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BFCM Discount Depth Benchmarks by Category

·By Matt Putra, Managing Partner ·13 min read

BFCM discount depth in 2025 ranged from about 19% off on furniture and appliances to 31% on electronics, with beauty the deepest by Salesforce order-level rate and most volatile near 35 to 40% in 2024 Cyber Week data. But your headline banner is not your margin hit. Effective discount rate, total discount dollars divided by gross revenue, is what actually lands.

BFCM Discount Depth Benchmarks by Category

Key Takeaways

  • Electronics is the deepest-discounted BFCM category, beauty the most volatile. Adobe measured 2024 holiday peaks at 30.1% off for electronics, 23.2% apparel, 19% furniture. Salesforce put global makeup at 40%, the single deepest vertical in their panel.
  • Your headline discount and your margin hit are not the same number. A 20% code claimed by 35% of orders is an effective rate of 7%, not 20%. DTC health and beauty's market-average effective rate is 6.8%; top promotional brands hit 16.8%.
  • Average BFCM depth peaked in 2024 and is pulling back. The mean across the Klaviyo panel fell from 29.1% in 2024 to 26.2% in 2025, and the brands that discounted least grew revenue fastest, up 14% year over year.
  • Black November flattens the peak. Full-season (Nov 1 to Dec 31) average discount was 23% US versus 28% for Cyber Week alone. Spreading deals across the month lowers per-day intensity but raises the season-wide load on your margin.
  • Discount depth sets the floor for future expectations. Only 21.8% of new BFCM customers made a repeat purchase and 31% disengaged entirely. The minimum effective discount that still hits your conversion target is usually the right ceiling, not the category benchmark.

If you run a direct-to-consumer brand, the discount you put on your Black Friday Cyber Monday (BFCM) banner does more than move one weekend of revenue. It sets the margin floor for your entire Q4 and trains every future customer on what your product is "really" worth. Most operators anchor to whatever they ran last year, or try to match a competitor's homepage, without ever checking the actual category norm. This benchmark fixes that. Below is what brands actually run by vertical, why it matters that your headline depth is not your real margin hit, and what to watch as the promo window keeps stretching across all of November in 2026.

The category benchmark: what brands actually run by vertical

Two of the most-cited datasets measure BFCM discounting in completely different ways, and the gap between them is the first thing to understand before you set your own number.

Adobe Analytics measures the peak discount off list price for each category, indexed across roughly a trillion US online transactions. It is a ceiling: the deepest a typical SKU in that category gets marked down at its lowest point. Salesforce Commerce Cloud measures the average order-level discount across every order during Cyber Week, blended with full-price orders. It is closer to what the average shopper actually pays.

For 2024, Adobe's peaks ran from 30.1% off on electronics down to 19% on furniture, with apparel at 23.2%, toys at 28%, and TVs at 24.2%. Salesforce's order-level US averages told a different story for the same season: 28% across all verticals, 35% for health and beauty, 37% for general apparel, and 23% for home, decor, and furniture. Globally, makeup hit 40%, the single deepest vertical in their panel.

Neither number is wrong. Adobe's 23.2% apparel and Salesforce's 37% apparel are both real, they just answer different questions. When I talk to founders setting their first deliberate BFCM plan, the most useful thing is to pick the measure that matches your decision: use Adobe-style peak depth to set your deepest hero SKU, and Salesforce-style order-level rate to forecast what the blended weekend does to your books.

Headline depth versus effective discount rate

Here is the number most operators never calculate, and the one that actually lands on the P&L. Your effective discount rate is total discount dollars divided by gross revenue, across every order including the full-price ones. It is almost never equal to your banner.

Work the math. If you run a 20% off sitewide code but only 35% of orders actually claim it, your effective discount rate is roughly 7%, not 20%. The other 65% of orders paid full freight. That is why the year-round effective rate for DTC health and beauty brands sits at 6.8% as a market average, with the heaviest promoters reaching 16.8%, even though their banners scream 30 and 40% off.

The pattern we see again and again is founders panicking over a competitor's "40% off" homepage when that competitor's effective rate, blended across the season, is probably half that. One apparel founder we worked with capped headline depth at 20% on principle, the way a lot of thin-margin operators do: "I like that you don't go over 20%. The margins are already tight. As much as we would want to, we just can't go deeper." Their effective rate that November came in under 9%. The banner number is theater; the effective rate is the bill.

VerticalAdobe 2024 peak (off list)Salesforce 2024 Cyber Week US (order avg)Salesforce 2024 full season USYear-round DTC effective rate
Electronics30.1%n/an/a~5-8% (est.)
Apparel23.2%37%33%~8-12% (est.)
Beauty / makeupn/a35% US H&B; 40% global makeup29% US H&B6.8% mkt avg / 16.8% top brands
Home / furniture19%23%18%not published
Toys28%n/an/anot published
Sporting goods19.5%n/an/anot published
Source: Adobe Analytics holiday recap (Jan 2025); Salesforce Cyber Week (Dec 2024) and full-season data (Jan 2025); Eightx DTC discount benchmarks 2026. Adobe measures peak off list price per SKU; Salesforce measures blended order-level average. The two are not directly comparable.

