Leslie Wilson-Lopez recently joined the Paytronix Data Insights team from Togo’s Eateries, Inc., a fast-casual chain of restaurants with more than 230 sandwich shops across the U.S. As director of brand management at Togo’s, Leslie was responsible for cross-channel marketing initiatives, including digital loyalty and gift programs, online ordering, guest and social response, quarterly promotions, and new product introductions.
Paytronix: Why did you decide to join the team?
Wilson-Lopez: The Togo’s Rewards program was one of my favorite initiatives. I led the review process that selected Paytronix as Togo’s loyalty partner, worked closely with Paytronix as we rolled out the program, and continued to collaborate with Paytronix on day-to-day program management. Paytronix helped Togo’s understand its guests and what motivates […]
Before HuHot found Paytronix scoring, the marketing team would segment guests based upon how many visits a person had made in the past year. That old approach wasn’t perfect, as guests may have visited several times in a short period and then dropped off, so a lapsed guest could look like a frequent visitor. And a guest who may have only visited three times all year would likely be seen as a low-frequency guest, without the context to know all three of those visits took place within the past month.
HuHot uses scoring for smart, agile marketing automation that customizes Paytronix offers for light, medium and heavy user groups. Marketing can target guests with specific offers that drive their desired behavior, to produce incremental revenue. […]
It’s never wise to blindly follow someone just because they speak with authority. You expect them to be able to support their position with more than anecdotal evidence. Paytronix works overtime, gathering and segmenting customer data to inform your decisions, so you can present your campaign and promotion ideas with authority.
When you create account filters in the Paytronix Campaign Center, you can segment your customers and guests in more than 50 different dimensions. There are Activity choices that include the guest’s last activity date, their gift card expiration, the store used and much more. You can select based on Enrollment data, like date, store, or source, or filter based on Profile information like age, postal code, or anniversary date. Based on the traditional 80/20 rule, however, we suspect most of our end users are only taking advantage of a subset of what we make available. With so many options, it’s not surprising. Today there’s one dimension that we’d like you to take a closer look at—Scoring. […]