Over a third of Black Friday sales aren't really discounts, study finds: 'There's some trickery happening'

WalletHub data indicate 36% of Black Friday items showed no savings versus prices from Oct. 27–Nov. 17, while discounted items averaged a 24% markdown, highlighting frequent retailer price fluctuations and repackaging of offers. Analysts advise systematic price-history checks (e.g., CamelCamelCamel, Honey), careful model-number verification and awareness of category seasonality (winter apparel discounts after Christmas, furniture deeper on Presidents Day), which has implications for promotional strategy, inventory timing and consumer spend patterns.

Analysis

Market structure: Large digitally-native platforms (AMZN) and payment/BNPL providers (PYPL, MA) are the primary beneficiaries of promotional noise because they convert traffic into ad/fulfillment revenue and absorb returns at scale. Mid‑market and category specialists (department stores, non-digital furniture/brand retailers) face margin compression and inventory risk as 36% of Black Friday items show no net discount — a signal retailers are using promotions tactically rather than to clear persistent demand shortfalls. On pricing power, data-rich platforms will increasingly dictate promotional cadence, pushing smaller retailers into deeper, more frequent markdowns to compete.

Risk assessment: Tail risks include FTC or state-level enforcement on deceptive “sale” advertising and class-action suits, which could force heavier markdowns or fines (earnings hit >5% for exposed chains), and a larger-than-expected returns/logistics cost shock that squeezes Q4 gross margins. Time horizons: immediate (days) — intraday traffic and ad RPMs; short (weeks–months) — Q4 comps and guidance revisions; long (1–3 years) — structural shift to dynamic pricing and platform ad monetization. Hidden dependencies: BNPL provider delinquencies and elevated inventory days for apparel/furniture are second-order drivers of revisions; catalysts include CPI/retail sales prints and major retailer pre-announcements.

Trade implications: Tactical longs — overweight AMZN (2–3% portfolio weight) and PYPL (1–2%) to capture ad/BNPL upside and payment flow; target 12‑month ATR upside 15–25%, trim on >10% run or on decelerating ad RPMs. Tactical shorts — buy put spreads on KSS and M (Mar 2026 expiry) sized 0.5–1% each to express margin risk from post‑Christmas markdowns and inventory write-downs; pair trade = long AMZN / short KSS (1.5% / 1%) to isolate platform vs. brick‑and‑mortar exposure. Options: sell short-dated covered calls on AMZN after entry to fund cost basis; buy cheap puts (debit spreads) on department stores into January guidance season.

Contrarian angles: Consensus underestimates how promotional opacity can lengthen the purchase cycle and shift value to platforms that sell price transparency tools and advertising; that favors AMZN and PYPL more than headline retail sales imply. The market may have already overshot on small/mid cap retail distress — certain off‑price chains (ROST) with low inventory days could be mispriced; monitor FTC rulemaking on advertising and retailer inventory days; a regulatory clampdown within 3–6 months would compress valuations for exposed chains and re‑rate platform multiples higher.

Key Decisions for Investors

• Establish a 2–3% long position in AMZN to capture holiday traffic, ad RPM upside and fulfillment leverage; trim on a >10% rally or if Q4 ad growth prints <+20% YoY (monitor ad RPM and active buyers weekly).
• Initiate a 1–2% long position in PYPL to play Honey/Bnpl monetization and higher transaction share; set stop-loss if TPV growth decelerates below +8% QoQ or guidance is cut in next earnings release.
• Purchase Mar 2026 put spreads on KSS and M (allocate 0.5–1% notional each) to express margin and inventory markdown risk into post‑holiday season; target asymmetric payoff if either retailer cuts guidance >3% or reports inventory days +10% YoY.
• Implement a pairs trade: long AMZN (1.5%) / short KSS (1%) to isolate platform advertisement/fulfillment strength versus mall retailer weakness; rebalance after Q4 earnings and close if the spread tightens by >50% or if AMZN shares fall >12%.