Working with countless customers through the years, PROS has created an amazing repository of hundreds of customer testimonials, recordings, and case studies. Which is great, but let’s be honest: It’s typically not that difficult to find a customer or two to sing your praises.

So, how do you know the customers we showcase aren’t just the lucky few, cherry-picked to show off almost unattainable results? How do you know your business investment will pay off?

You need statistical significance. Statistical significance quantifies whether a result is likely due to chance or to some factor of interest. It determines that the results of your data are not explainable by chance alone. When a finding is significant, it means you can feel confident that it’s real.

In studying customer results, the PROS science team discovered we could share broad, average ROI results more effectively—while still protecting customer anonymity. Scientists reviewed 400+ media and document files, manually labeled data findings, and aggregated them to the customer level. The data was then cleaned by deduping any findings considered duplicates and revenue lift comparisons were standardized and confirmed through queried customer sales data, annual revenue, and PROS product implementation records.

Quantifying ROI in a standardized way was key to this analysis. This was done through determining three ROI categories of Efficiency Gain, Revenue Lift, and Margin Improvement. The science team then created summarization statistics overall which showed valuable ROI findings of statistical significance.