Indian D2C ROAS Benchmarks by Vertical — 2026 Edition

A jewelry founder running 4.2x ROAS feels behind. A snacks founder running 3.5x ROAS feels great. Both are wrong about their own performance — the jewelry founder is actually at top quartile for their vertical, and the snacks founder is below median. ROAS in isolation tells you nothing. ROAS relative to your vertical tells you everything.

This is the full 2026 Indian D2C ROAS benchmark grid — median, top-quartile, and bottom-quartile across 14 verticals. Plus the four context factors that shift ROAS expectations within each vertical.

Methodology

ROAS reported here is Meta-attributed purchase ROAS using 7-day-click + 1-day-view attribution. We use:

• Anonymized data from accounts using Bach AI across Q1-Q2 2026.

• Minimum 12 accounts per vertical to publish a cohort.

• 30-day rolling averages, excluding festival weeks for cleanliness.

• Accounts with healthy CAPI signal (EMQ above 6.5) only.

ROAS is calculated against Meta-attributed revenue. Blended ROAS (including non-Meta revenue) typically runs 30-60% higher than the numbers below.

The 14 Verticals at a Glance

Median ROAS across each vertical (Meta-attributed purchase ROAS, H1 2026):

• Beauty & skincare: 2.9x median, 4.2x top-quartile.

• Apparel — women's: 2.7x median, 4.0x top-quartile.

• Apparel — men's: 2.5x median, 3.8x top-quartile.

• Athleisure & activewear: 2.8x median, 4.1x top-quartile.

• Jewelry & accessories: 3.4x median, 5.0x top-quartile.

• Home & lifestyle: 2.6x median, 3.9x top-quartile.

• Snacks, food & beverages: 3.6x median, 5.4x top-quartile.

• Supplements & wellness: 2.4x median, 3.6x top-quartile.

• Baby & kids: 2.7x median, 4.0x top-quartile.

• Footwear: 2.6x median, 3.9x top-quartile.

• Eyewear: 2.8x median, 4.1x top-quartile.

• Premium leather & accessories: 3.0x median, 4.4x top-quartile.

• Fragrances: 2.7x median, 4.0x top-quartile.

• Kitchenware & cookware: 2.5x median, 3.7x top-quartile.

Why ROAS Varies So Much Across Verticals

Four structural drivers explain the gap between vertical medians:

1. AOV — higher AOV categories (jewelry, premium leather) get higher ROAS at similar CAC, but with longer consideration cycles.

2. Repeat purchase frequency — impulse categories (snacks, beauty consumables) get higher first-purchase ROAS because the buying decision is faster.

3. Margin structure — categories with strong margins can absorb higher CACs and still hit ROAS goals.

4. Audience density — broader-audience categories (apparel, snacks) face less auction competition than narrower categories (premium leather).

A 2.4x ROAS in supplements is structurally different from a 2.4x ROAS in snacks — even though the number is identical.

Context Factors That Shift ROAS Within a Vertical

Factor 1: AOV band

Within any vertical, higher-AOV brands typically see higher ROAS but at lower volumes. A ₹3,500-AOV beauty brand at 3.2x ROAS may be doing the same revenue work as a ₹900-AOV beauty brand at 2.6x ROAS.

Factor 2: Stage (new vs scaling vs scaled)

• New brands (under 6 months Meta history): median ROAS typically 20-30% below vertical median; building audience and creative library.

• Scaling brands (6-24 months): typically tracking close to vertical median.

• Scaled brands (24+ months): top-quartile if creative and operations are well-managed; below median if drift has set in.

Factor 3: Campaign structure

Brands using Advantage+ Shopping Campaigns typically see 10-20% higher blended ROAS than equivalent brands on manual targeting. The advantage compounds with creative volume and CAPI health.

Factor 4: CAPI signal quality

Brands with EMQ above 7.5 see Meta-attributed ROAS 15-25% higher than otherwise-identical brands with EMQ below 5.5 — Meta credits more of the conversions correctly.

