ROAS vs POAS: Which Metric Actually Tells You If Your Ads Are Profitable

What ROAS Actually Measures (And What It Doesn't)

ROAS stands for Return on Ad Spend. The formula is simple: revenue generated ÷ ad spend.

The problem is that "return" in ROAS doesn't mean what it sounds like. When Google and Meta built ROAS as a metric, they didn't have access to your COGS. So they swapped "return" (profit) for "revenue" — and the metric has misled founders ever since.

What ROAS ignores: COGS, shipping, fulfilment, return processing, payment processing fees, and agency costs.

A real example that plays out every day: You spend ₹10L on Meta. You generate ₹40L in revenue. ROAS = 4x. Looks great. Now the full picture: Your product costs ₹15L to manufacture and ship. You process ₹5L in returns. Payment processing costs ₹80K. You actually spent ₹31L to earn ₹35L in net revenue. Profit: ₹4L. Not the "4x return" ROAS suggested. And that's before accounting for your fixed costs.

What POAS Measures

POAS — Profit on Ad Spend — measures the gross profit gained from every ad rupee spent, not just the revenue.

The POAS formula: POAS = (Revenue − COGS − Shipping − Returns − Payment Fees) ÷ Ad Spend × 100%

The break-even point is POAS = 1.0 (or 100%). Everything below 1.0 means you are advertising at a loss.

ROAS vs POAS Side by Side

The most dangerous thing about ROAS is not that it's wrong it's that it's right enough to feel trustworthy. It measures something real. It just doesn't measure what you need to make scaling decisions.

ROAS vs POAS Benchmarks by D2C Category (2026)

Beauty & Personal Care

The insight: Beauty appears to underperform on ROAS relative to other categories. But because margins are high, brands can be very profitable at ROAS levels that would be loss-making in electronics.

Apparel / Fashion

• Median ROAS: 3.5–4.1x
• Typical gross margin: 45–65%
• Return rate: 15–25%
• Implied POAS at median ROAS: 1.0–1.4x (breakeven to profitable, heavily affected by returns)
• Target POAS: 1.2–1.6x

The insight: Apparel has the highest ROAS in most benchmarks. But it also has the highest return rates. A fashion brand at 4x ROAS with a 22% return rate may have a POAS below 1.0 once returns, shipping both ways, and COGS are accounted for. Fashion brands are the category most at risk of confusing strong ROAS with actual profitability.

Health & Supplements

Home & Garden

Food & Beverage

• Median ROAS: 1.5–2.0x
• Typical gross margin: 30–45%
• Implied POAS at median ROAS: 0.5–0.9x (frequently unprofitable on standalone campaigns)
• Target POAS: 1.1–1.3x

Electronics / Gadgets

The insight: Electronics is the category where ROAS is most misleading. High AOV creates impressive revenue numbers. Low margins and high return rates make profitability extremely difficult at scale on paid channels.

The ROAS That Broke a Scaling Decision

A fashion brand is spending ₹15L/month on Meta. ROAS is 3.8x. The agency recommends scaling to ₹25L/month.

Before scaling, they run the POAS calculation:

ROAS was 3.8x. POAS was 0.87. The business was losing money on every scaling rupee — and the ROAS number said everything was fine. This is not a hypothetical. This is the daily reality for fashion brands running on ROAS targets without POAS visibility.

Why Switching to POAS Changes Everything

When you shift your primary optimisation metric from ROAS to POAS, three decisions change immediately:

1. Which campaigns to scale: ROAS says scale the high-revenue, high-return campaign. POAS says kill it.
2. Which products to promote: POAS forces product-level margin data into advertising decisions. You stop running the same bid strategy across your full catalogue.
3. Which channel to invest in: Meta's ROAS might be 3.2x vs Google's 4.1x. But if Meta's customers have lower return rates, it might have the stronger POAS. Channel allocation decisions made on POAS are fundamentally different from ones made on ROAS alone.