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#BlackFriday hangover | Part 2: Mining the gold that comes out of Black Friday data

In Part 2 of our #BlackFriday hangover series, we ask: what should you be asking about your Black Friday performance? Well, hot on the list should be which stores drove your Black Friday performance — and which did not activate at all.
In Part 2 of our #BlackFriday hangover series, Heath Batt, new business development manager, South Africa - Smollan Technologies, looks at what you should be asking about your Black Friday performance (Image source: © 123rf )
In Part 2 of our #BlackFriday hangover series, Heath Batt, new business development manager, South Africa - Smollan Technologies, looks at what you should be asking about your Black Friday performance (Image source: © 123rf 123rf)

Not all stores in a retail estate participate equally in a promotional event. Some consistently overperform, while others record little or no uplift despite being in the promotional plan.

Understanding which stores fell into which category, and why, is one of the most useful outputs of a properly conducted Black Friday analysis.

It delivers vital information on where field resources should be deployed during the next major promotional event and which stores need a closer relationship with the store manager to ensure compliance.

Moreover, it highlights which are simply lower-demand locations for that product category where a different promotional mechanic might be more effective.

This store-level view is also what makes it possible to calculate the proportion of lost sales attributable to non-compliance versus genuine demand variation.

This is a distinction that matters significantly when planning the following year's promotional allocation.

Did Black Friday cannibalise December

The next thing to ask is: did Black Friday cannibalise your December, or add incremental volume?

NielsenIQ's data suggests that Black Friday's growing dominance in the South African retail calendar has begun to pull sales forward from December into November — with the Black Friday week, plus the week that follows it, now outpacing the key December month-end weeks that previously defined the festive season.

For some categories and brands, this means that Black Friday is increasingly a cannibalisation event rather than a growth event — generating strong November numbers at the direct expense of December.

Understanding whether your brand's Black Friday performance is genuinely incremental or simply a shift in the timing of purchases that would have happened anyway is critical.

This will help you to provide accurate full-year forecasting, honest target-setting, plus it will give a realistic view of the promotional event's true ROI. It requires a comparison of daily sales data across both periods, adjusted for baseline demand — the kind of analysis that is straightforward when the underlying data is available, and impossible when it is not.

What to set up now before Black Friday arrives

The suppliers who will conduct the most useful Black Friday analysis in December are the ones who are making specific decisions about data capture right now.

There are three things worth getting in place before the promotional period begins.

  1. Ensure that daily store-level data on sales and stock is being tracked and accessible throughout the event, not just as a post-event download.

    The ability to see, on day two of Black Friday, which stores have already hit critical stock levels for a promoted SKU is what makes a correction possible — before the loss compounds across the remaining days of the promotion.

  2. You need to define what a successful Black Friday looks like at the store and SKU level before the event, not after it.

    Setting a baseline, namely, the expected rate of sale for each promoted SKU, at each store, adjusted for the day of the week and the week of the month is what makes it possible to calculate true uplift, rather than simply comparing total November sales to the previous year.

    Without a baseline, promotional performance simply cannot be interpreted.

  3. Agree in advance on the questions the post-event analysis needs to answer: by store; product; region; and by retailer.

    The analysis that is performed after Black Friday tends to reflect whatever the reporting infrastructure makes easy, rather than whatever would actually be most useful.

    Deciding in advance what you need to know shapes the data you make sure you are capturing.

Suppliers who learn the most from Black Friday are not necessarily the ones who execute it best. They are the ones who were set up to watch it closely enough to understand exactly what happened.

Another kind of hangover

Remember, the Black Friday hangover is optional! This phrase usually refers to the post-event slump in December sales — the consequence of demand being pulled forward into November.

But there is another kind of hangover that many suppliers experience: the one that comes from having committed significant budget and field resources to a major promotional event only to emerge from it with no clear picture of what actually happened, why it happened, or what to do differently next year.

Black Friday hangover is a data problem.

It is one that starts well before the event itself. The suppliers who will finish this year's event with a clear, actionable view of their performance- by store, SKU and day are the ones who are building that capability now.

The data will be generated regardless. The question is whether it will be captured, structured, and acted upon in time to make a difference.

Black Friday is, above all, a dress rehearsal for the following year.

The suppliers who treat it that way and approach it as a source of commercial intelligence rather than just a revenue opportunity are the ones who compound their advantage year on year.

The ones who do not are the ones who find themselves, in the months before Black Friday next year, planning another major promotional event without the data they need from the last one to get this one right.

About Heath Batt

New Business Development Manager South Africa at Smollan Technologies. Heath Batt’s decade-long career at DataOrbis/Smollan Technologies has spanned FMCG Data, focusing on ePOS Data, Data Analytics, and relationship building. Strategic thinking and commercial acumen, augmented by a passion for connecting people and brands through innovative, data-driven opportunities, have fuelled his results-driven approach to business.
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