What is POAS and why does it matter more than ROAS?

POAS (Profit on Ad Spend) is net profit divided by ad spend. ROAS (Return on Ad Spend) is just revenue divided by ad spend, ignoring whether the revenue is profitable. A SKU with 5x ROAS but negative POAS is losing money on every order. POAS is the metric that decides scale-or-cut.

What tier classifications does the tool use?

SCALE: profitable + efficient ads, increase spend. OPTIMIZE: profitable but inefficient, fix targeting. MAINTAIN: profitable at current spend. EVALUATE: break-even, needs changes. CUT: unprofitable, stop advertising. HALO: loses money on direct sale but drives other SKU purchases. HERO: intentional loss leader. UNKNOWN: insufficient data.

What data do I need to provide?

At minimum: SKU code, product name, price, COGS, ad spend, and units sold per SKU. Optional: return rate, shipping cost, category. The tool falls back to category benchmarks for any optional fields you leave blank.

How does the contribution margin calculation work?

Contribution margin equals gross profit (revenue minus COGS) minus per-unit variable costs (shipping, return cost, payment processing fees). Net profit then subtracts ad spend. The breakdown surfaces in each SKU row's expansion panel so you can see where margin leaks.

Are the tier thresholds statistical?

No. Tier thresholds are heuristic, calibrated against industry-category POAS and net-margin benchmarks. They surface scale or cut candidates worth investigating, not a statistically certified verdict. Use them as a prioritisation lens, not a single-number decision.

Yes. One use per day with no signup, three per day with a free account, unlimited with Pro. SKU data uploaded for analysis is not retained beyond the session.

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Per-SKU P&L from real costs.

Upload a SKU CSV or type rows manually. Computes per-SKU contribution margin and net profit after COGS, shipping, returns, payment fees, and ad spend. Classifies each SKU into Scale / Optimize / Maintain / Evaluate / Cut tiers and surfaces cut + scale candidates.

ParkerAttribution

Industry

Time period

Currency

Payment fee % (opt)

Drop your SKU CSV here, or click to upload

Required columns: SKU, Name, Price, COGS

Shopify products CSV auto-detected (variant SKU + cost per item)

For Shopify: Products → Export → All products as CSV

Per-SKU P&L stack: gross profit (revenue minus COGS), contribution margin (gross profit minus per-unit shipping, return cost, and payment processing fees), and net profit (contribution margin minus ad spend). POAS = net profit / ad spend (the metric that actually decides scale-or-cut, not platform-reported ROAS). Tier classification thresholds based on POAS, net margin, and category benchmarks.

Per-SKU margin is one lens. The full growth audit runs seven checks against your live store, including whether those products are readable to AI agents at all, alongside your tracking, your landing page and your AI visibility.

Run the free growth audit