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 IAfeature 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. […]
It’s well–known and well–documented that as the relevancy of a given marketing campaign increases, so does guest engagement. For example: a vegan is more likely to respond to a message promoting the new Impossible Burger than one for cheese fries.
This is why successful segmentation is so critical. For a campaign to be as effective as possible, it needs to be targeted to the right group of guests, based on their behavior; but traditionally, segmentation tools were limited to a single factor, like visit frequency, average spend, or commonly ordered items.
While this is better than a one-size-fits-all approach, these old methods of segmentation leave marketers with a one-dimensional view of their guests and provide little insight into what various segments have in common, or where they overlap.
Now, Advanced Segmentation with artificial intelligence – part of the Paytronix AI to IA(sm) solution – is revolutionizing the way marketers segment guests by taking multiple factors into account at once. The proprietary algorithm, trained using 20 years’ worth of data collected across restaurant and convenience store segments nationwide, considers each guest’s total visits, average check size, average days between visits, and their likelihood to lapse.[…]
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.
At its core,