ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

PAR Technology’s Punchh® Unveils New Machine-Learning Features to Personalize Loyalty

Leading loyalty software launches Feedback Sentiment, Smart Segments and Send Time Optimization for all existing and new customers

ParTech, Inc. (PAR), a global restaurant technology company and provider of unified commerce for enterprise restaurants, announced today that its industry-leading loyalty software Punchh® is expanding its capabilities with three Machine-Learning (ML) features that will enable restaurant and c-store operators to better personalize loyalty offerings.

By utilizing ML — the use and development of computer systems that learn and adapt using algorithms and statistical models to analyze and draw inferences from patterns — all existing and new Punchh® customers will be able to utilize inferred sentiment of guests through feedback left in app reviews, access auto-generated segments derived from guest loyalty behavior patterns, and increase guest engagement with marketing communications.

“We’re very proud of the work that our Punchh team has done to launch these new features,” said PAR CEO, Savneet Singh. “They are all unique in the current marketplace, and no other loyalty program in the industry offers ML features as robust and analytical as Punchh. At PAR, we always strive to maintain our leadership position in the industry aimed at improving and innovating our clients' experiences with their customers. These types of innovations are a prime example of us doing just that.”

Feedback Sentiment is the first of the three new features. Within the feedback module of the Punchh® platform, this feature provides insight into guest feedback by applying natural language processing (NLP) analysis to app reviews. The overall goal is to provide business users with an accurate sentiment toward its brand based on feedback from guests and specific consumer experiences such as customer service, food quality, ambiance, wait time and app experience.

Smart Segments is a feature within the segment builder module of the Punchh® platform that provides templated segments based on pre-defined categories of guest loyalty behavior, measured through industry-specific combinations of visit recency, visit frequency, monetary spend and more. The goal of this feature is to provide pre-generated segments that are immediately relevant to best-practice marketing strategies used in restaurants and c-stores to reduce the overhead of manually defined guest segmentation.

Send Time Optimization is the third new ML feature now offered through Punchh. In typical marketing automation tools, brands must schedule a specific time for most marketing messaging to be broadcasted out to the targeted user base. Campaign Send Time Optimization helps marketers increase guest engagement with email and push notifications by personalizing the send time of the message through automated analysis of past interaction data.

More than 200 global enterprise brands, including Yum! Brands (NYSE: YUM), Fazoli’s, TGI Friday’s, and Casey’s (NASDAQ: CASY) rely on Punchh to grow revenue by building customer relationships. To learn more about the Punchh Loyalty Offers and Engagement Platform, visit partech.com.

About PAR Technology

For more than 40 years, PAR Technology Corporation’s (NYSE Symbol: PAR) cutting-edge products and services have helped bold and passionate restaurant brands build lasting guest relationships. We are the partner enterprise restaurants rely on when they need to serve amazing moments from open to close, during the most hectic rush hours, and when the world forces them to adapt and overcome. More than 100,000 restaurants in more than 110 countries use PAR’s restaurant point-of-sale, loyalty and back-office software solutions as well as industry leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, Twitter, Facebook, and Instagram.

Contacts

Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms Of Service.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.