What’s the Impact of Your Promotions?

It’s the little details that are vital. Little things make big things happen. – John Wooden

As a retailer, how important are promotions to your business?

Whenever we engage with a new retail client, this is one of the first questions we ask. Promotions – particularly short term price promotions – can have a profound impact on the supply chain (think about trying to shove a basketball through a garden hose) and pretty much always requires some significant thought around processes to plan and execute them properly.

More often than not, we’ll get an answer along the lines of “We do 30% of our business on promotion.”

How do they come up with this number?

Virtually all modern point-of-sale systems will flag a sale as promotional when it is being transacted, which makes things pretty simple: Sum up all of your sales where a promotional code has been affixed by the POS system, divide it by your total sales for the same time period and voila – you get a percentage you can recite to anyone who asks.

But does that actually mean “you do 30% of your business on promotion” or does it just mean that 30% of the sales you transact have a promotion identifier applied by the POS system?

If the overall goal of promotions is to drive additional sales and traffic, you can’t really measure them against that goal unless you know (or can reasonably estimate) a number of things, beyond just the sales that were recorded: 

How many customers were going to buy promotional items at full price that week anyhow?

  • How many customers were going to buy promotional items at full price in future weeks but purchased decided to purchase earlier and/or in larger quantities to take advantage of the promotional price?
  • How many customers were going to buy a different brand at full price, but switched to the brand that was on sale?
  • How many customers were going to pay full price for a different brand, but switched to a promotional item instead?
  • How many sales did you miss because a number of stores ran out of stock before the promotion ended?
  • Etc.

The specific impact of each of these consumer behaviours can vary item by item and store by store. Even worse, none of this information is stored in your POS system (or anywhere else), so if that’s all you have to work with, it’s really tough to understand the true impact of promotions on your business.

But what if you had a process and a system at item/store level that could:

  • Identify promotions and other events in your sales history; and
  • Estimate and isolate the incremental impact of those events for the purpose of developing a baseline forecast?

This would give you a view – for every item at every store – of what your sales would have been in each week that was impacted by a promotion:

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The methods for calculating “sales that would have been” will differ, but this type of sales history cleansing/segmentation is standard functionality for virtually all forecasting systems. Putting aside the “how”, the “what” gives you what you need to better estimate promotional impact:

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AI-generated content may be incorrect.

So now in addition to knowing that you sold 31 units at the promotional price, you also know:

  • The actual uplift in sales during the promotion week was 22 units – in other words, had the promotion not happened, you would have still sold 9 units at regular price that week.
  • This store ran out of stock 5 days into the promotion. Had that not happened the actual sales could have been 40 units.
  • Because of customer hoarding behaviour (or perhaps the stockout mentioned above persisted into the next week or two), your regular price sales for the next few weeks after the promotion declined by 11 additional units.
  • When a competing item was on promotion a few weeks later, this item was cannibalized to the tune of about 15 units.

This is the story for one particular item at one particular store and in sales units only – and that’s the whole point. When you plan in this way at the most granular level, you can gain insights at every level above it that can help you with planning future promotions, by understanding:

  • What was our true incremental sales gain from promotions?
  • Was our incremental sales gain constrained due to out-of-stocks during promotional periods? How do we factor this into our forecasts and stocking plans for future promotions?
  • How much did we sacrifice in regular price sales and what was the true incremental profit gain from our promotional activity?
  • Does the incremental profit gain reasonably offset the additional costs of promoting items (advertising, signage, store labour, logistics costs, etc.)?

Knowing that promotions are key to your business is one thing. But knowing their true impacts and tradeoffs to sales and profitability can really help you make better decisions that will squeeze maximum value from your promotional activity.

The Point of No Return

 

Events in the past may be roughly divided into those which probably never happened and those which do not matter. – William Ralph Inge (1860-1954)

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Tedious. Banal. Tiresome.

These are all worthy adjectives to describe this topic.

So why am I even discussing it?

Because, for some reason I’m unable to explain, the question of how to deal with saleable merchandise returns in the sales forecasting process often seems to take on the same gravity as a discussion of Roe v. Wade or the existence of intelligent extraterrestrial life.

Point of sale data, imperfect as it is, is really the only information we have to build an historical proxy of customer demand. However, the POS data contains both sales and merchandise returns, so the existential question becomes: Do we build our history using gross sales or net sales?

The main argument on the ‘gross sales’ side of the debate is that a return is an unpredictable inventory event, not a true indicator of ‘negative demand’.

On the ‘net sales’ side, the main argument is that constructing a forecast using gross sales data overstates demand and will ultimately lead to excess inventory.

So which is correct?

Gross sales and here’s why: Demand has two dimensions – quantity and time.

Once a day has gone into the past, whatever happened, happened. Although most retailers have transaction ID numbers on receipts that allow for returns to be associated with the original purchase, we must assume that the customer intended to keep the item on the day it was purchased.

The fact that there was negative demand a few days (or weeks) later doesn’t change the fact that there was positive demand on the day of the original purchase.

Whenever I’m at a client who starts thinking about this too hard, I like to use the following example:

Suppose that you know with 100% certainty that you will sell 10 units of Product X on a particular day. Further suppose that you know with 100% certainty that 4 units of Product X will be returned in a saleable state on that same day.

You don’t know exactly when the sales will happen throughout the day, nor do you know exactly when the returns will happen. At the beginning of that day, what is the minimum number of units of Product X you would want to have on the shelf?

If your answer is 10 units, then that means you want to plan with gross sales.

If your answer is less than 10 units, then that means you’re not very serious about customer service.