pricing analytics

Article archives from the Pricing Pricing Society

Conjoint Analysis Supporting Price Decisions

While there are other research techniques that seek to understand the perceived value of products or services, the Conjoint Analysis method indirectly addresses the customer and therefore bypasses biases from direct research methods that make it harder to correctly model consumer choice behavior. In this article, the authors examine the benefits of Conjoint Analysis in developing pricing strategies, present several methods for applying this approach and review case studies of successful pricing projects.

By |2022-05-14T16:08:14+00:00October 31, 2019|Pricing Analytics, Pricing Articles, Pricing Research|0 Comments

Pricing Dashboard Design

Executive dashboards are valuable tools for coordinating across disciplines as well as for communicating critical business metrics to executives. Since pricing impacts these key business metrics, which elements should the pricing team include in their pricing dashboards? In this article, the author provides a list of items to consider when building a pricing dashboard.

By |2022-05-14T17:48:18+00:00July 31, 2019|Pricing Analytics, Pricing Articles|0 Comments

Pricing is a People Game: Why data alone will not help us boost profits

As pricers, we are analytics people and get very excited about the data that we collect and analyze, only to be frustrated when the rest of our organization doesn’t understand our enthusiasm for our data analytics and resulting pricing strategies. How do we take our insights and convert them into initiatives that our whole organization will support?

By |2023-10-29T21:11:01+00:00October 31, 2018|Data-Driven Pricing, Pricing and Sales, Pricing Articles|0 Comments

Best Practices in Big Data Management and Pricing Analytics

Garbage in garbage out! Before you start working on data analytics, there are a variety of preparation steps that are critical to make sure you are heading in the right direction. Of course, you have to make sure you locate all the data sources in your organization. You will be surprised how much data is already available before you even think about adding more. Then you have to prepare your work by mapping the data points and starting the extraction process. Finally, you can think about connecting and leveraging all of these data sets. Remember that you have to learn to walk before you can run. These preparatory steps are essential for your success in data analytics. The more you invest up front, the more you will benefit from your data.

By |2023-10-21T19:44:09+00:00February 28, 2018|Data Management, Pricing Analytics, Pricing Articles|0 Comments

Practical Analytics: Cutting through the Garbage

There are hundreds of vendors, technologies and services that use analytics, but deciding on what the right solution is for your business can be difficult. In this article, the author presents 6 practical tips for selecting the right analytics solution. This article is specifically relevant to pricing with the continued growth of Big Data applications and the importance of consumer analytics in pricing decisions.

By |2024-02-17T20:12:02+00:00September 30, 2017|Pricing Analytics, Pricing Articles|0 Comments

Pricing Insights to Measure and Monitor Change

In this article, the author presents some basic analytics and reporting strategies that every pricing and/or sales operations team should use to identify and combat discounting cultures and to drive improved profits within their organizations. He also explains how to uncover the drivers of discounting and the effectiveness of an organization's profit improvement initiatives using a combination of waterfall analysis and Pareto analysis.

By |2023-11-05T20:26:22+00:00February 28, 2017|Pricing Analytics, Pricing Articles, Pricing Strategy|0 Comments

Utilizing Customer Loyalty Data to Enhance Value Pricing

Industry studies prove the correlation between higher customer loyalty, growth, and price. Customer loyalty data gives insights that go beyond product attributes and into the value of the customer experience, often uncovering more value than you realize you deliver. By harnessing this customer loyalty data, companies can improve and strengthen their value pricing strategies, as the author explains.

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