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The trend from 2022 to 2025: depth is softening

The multi-year direction is gentle but real: average BFCM discount depth peaked around 2023 to 2024 and has started pulling back. Across the Klaviyo brand panel, the mean BFCM discount fell from roughly 30% in 2023 to 29.1% in 2024 to 26.2% in 2025, a drop of about 10% year over year in that last step.

The more interesting finding underneath the average: the brands that discounted the least grew revenue the fastest in 2025, up 14% year over year. And in 2024 the best-converting discount bands were 10 to 15% and 20 to 25%, not 30% and up. Deeper did not convert better. Salesforce confirms the broad softening too, with US Cyber Week slipping from 29% to 28% and global from 27% to 26%.

But the average hides the one vertical bucking the trend. US health and beauty rose from 34% to 35%, and global makeup climbed to 40%. If you sell beauty or supplements, the category is getting more promotional while everyone else pulls back, which means matching last year may not be enough and matching the category may be too much. History does not predict your vertical here. You have to read your own segment.

The Black November effect: stretching the window flattens the peak

The single biggest structural shift is that "Black Friday" is no longer a day or even a weekend. It is most of November. As more of the month becomes promotional, the per-day intensity of any single sale weakens even as the season-wide discount load grows.

The data makes this concrete. Salesforce's full-season average (Nov 1 to Dec 31) discount was 23% US and 22% globally, versus 28% and 26% for the five-day Cyber Week window alone. Adobe counted 25 days above $4 billion in daily online spend in 2025, up from 18 in 2024. Spending, and discounting, are smearing across the calendar.

For planning, that argues for a tiered structure rather than one flat sitewide number: something like 10 to 20% in early November, 20 to 25% in the pre-Black-Friday week, and your deepest 28 to 35% reserved for the Cyber 5. "Planning your best Black Friday ever starts now," is the line we repeat to operators in summer, because the brands that win the stretched window decided their tiers months out instead of reacting to competitors in real time.

The double squeeze: discount depth plus CPM inflation

Discount depth never hits your margin in isolation. It collides with the cost of the traffic you are discounting to. During BFCM 2024, Meta CPMs hit $20.33, up 17.8% year over year, with cost per acquisition around $31.38. You are paying peak prices for the click and then handing that same customer 20 to 40% off the order.

Stack those two and the math gets ugly fast. A brand running a healthy 22% contribution margin in a normal month can watch per-order contribution margin compress 40 to 60% during peak week, into the single digits or negative, once inflated acquisition cost and deep discounting both land on the same order. This is the part operators underestimate when they set headline depth in isolation.

We see the aftermath every December. One operator described their post-BFCM debrief simply: "IGP on e-commerce dropped two points in November." Record top-line revenue, quietly eroding margin, because both paid CPMs and discount depth spiked at once. As one founder put it about seven and eight-figure brands, the real risk is that "your biggest sales day becomes a cash flow nightmare." The fix is not to skip BFCM. It is to model the discount and the CPM together before you commit to a number, the same way you would in any contribution margin and bundle pricing decision.

Your BFCM banner is theater. Your effective discount rate, the total discount dollars divided by gross revenue, is the bill, and it arrives stapled to peak-season CPMs. Set the headline number deliberately, model it against your real contribution margin, and remember you are not pricing one weekend. You are setting the anchor every future order gets compared against.

Finding your minimum effective discount

The discipline that separates the brands growing through a softening BFCM from the ones training customers to wait is the minimum effective discount, or MED: the smallest offer that still hits your conversion target, used as your ceiling rather than the category benchmark.

The conversion data supports going shallower than instinct says. Klaviyo's best-converting bands in 2024 were 10 to 15% and 20 to 25%, with low-AOV brands peaking around 20 to 29% and mid-to-high-AOV brands around 30 to 39%. Beyond those points you are giving away margin for conversions you would have won anyway.

Then there is the customer-training cost, which is the real reason to resist matching the deepest competitor. Klaviyo cohort data found only 21.8% of new BFCM customers made a repeat purchase, while 31% disengaged entirely after their first order. Customers who buy at a deep BF price, as one founder observed, "obviously take advantage of the nice price because after Black Friday and Cyber Monday you can't get that price again," and they expect the same deal next year. A principled line we hear from healthier-margin operators is blunt: "My concern is that we never discount that deep. Ever, ever." If you sell something where retention is the whole model, BFCM is a date on the calendar, not a discount rate. Run the smallest number that clears your conversion bar, and protect the anchor.

