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Guide · Live Data

DTC Ad Benchmarks 2026

Live data from 55 DTC brands across 17 categories. Format mix, emotional drivers, CTA distribution, active ad counts. Updated automatically as new brands are added to the library.

Updated 2026-05-07 · 7 min read

Methodology

  • Sample: 55 DTC brands tracked in the GoMarble Ad Library, spanning fashion, beauty, beverage, wellness, fitness, athleisure, footwear, eyewear, supplements, home, marketplace, and pet.
  • Format mix: Computed from a 30-day sample of each brand's active ads. Classified by actual creative content, not Meta's display_format field.
  • Emotional scoring: 15 dimensions per ad on a 1-10 scale (urgency, esteem, empowerment, security, nurturance, authority, etc.).
  • CTA distribution: Aggregated from each ad's cta_type field on Meta.
  • Update cadence: Tables auto-refresh on every site build as new brands enter the library.

Top brands by active ad count

Live ads currently running on Meta. Sorted descending. The 1,000+ tier is mostly enterprise; SMB DTCs sit comfortably at 200-700 active ads.

Brand Active Total
SHEIN 1,532 23,991
Calm 840 23,974
Gymshark 1,095 23,924
AliExpress 2,645 23,736
Temu 3,482 23,074
ZARA 1,570 14,605
Charlotte Tilbury 862 12,997
Savage X Fenty 104 8,584
Alo Yoga 873 7,563
ASOS 823 5,884
Athletic Greens (AG1) 245 5,452
SKIMS 511 5,329
Huda Beauty 188 4,659
Dr. Squatch 636 3,692
Chewy 3,335 3,427

Format mix by industry

Image vs. video share by category, weighted by ad volume. Note how fashion/apparel skews image, wellness/health skews video, and beverage splits down the middle.

Industry Image % Video %
Fashion 70% 23%
Beauty 49% 51%
Beverage 72% 28%
Marketplace 81% 19%
Athleisure 79% 20%
Nutrition 74% 26%
Wellness 42% 58%
Eyewear 80% 20%
Home 45% 55%
Skincare 52% 48%
Grooming 25% 75%
Fitness 78% 22%
Health 66% 34%
Pet 72% 28%
Footwear 2% 98%
Wearable Tech 68% 32%

Top emotional drivers by category

Emotion scoring is computed on every ad in the library — a 15-dimension classification (urgency, esteem, empowerment, security, nurturance, authority, etc.) on a 1-10 scale. Patterns by category:

  • Fashion: empowerment + esteem dominate. Aspirational + identity-driven.
  • Beauty: nurturance + esteem. Softer emotional palette than fashion, with care/comfort framing.
  • Beverage: engagement + curiosity. Humor and category-disruption play heavy here, especially with brands like Liquid Death.
  • Wellness & health: security + authority. Trust signals are everything — credentials, science, testimonials.
  • Nutrition: security + empowerment + authority. Combines safety reassurance with capability framing.
  • Fitness & athleisure: empowerment + achievement. Capability and goal-attainment.
  • Skincare: security + esteem. Trust + self-image.
  • Footwear: security + nurturance + competence. Comfort and reliability framing.
  • Eyewear: esteem + curiosity. Style-driven discovery.
  • Wearable tech: curiosity + empowerment + security. Self-knowledge framing.
  • Pet: nurturance + belonging. The owner-pet bond is the central emotional driver.
  • Grooming: engagement + belonging + esteem. Humor + identity.
  • Marketplace: urgency + curiosity + engagement. Discount-driven scarcity.

CTA distribution patterns

Across all DTC categories, SHOP_NOW dominates at roughly 80% of all ads. The remaining 20% splits among LEARN_MORE, SIGN_UP, and INSTALL_MOBILE_APP. Patterns:

  • SHOP_NOW (~80%) — universal default for DTC.
  • LEARN_MORE (~15%) — creeps up to 25-30% for high-consideration purchases like mattresses (Casper, Brooklinen), supplements (Athletic Greens, Huel), and wearables (Oura Ring, Whoop).
  • SIGN_UP / GET_OFFER (~5%) — app and subscription-led products. Calm, Headspace, Noom all use SIGN_UP heavily.

If your category-leader is using LEARN_MORE more than 15% of the time, that's a signal the buying decision needs more education before purchase — and your creative should match that.

How to use these benchmarks

  1. Find your category in the format-mix table above. That's your starting reference point.
  2. Compare your current creative mix against the category. If you're 80% video in fashion (where the category averages 30-40% video), you're either overinvesting in video or you've found a wedge.
  3. Pick 3-5 category leaders from the brand-list table and study their individual breakdowns — see brand pages for per-brand format-by-product, hook patterns, and emotional drivers.
  4. Identify the angle nobody is testing. If every fashion brand uses sensory demo + transformation hooks, the empty space might be problem statement or concept reframe.
  5. Set your test plan — start with one variant matching category convention, one variant that bends it.

Get this analysis for any brand

GoMarble computes per-brand format mix, emotional drivers, hook patterns, and CTA distribution automatically. Browse 50+ DTC brand pages free, or run the analysis on your own ads.

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