Activating the "Hidden Local"
A boutique hotel bar in East Nashville saw heavy weekend traffic from out-of-town guests, but Monday through Wednesday revenues dropped by 70%. Their traditional CRM couldn't tell the difference between a guest from Chicago and a local living two blocks away.
The TABLETURNER Fix:
By bridging POS data with local geo-fencing, the platform identified 340 locals who had previously dined on weekends. The AI generated a hyper-targeted Tuesday Happy Hour campaign exclusively for this cohort.
PMS vs. POS Divorce
A VP of F&B at a luxury lifestyle brand noticed their marketing spend was being wasted on people who would never return (hotel guests flying home). Their data was a soup of room charges and local walk-ins.
The TABLETURNER Fix:
TABLETURNER ingested the raw POS data and cross-referenced it against the hotel's PMS. It instantly purged transient hotel guests from the local marketing database, leaving a pure, clean list of 1,200 verified neighborhood regulars.