Myth vs. Reality in Pricing Technology
Seven Myths and Outdated Beliefs That Are Causing Companies to Fall Further and Further Behind
Many companies hold perspectives that were accurate just a few years ago, but have since been nullified by technological evolution. In this special report, we expose seven of the most costly pricing technology myths and misconceptions we've encountered in our research:
- How the early days of giant pricing technology "suites" have created negative perceptions that are no longer valid.
- How many companies still hold inaccurate views about two core problems pricing technology is designed to solve.
- How the trend toward software-as-a-service (SaaS) has virtually eliminated three fundamental problems of the past.
- How the capability gaps between users and non-users of pricing technology is destined to get wider in the future.
This research 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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Isolating the Impacts of Price, Volume, Cost and Mix
Using this straightforward tool, you can finally put an end to the second guessing and skepticism by isolating and quantifying the contributions of price, volume, cost and mix to period-over-period revenue and margin differences.
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The Leading Edge of Customer-Specific Pricing
In this Expert Interview, Pete Eppele discusses current best practices and sheds light on what leading pricing functions are doing right now to manage and optimize their customer-specific pricing.
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Boosting ASPs (Average Selling Prices) to Drive Profitability
The use of averages are as common in business as they are in sports. Average selling prices (ASPs), however, can hide a lot of profitable truths. In this case study, Peter Maniscalco reveals how one building materials company dug deeper to find profitable opportunities.
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Analytics or Optimization... Which Do You Need?
When it comes to pricing technologies like pricing analytics and optimization, it's difficult to know which direction to take. But what if you could hear from an experienced practitioner who has actually used both pricing analytics and price optimization?
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