Black Friday and Christmas: plan the peak on footfall data
The most important weeks of the retail year are planned on last year's till data and this year's gut feel. Visitor data shows when the traffic actually comes, where it goes and what your peak really looks like.
Every retailer knows the shape of the year: a long build, a surge in November, a December sprint and a quiet January. Most retailers do not know the shape of their own peak, because the only instrument reading it is the till, and the till only sees the people who bought. So the peak weeks are planned on folklore: last year’s revenue, a staffing template and the hope that the queue forms at the same hour as before.
The peak has changed shape, and revenue data hides it
Industry reports consistently show the concentrated Black Friday spike 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, the shift has operational consequences: staffing for one big Friday does not fit a demand curve that now stretches across ten days.
Your revenue can look fine while the pattern underneath shifts. Only visitor data shows that pattern: 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 in the peak weeks
Three readings pay for themselves in the peak weeks. Arrival curves per hour: whether you staff for the day or staff for the hour decides whether customers are served or give up at the exact moment volume peaks. Capture rate: November streets carry the year’s densest passing traffic, so 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 grows more useful every year
Most of the value of measuring the peak comes from the comparison. A continuous series turns “it felt busier than last year” into a number, per store and per hour, year over year on the same method. The January review can then be a plan instead of an argument about impressions: which hours were understaffed, which days deserve the campaign budget, and which stores converted the traffic they were given and which merely hosted it.
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. Hour-by-hour visitor data shows exactly how your own customers spread out, and staffing and campaign timing should follow that pattern.
What should we compare the peak against?
Against your own baseline. A continuous visitor series turns the peak into a measurable lift against normal weeks, per store and per hour, and keeps year-on-year comparison honest because the metric and the method stay the same every year. It also gives the January review numbers to work from.
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. The earlier it runs, the better your baseline before the peak arrives.