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As UK Enters Second Lockdown, New Patterns of Behavior Emerge

Source: https://www.advan.us/blog.php?id=20201119_uk_industries

With the UK now in its second week of nationwide lock-down we are starting to see some familiar patterns of behavior based on analysis of foot traffic data. But there are also some significant differences compared to the first wave.

We looked at 5 indices for key sectors. All of our comparisons are against the average footfall in January 2020, as a pre-COVID benchmark.

In April, when the majority of businesses were closed, foot traffic fell by 80% or more across almost all sectors, with the exception of those in our food stores index. Traffic at supermarkets fell by just 35% in April and soon recovered. During September it was flat and in October up 4% compared to the start of the year.

Traffic to restaurants, clothing & accessories retailers and general merchandisers also saw some respite during the summer months as lock-down eased and people embraced more freedom to shop and travel. Visitors to these merchants was around 10 - 15% below January during the August - October time frame.

Furniture stores have been a clear winner during the pandemic, as people spruced up their living space and created home offices. From a drop in visitors of 100% in April and May the sector rebounded, with foot traffic in October 24% above January.

In November, however, as we would expect given the new lockdown rules, visitor numbers have plummeted again across the board. Yet, if we compare the fall in traffic this month with the trends back in April, we notice markedly different attitudes towards the restrictions.

Our clothing and accessories index is down 51% in November to date, compared to a fall of 87% in April. General merchandise is down 38%, compared to 69% in April. Restaurants are down 47%, compared to 81% in April.

There are likely a couple of important things at play. First, the restrictions are not as stringent as they were during the first lock-down. Secondly, after 8 months of living with the virus, retailers and consumers have adapted their services and behavior to enable a better balance between keeping populations safe and enabling businesses to operate and survive.

To learn more about the data behind this article and what Advan has to offer, visit https://www.advan.us/.

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ForwardKeys is one of the leading travel analytics firms that provides investment firms with alternative and predictive data on the travel industry. Data is offered both on the demand and the offer-side of the aviation market.

Actual Air Reservations is an aggregation of flight bookings made via the Global Distribution Systems. Exclusive agreements make that global travel data is available, including regions that are generally difficult to track. This data contains valuable insights into the profile, behaviour, and impact of events on past, present and future air travellers.

Seat Capacity provides insights into the scheduled flights from 99% of global commercial airlines.

Financial institutions use this data for artificial intelligence and predictive models to forecast the performances of businesses. Combined, the datasets can provide insights into the financial health of businesses operating in the travel and tourism industry. This list contains companies like airlines, airplane leasing companies, oil companies, hotels and travel agencies.

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Data is changing the speed of business. Investors, Corporations, and Governments are buying new, differentiated data to gain visibility make better decisions. Don't fall behind. Let us help.

DATA PROVIDER SPOTLIGHT

ForwardKeys

ForwardKeys is one of the leading travel analytics firms that provides investment firms with alternative and predictive data on the travel industry. Data is offered both on the demand and the offer-side of the aviation market.

Actual Air Reservations is an aggregation of flight bookings made via the Global Distribution Systems. Exclusive agreements make that global travel data is available, including regions that are generally difficult to track. This data contains valuable insights into the profile, behaviour, and impact of events on past, present and future air travellers.

Seat Capacity provides insights into the scheduled flights from 99% of global commercial airlines.

Financial institutions use this data for artificial intelligence and predictive models to forecast the performances of businesses. Combined, the datasets can provide insights into the financial health of businesses operating in the travel and tourism industry. This list contains companies like airlines, airplane leasing companies, oil companies, hotels and travel agencies.