Four Ways to Get More Out of Pricing Analytics
Powerful Strategies for Producing More Meaningful Results from Your Pricing Analytics Efforts and Investments
There's no doubt that pricing analytics can be powerful—both as a toolset and as a business process. But it’s not a slam dunk. Contrary to the hype, analytical toolsets don’t provide benefits out-of-the-box. You can’t just install them, load them up with data, and expect results. In this guide, you will learn:
- How to avoid falling into the typical "reporting" trap and develop truly meaningful objectives behind your efforts.
- The various types of "growth drivers" you should be focusing your analyses on to generate significant impacts.
- The critical foundation that can make your pricing analyses far more accurate, relevant, and credible to others.
- The fatally-flawed assumption behind many analytics initiatives and what you can do to avoid the same mistake.
This guide 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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The Price Segmentation Self-Assessment
Simply answer the questions in this self-assessment (objectively) to gauge the likely quality, accuracy, and efficacy of your price segmentation model. You can assess overall quality, as well as pinpoint specific opportunities for improvement.
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Driving Strategic Decisions with Pricing Analytics
Most often, pricing analytics are only used to evaluate specific deals, identify pricing outliers, and measure price performance over time. But in the right hands, armed with the right questions, pricing analytics can serve a much more strategic purpose.
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Anticipating Competitors' Pricing Moves
Your competitors' pricing actions (and reactions) add even more complexity to pricing. So what can you do to anticipate competitive moves and prevent them from spoiling your pricing efforts?
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How to Leverage Big Data & Pricing Science
In this expert interview, Jim Vaughn, the author of a new book called "Stop Racing in a Blindfold," talks about how to combine Big Data and Pricing Science to drive better financial results, at scale, and on a go-forward basis.
View This Interview

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