.


This is something I've become increasingly interested in through my own work in AI-driven pricing.


Finding the right answer is only part of the challenge. Getting people to support it and ultimately act on it can be just as important.

That's why I found Claire Wang's new book, The Price of Influence: Why Ideas Get Ignored & How to Win the Yes, particularly interesting.


I've known Claire for some time through the pricing community and have always valued both her perspective on pricing and our exchanges. I had the opportunity to read an advance copy she shared with me, and I found myself applying some of its ideas before I'd even finished it. So, I was genuinely excited to receive a signed first-edition copy.


What really stayed with me was the central idea behind the book: your idea is the product.


Your idea is the product


Claire starts from a simple but powerful reframe:

"Your idea is the product. The person you need a yes from is your buyer."

From there, she applies the logic of pricing to something we don't normally think of as having a price: our ideas.


When someone decides whether to support your recommendation, they're making an exchange. They aren't evaluating only its potential value. They're also evaluating what saying yes will cost them: time, effort, money, reputation, and the risk of being wrong.


That's a powerful way to think about why even good ideas get rejected.


In pricing, we would never assume that because a product has value, every customer should buy it. Value depends on the buyer, their needs, their alternatives, and the price they have to pay.


Why should ideas be any different?


Influence isn't about convincing


One of my favorite ideas in the book is Claire's distinction between persuading someone and inviting them:

"We don't influence by forcing. We don't influence by convincing. We don't influence by persuading. We influence by inviting."

That distinction matters.


When we believe strongly in an analysis, our instinct is often to produce more evidence. Another chart. Another argument. Another reason why the recommendation is objectively correct.


But the obstacle may not be evidence at all.


Claire describes the Authority Trap: assuming people will follow because you're senior, because you're the expert, or simply because you're right. But authority can produce compliance without necessarily producing commitment.


That resonates strongly with what I've seen in pricing projects.


You can quantify an opportunity extremely well and still have someone hesitate because acting on it creates risk for them. Perhaps they need to defend the decision internally. Perhaps it challenges an established process. Perhaps the upside belongs to the company while the downside of getting it wrong feels much more personal.


Seen through Claire's framework, that's not necessarily irrational resistance. It's part of the price of saying yes.


And that price needs to be understood just as carefully as the value of the idea itself.


Enter your buyer's world


One of the strengths of the book is that it doesn't leave the concept at an abstract level.

Claire reduces the journey to four memorable steps:


Know your buyer. Enter their world. Make your move. Become the default.


Several ideas particularly stood out to me.


Diagnose before you pitch. Does the person you're speaking to actually feel the problem strongly enough to act? Is this even the right buyer?


Don't assume other people see the world as you do — ask to learn. Your own experience, expertise, and incentives don't automatically tell you what matters to the person sitting opposite you.


Keep the display simple. The underlying analysis may be extremely sophisticated, but what the customer — or decision-maker — sees should be simple.


I see this often in my own work in AI-driven price optimization. The algorithm may be complex and sophisticated, and the predictive insights countless, but you still need to present them in an intuitive way that the customer can understand, value, and act upon.


From insight to action


This is ultimately what made The Price of Influence particularly relevant to me.


In price analytics — and increasingly in AI — we spend enormous amounts of effort improving the quality of the answer.


Better data. Better algorithms. Better predictions. Better optimization.

All of that matters.


But there is another part of the equation: will anyone act on the answer?


A technically superior recommendation that nobody implements creates no value.


Claire's book provides a useful framework for thinking about that last mile. Not by abandoning evidence or rigorous analysis, but by recognizing that the person receiving the recommendation has their own value equation.


What do they gain by saying yes?

What does saying yes cost them?

What risk are we asking them to accept?

And have we made the value compelling enough?


For people working in pricing, that logic feels remarkably familiar, but it can be applied everywhere.


Who should read it?


Despite the pricing lens, this isn't really a book only for pricing professionals.


I'd highly recommend it to people working in pricing, marketing, sales, and leadership — and more broadly to anyone whose job depends on getting good ideas adopted by others.


It's practical, engaging, and full of examples, without turning influence into a collection of persuasion tricks.


More importantly, it offers a genuinely interesting reframe:


Even good, well-thought-out ideas can still fail if we don't put ourselves in others' shoes and invite them to embrace the idea.




Interested in learning more about AI-Powered Price Optimization and Strategic Forecasting?



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