Related reading. For where the discounting shows up in net revenue, see our gross-to-net revenue gap benchmarks and the holiday return rate spike benchmarks. For how we plan promo season with brands, see fractional CFO for ecommerce.

Sources and methodology

Adobe Analytics holiday season recaps (2023-2025). Category peak-discount figures (electronics 30.1%, apparel 23.2%, furniture 19%, and the rest) are "peak discount off listed price" per category, indexed across roughly one trillion US online transactions for Nov 1 to Dec 31. This is a ceiling per SKU, not an average across all orders, so most customers in a category do not receive the peak. See the Adobe full-season recap and the Adobe Cyber Monday 2025 record release.

Salesforce Commerce Cloud Cyber Week and full-season data (2023-2024). Order-level average discount rates (US 28% Cyber Week, 23% full season; H&B 35%; global makeup 40%) are blended across all orders including full-price ones, indexed on 1.6 trillion page views and 1.5 billion shoppers. This is why Salesforce's apparel number (37%) is higher than Adobe's (23.2%): different methodology, not a data conflict. Primary releases: Salesforce Cyber Week 2024 and 2024 full-season holiday data.

Klaviyo BFCM reports (2023-2025). Panel mean discount depth (29.1% in 2024, 26.2% in 2025), best-converting bands, and the new-customer repeat-rate cohort data (21.8% repeat, 31% disengaged) are drawn from the Klaviyo 2025 holiday shopping trends report and prior-year newsroom releases. Figures reflect Klaviyo's brand panel, which skews toward email and SMS-driven DTC brands.

Effective discount rate definition and DTC benchmarks. The formula (total discount dollars divided by gross revenue) and vertical figures (health and beauty 6.8% market average, 16.8% top promoters) come from the Eightx DTC discount benchmark. Effective rates are full-year figures; the BFCM-window effective rate runs higher but still well below headline depth.

CPM and contribution-margin figures. Meta CPM ($20.33, +17.8% YoY) and CPA ($31.38) reflect BFCM 2024 paid-media benchmarks; the 40 to 60% per-order contribution-margin compression is modeled from blended portfolio economics, not a single published series. Operator quotes are anonymized from founder conversations and are paraphrased to protect identity.

Limitations. No clean public category benchmark exists for DTC supplements or food at BFCM; use the health and beauty proxy (35% Cyber Week US) with caution, since that bucket pools beauty and wellness. The National Retail Federation publishes footfall and spend, not discount depth, so it is not cited here for depth figures.

Frequently asked questions

what is the average bfcm discount depth across retail categories?

It depends on how you measure it. Adobe's 2024 peak-off-list numbers run from about 19% on furniture and appliances to 30% on electronics. Salesforce's order-level Cyber Week average across all US verticals was 28%. Both are real, they just measure different things.

how deep should i discount for black friday if i sell apparel?

Apparel benchmarks sit in a wide band: Adobe put the 2024 peak-off-list at 23.2%, while Salesforce's US order-level average was 37%. Most apparel brands land a 25 to 35% headline. The right number for you is the smallest one that still hits your conversion target.

what discount works best for beauty brands during cyber week?

Beauty runs the deepest. Salesforce put US health and beauty at 35% and global makeup at 40% in 2024, the deepest vertical in their panel. But Klaviyo's best-converting bands were 10 to 15% and 20 to 25%, so deeper did not always mean better conversion.

what is the difference between headline discount and effective discount rate?

Headline depth is the number on the banner, like 30% off. Effective discount rate is total discount dollars divided by gross revenue across every order, including full-price ones. A 20% code claimed by a third of orders is an effective rate near 7%, not 20%.

how do i calculate my effective discount rate for bfcm?

Add up every discount dollar given across all orders in the window, then divide by gross revenue before discounts. That single number is what actually hits your margin. The DTC health and beauty market average is 6.8% year-round; top promotional brands hit 16.8%.

has bfcm discount depth gone up or down since 2023?

Down, modestly. The Klaviyo panel mean fell from about 30% in 2023 to 29.1% in 2024 to 26.2% in 2025. Salesforce US Cyber Week dropped a point to 28%. Beauty and makeup are the exception, still rising while most categories soften.

why do my bfcm customers never come back at full price?

Because a deep annual discount trains them to wait for it. Klaviyo cohort data found only 21.8% of new BFCM customers made a repeat purchase and 31% disengaged after the first order. If you anchor them at 40% off, full price feels like a price increase.

About the Author

Matt Putra, Managing Partner

Matt is the Managing Partner of Eightx, a fractional and interim CFO firm managing $650M+ in revenue across 35+ ecommerce, DTC, and CPG portfolio brands across the US, Canada, Australia, and the UK. A former PE investor with $500M+ deployed, Matt specializes in benchmark-driven financial leadership for apparel, beauty, food and beverage, and household brands.

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