Return on Ad Spend

What Is ROAS?

ROAS (Return on Ad Spend) shows how much revenue each advertising dollar generates. The formula is simple: campaign revenue / ad cost. A 2.5 ROAS means 1,000 PLN in ads produced 2,500 PLN in revenue. ROAS alone does not prove profit because it ignores product cost, shipping, fees, refunds, and tax.

That is why an ecommerce operator should start with breakeven ROAS. Shopify reports online sales are set to reach $6.88 trillion in 2026 and 21.1% of total retail (source: https://www.shopify.com/blog/global-ecommerce-sales), so competition for attention is large. Meta's Q1 2026 results reported 3.56 billion Family Daily Active People and a 19% year-over-year increase in ad impressions (source: https://www.prnewswire.com/news-releases/meta-reports-first-quarter-2026-results-302757852.html). More reach does not mean cheaper purchases because Meta also reported a 12% increase in average price per ad.

Example: you sell a product for 199 PLN. Product plus shipping costs 58 PLN, payments and platform cost 8 PLN, support and returns cost 13 PLN. You have 120 PLN before ads. Your non-ad cost is 79 PLN, so the maximum you can spend to acquire one purchase is 120 PLN. Breakeven ROAS is 199 / 120 = 1.66. If the campaign has 2.2 ROAS, it profits. If it has 1.5 ROAS, it loses money despite generating sales.

Evaluate ROAS at the right level. At ad level, you judge creative and angle. At ad set level, you judge audience and delivery. At account level, you judge whether the store is profitable. If you have retargeting and email, do not assign the entire result to one prospecting campaign.

The common mistake is scaling only because ROAS is high at a small budget. Small budgets often capture the easiest purchases. At scale, CPM rises, traffic quality changes, and stability drops. An operator reads ROAS together with CPA, AOV, margin, and cash flow. Only then do you know whether you have a business or just a good-looking ad dashboard.

A good operating rhythm is daily trend reading and weekly budget decisions. Do not kill an ad after one weak day if attribution and cash flow still hold. Do not scale after one great day if purchase volume is tiny. Set thresholds: minimum purchases, maximum CPA, minimum ROAS, and acceptable margin drop. Then campaigns stop being emotional roulette and become a decision system.

Also compare ROAS with order quality. A campaign can show high ROAS but attract customers who return more often, choose cash on delivery, contact support more, or buy only with heavy discounts. Then the ad report looks good while operations suffer. Final ROAS should be adjusted for returns, cancellations, and real margin after discounts.