PROS Announces Plans to Showcase Cameleon CPQ on Salesforce1 Platform
Enables Smarter Selling Anywhere, Directly from Mobile Devices
HOUSTON & PARIS--(BUSINESS WIRE)--PROS® (NYSE: PRO), a big data software company, today announced plans to conduct a first-time demo of the Cameleon CPQ (Configure-Price-Quote) solution on the new Salesforce1 Platform. PROS will showcase the new offering at the upcoming Salesforce1 World Tour Paris event on June 26 at the Parc des Expositions de la Porte de Versailles.
“Cameleon CPQ provides our customers with comprehensive, next-generation sales effectiveness solutions today, designed for and delivered directly to the Salesforce community”
PROS EMEA Vice President of Marketing Virginie Dupin will demonstrate how Cameleon CPQ on the Salesforce1 Platform helps sales reps optimize the lead-to-revenue process, enabling them to deliver faster quotes and improve sales effectiveness, directly from their mobile devices – including phones and tablets – no matter where they are. The demonstration will take place on stage with salesforce.com Chairman and CEO Marc Benioff.
The PROS Cameleon CPQ solutions help sales reps win more deals by making quoting much easier, faster and smarter. According to Aberdeen Research, companies that employ CPQ solutions enjoy a 105% larger average deal size, 27% shorter sales cycles, 19% higher lead-conversion rates, and 26% more reps achieve quota compared with companies that do not use CPQ solutions.
“Cameleon CPQ provides our customers with comprehensive, next-generation sales effectiveness solutions today, designed for and delivered directly to the Salesforce community,” said PROS Chief Marketing Officer Tim Girgenti. “The Salesforce1 World Tour Paris event provides an extraordinary opportunity to meet customers and thought leaders. We look forward to showcasing our solutions and sharing best practices on how to make pricing and quoting easier, faster and smarter.”
PROS Holdings, Inc. (NYSE: PRO) is a big data software company that helps customers outperform in their markets by using big data to sell more effectively. We apply 28 years of data science experience to unlock buying patterns and preferences within transaction data to reveal which opportunities are most likely to close, which offers are most likely to sell and which prices are most likely to win. PROS offers big data solutions to optimize sales, pricing, quoting, rebates and revenue management across more than 40 industries. PROS has completed over 700 implementations of its solutions in more than 55 countries. The PROS team comprises more than 900 professionals around the world. To learn more, visit www.pros.com.
This press release contains forward-looking statements, including statements about the functionality and benefits of pricing software to organizations generally as well as the functionality and benefits of PROS software products. The forward-looking statements contained in this press release are based upon PROS historical experience with pricing and big data software and its current expectations of the benefits of pricing and big data software for organizations that implement and utilize such software. Factors that could cause actual results to differ materially from those described herein include the addressability of an organization’s pricing and revenue management needs, the risks associated with PROS developing and enhancing products with the functionality necessary to deliver the stated results and the risks associated with the complex implementation and maintenance of pricing and big data software such as PROS software products. Additional information relating to the uncertainty affecting the PROS business is contained in PROS filings with the Securities and Exchange Commission. These forward-looking statements represent PROS expectations as of the date of this press release. Subsequent events may cause these expectations to change, and PROS disclaims any obligations to update or alter these forward-looking statements in the future whether as a result of new information, future events or otherwise.
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