Discount dependency: three years of penetration and depth
The short answer
Rising discount dependency shows up in two numbers moving together: discount penetration, the share of revenue sold on discount, and discount depth, the average discount on those sales. Track both by quarter for three years. If both climb while full-price revenue flattens, the business is buying its growth with margin.
Discount penetration and depth, worked through
Why it matters
Discount dependency rarely arrives in one decision. Each promotion looks reasonable, but together they can move a business from occasional sales to needing a discount to hit every month. Seeing the trend lets leadership reset expectations before margin erodes further.
The question to ask
Copy this into Lexi as written.
How to work it out
1. Calculate penetration. Divide revenue from discounted sales by total revenue, quarter by quarter, for three years.
2. Calculate depth. Divide total discount dollars by the pre-discount value of discounted sales for the same quarters.
3. Look at customers. Track the share of customers who buy only on discount, since a rising share means the habit is spreading through the base.
What the answer looks like
Illustrative output on sample data
Illustrative example: how Lexi answers this for a sporting goods retailer. It measures discount penetration, the share of revenue sold on discount, and average depth over three years.
- Two years ago: $180 million revenue, 30% on discount, 18% depth
- Last year: $186 million, 36%, 21% depth
- This year: $191 million, 43%, 24% depth
What the data shows
Revenue grew 6%, but full-price revenue fell from $126 million to $109 million.
What it means
All the growth came from discounted sales at deeper discounts. Customers who buy only on discount rose from 22% to 31% of the base.
What to do
Set a ceiling on discount penetration for next year and reduce depth on the most promoted categories first.
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Frequently asked questions
What is discount dependence?
Discount dependence is a business or a customer relying on discounts to keep buying. For a retailer, it shows in a rising share of revenue sold on discount and deeper average discounts. For a customer, it shows in purchases made mostly or only on promotion.
Why track penetration and depth separately?
They can move in different directions. A retailer can run fewer promotions at deeper discounts, or many shallow ones, and the margin effect differs. Tracking both shows whether dependency is spreading across more sales, getting deeper on the same sales, or both.
How do you reduce discount dependency without losing revenue?
Change it gradually and measure as you go. Cut depth before frequency, aim offers at the customers who need them, and give full-price buyers non-price reasons to return. Test each change against a holdout and track full-price revenue, which should recover as discounted revenue falls.