Stage-Adjusted ROAS Expectations

If you're a new brand running at vertical median, you're actually above expectations. If you're a scaled brand at vertical median, you're under-performing your potential.

Approximate stage adjustments to apply to vertical median:

• Months 0-3: target 60-75% of vertical median.

• Months 3-6: target 75-90% of vertical median.

• Months 6-12: target 95-110% of vertical median.

• Months 12-24: target 105-125% of vertical median.

• Months 24+: target top-quartile (130-150% of median).

What Top-Quartile Brands Actually Do Differently

Four traits we consistently see in top-quartile accounts across verticals:

1. Creative refresh velocity — 12-25 new creatives per month vs 2-5 for bottom-quartile.

2. CAPI maintenance — continuous monitoring with EMQ 7.5+ vs bottom-quartile sitting at 5-6.

3. Multi-touch attribution — funding top-of-funnel creative based on cohort retention, not last-click ROAS.

4. Competitive intelligence — tracking competitor creative shifts in near-real-time vs quarterly checks.

These traits compound. A brand that does all four typically beats vertical median by 40-60%.

What Bottom-Quartile Brands Have in Common

• Broken or degraded CAPI signal.

• Creative refresh on quarterly cadence (or rarer).

• Audience overlap unmonitored across 5+ adsets.

• Optimization on last-click attribution only.

• No competitive intelligence loop.

These are fixable problems. Most bottom-quartile brands can move to median within 60-90 days of systematic fixes. Read [how to fix low ROAS on Meta Ads](https://www.wittelsbach.ai/post/how-to-fix-low-roas-on-meta-ads-a-d2c-founder-s-guide) for the playbook.

How to Use These Benchmarks Productively

1. Position yourself in your vertical — find your median and top-quartile numbers; locate your account inside the distribution.

2. Apply the stage adjustment — early-stage brands should expect below-median performance; mature brands should expect top-quartile.

3. Identify the gap — distance between your ROAS and top-quartile defines your improvement budget.

4. Diagnose the cause — creative, CAPI, attribution, audience? Each has a different fix path.

5. Re-benchmark every quarter — verticals shift; your account shifts; targets should move with them.

How Wittelsbach AI Operationalizes Benchmark-Driven Optimization

Bach AI benchmarks your account against your exact vertical, AOV band, and stage automatically. Every recommendation references the benchmark gap and the predicted lift. Stop guessing whether 3.1x is good — find out where you actually stand. Connect your Meta account at [app.wittelsbach.ai](https://app.wittelsbach.ai) for a free audit.

Frequently Asked Questions

Why is jewelry's median ROAS higher than beauty's?

Three reasons: higher AOV (₹5,000-15,000 vs ₹800-2,500), stronger gifting/wedding intent driving conversion quality, and longer consideration cycles that allow Meta to optimize with more signal per buyer. Higher CPM is offset by much higher order value.

What ROAS should a new D2C brand target in the first six months?

Target 60-75% of your vertical's median. For a beauty brand, that's roughly 1.8x-2.2x. For an athleisure brand, 1.7x-2.1x. Early-stage ROAS is depressed because you're building creative and audience equity that pays back over months 6-24.

Should I optimize for Meta-attributed ROAS or blended ROAS?

Both. Meta-attributed ROAS guides your Meta-specific levers (creative, audience, bidding). Blended ROAS guides your total marketing mix decisions. They tell different stories — use both, don't conflate them.

How often do these benchmarks change?

We refresh quarterly. Major shifts happen seasonally (Diwali quarter distorts averages) and during platform changes (iOS signal updates, Advantage+ feature launches). Bach AI's in-product benchmarks update monthly so your comparison stays current.

Is the top-quartile ROAS achievable for any brand, or just specific scales?

Achievable for most well-operated brands above ₹3L/month spend. Below that scale, conversion volume is too low for the optimization advantages of top-quartile operators to fully kick in. The first jump (from bottom-quartile to median) is easier than the second (median to top-quartile).