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. […]
With spring this year comes a renewed sense of hope that is a little greater than usual: the weather is warming, plants are blooming, and vaccinations are rolling out, signaling the beginning of the end of the pandemic that rocked the globe.
While the pandemic itself is likely to stretch on for a few more months at the least, consumers, eager to take advantage of the optimism afforded by the rise in vaccinations and decline in cases, have been frequenting businesses more and more.
In Massachusetts alone, restaurants have experienced a huge lift in indoor dining – up about 37% from the start of February through the end of March, according to Paytronix data. But that uptick is not coming at the expense of online sales, and it’s earlier than CEO Andrew Robbins expected. […]
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. […]