When it comes to driving frequency and sales via smarter fact-based decision-making, how is it RedOnion.ai helps brand leadership?
In a nutshell, by taking transaction data tied to payment data (plus weather, loyalty data, reservations, no wait list, marketing spend, brand events, email/text, etc.), we learn the purchase behavior patterns of each guest to then illuminate brand needs on a per location basis. We answer the WHY behind shifts in that guest data. You get segmented solutions around day parts, menu, revenue center, price elasticity, employee performance, etc., that are fact-based and used by every role in each department.
As a tool for franchisors, you finally have a single transparent beacon of truth that both franchisor and franchisees can use to maintain the value in the relationship. Field people have a tool that can expose the details of the operation from a thousand miles away, minimizing the need for travel.
Our client list includes brands like Fogo de Chao, Twin Peaks, Primanti Bro’s, Smokey Bones, Darden Int’l, Rock & Brews, Mi Cocina, Golden Chick, Texas Dairy Queen, Taco Villa, Rosa’s Café, Polly’s Pies, Bibibop, Boston Pizza, Charley’s Philly, Capital Grille, City BBQ & more. We cover categories from QSR to Fine Dine.
We answer the questions that have plagued the industry for decades:
*Did Suzy tried the new LTO, and did Suzy come back for it?
*Did she trade down on profit but increase her frequency?
*Did her total spend go up because with a lower price, she tried a dessert?
*Did her total spend go down because with the new LTO, she got water instead of a drink?
*Did the new menu item create incremental visits or just cannibalize the existing menu?
*Did this generate new guests and how many?
*Did this offer improve the drink incident rates?
*Did these new guests spend more or less than current ones?
*Whats the 90-day residual value of these new guests?
*Did it create a new day-part for guests that previously only dined at lunch?
*Does this campaign have sustainable results?
*Were you able to Project where this campaign would succeed versus fail?
*Did your Loyalty customers react in a similar way to non-loyalty customers?
When you stop guessing and answer these question towards location specific solution, you begin making the kind of decisions that drives frequency and top line growth.
The Data Don't Lie!