In March of last year, P.F. Chang’s overhauled its entire business model in a matter of days as statewide lockdowns went into effect across the country. On-premises dining, which had previously accounted for 80% of the brand’s business, evaporated overnight.
In less than six months, the brand launched a new online ordering front-end, a new table management system and reservations engine, major upgrades to the mobile app built by Paytronix, and new contactless technology at the table.
The result: takeout business doubled in 2020, and delivery business more than tripled compared to 2019. The brand’s loyalty database, powered by Paytronix, grew by 350,000 guests last year. […]
At its core, artificial intelligence-driven marketing aims to communicate with guests on such a personal level that it’s as if each campaign were crafted specifically for them. Using the Paytronix AI to IA(sm) tools Advanced Segmentation and Predictive Analytics together, campaigns can be automated to target guests on an individualized and recurring basis.
Two of the most common of these one-to-one campaigns are the Missed Visit Campaign and the Visit Challenge. […]
Understanding a guest’s next move before it happens would completely change a marketer’s strategy, from simply deciding who they should email to determining how rich of an offer to send to a particular segment of guests.
Once a function of educated guessing and a bit of luck, making predictions like these is now possible through a Paytronix AI to IA feature known as Predictive Analytics.
Predictive Analytics is a series of AI-driven models built by Paytronix data scientists that make assumptions about the behavior of guests based on their previous actions. Through analyzing the billions of historical data points we’ve collected over the last 20 years, meaningful scores have been developed. […]