]
Is Your BFCM Offer Costing You?
Your BFCM offer shouldn’t be left to guesswork. Set it too high, and you’ll eat into your margins. Set it too low, and you won’t give shoppers enough reason to buy.
Here’s what was seen across more than 800 brands, and how you can test to find the optimal offer for you.
There Is Such a Thing as Too Steep a Discount
There’s a point where you are giving away additional margin without reclaiming it in revenue. Last year, we saw that happen between 10% and 15%.
Brands that discounted past that mark saw similar lifts vs their baseline. Said another way, there was little to no benefit of discounting beyond that rate.
853 brands. Discount depth is the change in what a customer actually paid per unit versus that brand’s own baseline, across both list price and discount codes. Each brand is scored against its own typical pre-holiday day, meaning its median daily revenue from 1 July to 31 October 2025, so +200% means each day of the weekend earned three typical days of revenue. Revenue lift, not margin, so the ceiling is where the revenue benefit stops improving rather than the profit-optimal depth. Outcomes inside every band vary more than these medians differ. Attributed to Intelligems (Data Partner).
The Most Common Discount We See Is 10–15% Off
Here’s what brands set their discounts to last holiday season. The median brand had a discount of 10.1% with the middle half of brands having a discount between 3.2% and 15.7%.
Intelligems BFCM 2025 platform data. Lift is core-BFCM weekend revenue against each brand’s own median daily revenue, 1 July to 31 October 2025. These are period-over-period comparisons against each brand’s own baseline, not A/B tests, so they describe what brands did and how their weekend went, not what caused it. Revenue lift only, not margin. Attributed to Intelligems (Data Partner).
Test to Find the Offer That Works for the Specifics of Your Brand
There are no silver bullets when it comes to setting an offer. The charts above show medians across the entire market and are meant to form a starting hypothesis rather than give you the answer. The only way to find the optimal offer is through experimentation.
Don’t Fall Victim to These BFCM Offer Mistakes
This chapter’s frameworks and testing data were supplied by Intelligems.