Shoppertrak traffic data analytics predicts five busiest days before new year
Johnson Controls announced that Sensormatic Solutions, its global retail solutions portfolio, has released the annual ShopperTrak predictions of the top five busiest UK shopper traffic days for peak trading 2019. With more than 1.5m data collection devices in the retail marketplace, the ShopperTrak brand captures 40bn shopper visits each year.
Top five predicted UK busiest shopping days:
- 21 Dec 2019 – Super Saturday (last Saturday before Christmas)
- 30 Nov 2019 – Saturday of Black Friday weekend
- 14 Dec 2019 – 2nd last Saturday before Christmas
- 7 Dec 2019 – First Saturday in December
- 27 Dec 2019 – Day after Boxing Day
Super Saturday (21 December), the last Saturday trading day before Christmas, is once again positioned to be the UK’s busiest shopping day of the festive period on the High Street, according to ShopperTrak analysis. Last year, Super Saturday represented a £1.4bn sales opportunity for UK retailers and saw footfall on the High Street surge by 45 per cent on the daily average.
Black Friday (29 November) itself doesn’t rank in the top five busiest days, but 30 November (Saturday after Black Friday) is expected to be the second busiest shopping day of the entire Christmas period, demonstrating the continued importance of the discount day in driving in-store footfall and building momentum into the peak season.
Nick Pompa, Global General Manager at ShopperTrak, commented: “The top shopping days of Christmas represent a key sales opportunity for UK retailers, and it’s clear that the physical store remains critical to Golden Quarter success. And this means the imperative is on retailers to prioritise in-store customer engagement during this critical trading period as an effective way to drive sales, customer retention and brand sentiment.
“This festive time of year typically means more action and opportunity for shrink, as a result of high shopping volume. Traffic insights can and should be used to help better prepare loss prevention staff to decrease shrink in key categories and high-end items, from shoplifting and organised retail crime (ORC).”
