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Whether you have specific questions about driving better pricing outcomes in a B2B environment—or just want to know which questions you should be asking—the library of questions in the PricingBrew Journal makes it easy to find the answers and resources you need.

Here are just a few that subscribers get access to:

  • Why is accurate price segmentation so important?
  • What does a real price segment look like? What defines it?
  • Are there other profitable growth drivers a pricing team could focus on?
  • When conducting research interviews, how many should we try to conduct?
  • Should I give my salespeople a specific price, or is a range OK?
  • Our competitors are offering a lower price. Why wouldn’t a customer just take their offer?
  • Why don't more B2B companies measure and utilize price elasticity?
  • How do I know if my value messages are really "strategic"?
  • What if the root-causes are in an area that I don't have a lot of lot influence over?
  • When doing competitive analysis, where else can we look to uncover our competitors' priorities?

This question is just one of hundreds of educational resources you get access to as a PricingBrew Journal subscriber.

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More Subscriber-Only Resources From Our Library

  • The Functional Area Cheat Sheet

    A quick overview of the common ways different internal groups can have an effect on pricing outcomes and suggestions for how you might be able to diplomatically help them help you.

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  • Getting Them to Pay More

    How you get your customers to pay more without having to handhold every single transaction? In this session, learn how to influence willingness-to-pay consistently, systematically, and at-scale.

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  • How to Tackle Trade Tariffs

    In this insightful conversation, Sean Arnold helps us sort through the issues and understand our options when addressing the latest addition to our list of pricing challenges: trade tariffs.

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  • Working With "Bad" Pricing Data

    In B2B, there are so many moving parts that always having a perfectly accurate and complete dataset just isn't very realistic. So we've got to figure out how to do the best we can with the data we've got.

    View This Webinar