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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:
- Aren't people usually the root-causes behind most pricing problems?
- What's the difference between pricing analytics and optimization?
- If we spot a potential customer defection early enough, can we turn it around?
- What are some good ways to talk about price/volume tradeoffs?
- How can pricing skills be applied to other profitable problems?
- What is the average % lift reported by those using price elasticity to set prices?
- How can I tell what a customer's real agenda is and identify what type of buyer they really are?
- What is a "Mix Shift" customer defection and how do I spot it?
- How can I tell if a customer is defecting early enough to do something about it?
- Are there downsides to grandfathering existing SaaS subscribers into their current pricing levels when we raise prices for newbies?
This question is just one of hundreds of educational resources you get access to as a PricingBrew Journal subscriber.
More Subscriber-Only Resources From Our Library
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17 Customer Insights for More Strategic Pricing
Having a better understanding of your buyers can help make profitable pricing outcomes the natural result. This guide reveals 17 powerful customer insights that are proven to be beneficial for creating advantageous pricing conditions.
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Avoiding Guesswork in Value-Based Pricing
Most value-based pricing initiatives aren't small undertakings--and shouldn't be left to trial and intuition. This guide outlines a proven research process that can get you started.
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Getting Control of Discounting
In B2B, discounting tend to be the norm rather than the exception. How do we make sure the discounts are appropriate and warranted? And how do we do it without alienating the sales team?
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Pricing Through Uncertainty
As pricing pros, we're expected to make weighty decisions with imperfect information. How do we "illuminate" the landscape a bit? What steps can we take to reduce the ambiguity, uncertainty, and risk?
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