Black Friday and Christmas: plan the peak on footfall, not folklore
The most important weeks of the retail year are planned on last year's till data and this year's gut feel. Visitor data tells a different story: when the traffic actually comes, where it goes, and what your peak really looks like.
Every retailer knows the shape of the year: the long build, the November explosion, the December sprint, the January exhale. What most retailers do not know is the shape of their own peak, because the only instrument reading it is the till, and the till only sees the people who bought. The peak weeks are planned on folklore: last year’s revenue, a staffing template, and a hope that the queue forms at the same hour it did before.
The peak has changed shape, and revenue data hides it
Industry reporting tells a consistent story: the concentrated Black Friday spike is spreading into a longer Black Week, with purchases distributed across many days. Swedish trade bodies have reported e-commerce growing across the week while the single Friday softens, and shopping centre operators have seen visitor flows on the day itself decline even in years when the period as a whole held up (HUI Research reported centre footfall down around three percent one Black Friday, with the largest drops in the big cities). For a store, that shift changes everything operational: staffing one heroic Friday is the wrong answer to a demand curve that now stretches across ten days.
Your revenue can look fine while the shape underneath moves. Only visitor data shows the shape: arrivals per hour across the whole week, dwell as the floor fills, the capture rate when the street outside is at its annual maximum.
What to measure when it matters most
Three readings pay for themselves in the peak weeks. Arrival curves per hour: the difference between staffing for the day and staffing for the hour is the difference between service and abandonment at the exact moment volume peaks. Capture rate: November streets carry the year’s densest passing traffic; a window that captures even slightly better during peak weeks is worth more than in any other month. Zone flows and dwell: campaign tables and seasonal displays either pull traffic deeper into the store or create congestion at the door, and the same measurement that proves campaign lift shows which happened.
The baseline is the gift that keeps giving
The deepest value of measuring the peak is not the peak itself; it is the comparison. A continuous series turns “it felt busier than last year” into a number, per store, per hour, year over year on the same method. The January review stops being an argument about impressions and becomes a plan: which hours were understaffed, which days deserve the campaign budget, which stores converted the traffic they were given and which merely hosted it. Retail folklore resets every season. A baseline compounds.
Measurement running by early autumn gives you a clean pre-peak baseline, and Wi-Fi based counting on existing access points makes that timeline realistic. The retail metrics glossary defines every number this guide relies on.
Having the large flows we have is a challenge. We constantly strive to have as efficient a station as possible. With the help of reliable data from the new measurement system, we can better plan where different service functions or stores are to be located and how we can adapt doors or passages.
Frequently asked questions
Why measure footfall during Black Friday if the tills already show sales?
Because the till only records the people who bought. Peak-period footfall shows the whole picture: how many came, when they arrived, how long they stayed and where they went, so you can see whether a weak day was weak traffic or weak conversion, and fix the right problem before Christmas week repeats it.
Is Black Friday still one day of store traffic?
Increasingly no. Industry reporting shows the peak spreading across the whole Black Week, with buying behaviour distributed over many days rather than concentrated into one. Hour-by-hour visitor data shows exactly how your own customers spread out, which is what staffing and campaign timing should follow.
What should we compare the peak against?
Your own baseline. A continuous visitor series turns the peak into a measurable lift against normal weeks, per store and per hour, and makes year-on-year comparison honest: same metric, same method, every year. That is also what makes the January review useful rather than anecdotal.
Can we get measurement running before this season?
Yes. Wi-Fi based counting typically runs on the access points a store already operates, which makes autumn deployment realistic, and the earlier it runs, the better your baseline before the peak arrives.