Breaking: Restaurant Sales Surrounding Lucas Oil Stadium Increase [+18.0%] During NCAA Final Four Tournament, Based on Data from the APT Index
WASHINGTON, D.C. (PRWEB) April 20, 2015 -- Applied Predictive Technologies (APT) today announced that the APT Index of restaurant sales increased [+18.0%] in the area surrounding Indianapolis’ Lucas Oil Stadium during the NCAA Final Four basketball tournament, as compared to the same period last year. More broadly, the Indianapolis metro area* saw a [+7.5%] increase in restaurant sales during the tournament, according to the APT Index of restaurant sales. Both increases were greater than national restaurant sales comps for the period, which were up [+3.6%] over last year, as reported by the APT Index.
Patrick O’Reilly, APT President & COO, said, “The APT Index is a powerful application to help local entities understand the economic benefit of hosting an event. By aggregating sales data directly from sales registers at locations near Lucas Oil Stadium and in the Indianapolis metro area, we’re seeing that restaurants saw a substantial increase in spending starting on Wednesday before the tournament, all the way through Monday, the final game. I’m also thrilled that my alma mater, Duke, won the tournament this year.”
NCAA Final Four Restaurant Sales – by APT Index numbers:
Indianapolis Sales vs. National Average**
• Area around Lucas Oil Stadium: APT Index restaurant sales increased [+18.0%]
• Indianapolis Metro Area*: APT Index restaurant sales increased [+7.5%]
• Nationally: APT Index restaurant sales increased [+3.6%] during the period
Sales Comps Around Lucas Oil Stadium by Day***
• Wednesday, April 1st: APT Index restaurant sales increased [+11.3%]
• Thursday, April 2nd: APT Index restaurant sales increased [+15.0%]
• Friday, April 3rd: APT Index restaurant sales increased [+22.4%]
• Saturday, April 4th: APT Index restaurant sales increased [+13.3%]
• Sunday, April 5th: APT Index restaurant sales increased [+16.3%]
• Monday, April 6th: APT Index restaurant sales increased [+25.3%]
The APT Index aggregates data from sales registers at over 100,000 stores and restaurants across the U.S. to show how year-over-year performance changes for same-store sales in the physical channel. Unlike other sources, the APT Index is based on actual sales data, allowing APT to make statistically significant observations about sales. As a result, we believe the APT Index provides the most definitive, accurate, and geographically-targeted analysis of sales available.
For more information, visit: http://www.predictivetechnologies.com.
*The Indianapolis metro area refers to the Indianapolis-Carmel-Anderson, IN Core Cased Statistical Area (CBSA) from the US Census.
**All NCAA Final Four tournament sales comps figures are a comparison of Thursday through Monday of the tournament weekend for 2015 versus 2014 (4/2/2015-4/6/2015 compared to 4/3/2014-4/7/2014), adjusted for consistent weekdays.
***All day-by-day sales comps are a comparison of each date in 2015 to the same day of the week in 2014.
About APT
APT is a leading cloud-based analytics software company that enables organizations to rapidly and precisely measure cause-and-effect relationships between business initiatives and outcomes to generate economic value. Our intuitive and proprietary Test & Learn® software utilizes sophisticated algorithms to analyze large amounts of data, enabling business leaders to conduct experiments and allowing them to make optimal decisions and implement business initiatives at scale. We also offer products that support decision-making for specific business needs including transaction analysis, space planning, category management and location selection. APT’s client portfolio features some of the world’s best known brands, including Walmart, Starbucks, Coca-Cola, Victoria’s Secret, American Family, Hilton Hotels, SUBWAY, TD Bank, T-Mobile, and others. APT has offices in Washington, D.C., San Francisco, London, Bentonville, Taipei, Tokyo, and Sydney. Visit http://www.predictivetechnologies.com to learn more.
Cathy Baker, Applied Predictive Technologies, http://www.predictivetechnologies.com, +1 703.875.7748, [email protected]
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