Scenario
Fashion and apparel·Shopify

Profit-first pilot for a Shopify fashion store

A typical fashion store scenario using Meta Ads as the primary acquisition channel and wanting to move beyond revenue-based steering to measure real profitability.

Typical profile

Industry
Fashion and apparel
Platform
Shopify
Acquisition channels
Meta Ads, Google Ads, organic
Typical average order
60 to 100 euros (see industry benchmarks)

The context

In fashion, return rates are structurally high and gross margins can vary significantly from one collection to another. A typical fashion store combines large social traffic, strong seasonality and a catalog that turns quickly.

Beyond a certain volume, steering by revenue or simple ROAS stops being enough. Returns, promotions, logistics fees and margin gaps between SKUs can silently erode real profitability.

Typical pain points

Flattering ROAS, flat profit

Meta Ads ROAS looks fine, but monthly net profit does not grow at the same pace as revenue. It becomes hard to know which campaigns actually contribute to the bottom line.

Returns poorly integrated

Return rates are not consistently deducted from performance calculations. Some categories return far more than others and distort budget arbitration decisions.

Margin varies by product

Between best-sellers, new arrivals and clearance, gross margin can vary by 2x. Meta algorithms optimize on conversion, not on per-SKU margin.

Time spent consolidating

Cross-referencing Meta, Shopify and a weekly Google Sheet is time-consuming and leaves room for approximation, making budget decisions less reliable than they seem.

What Fullmetrix can bring

From ROAS to POAS

Fullmetrix automatically computes POAS by campaign, ad set and creative, based on COGS, fees and returns. The team can compare flattering and truly profitable campaigns.

Returns and fees integrated

Returns, shipping fees, commissions and transaction fees are baked into per-order profit, without manual spreadsheets, continuously.

RFM segments and audiences

RFM segments (Champions, Loyal, At-risk, etc.) can be synced as custom or exclusion audiences to Meta Ads, for finer targeting and to avoid wasting budget on already-loyal customers.

Profitability drift alerts

Rules can be set to alert when a campaign, category or product falls below a POAS or net margin threshold, before the impact becomes material.

What you can expect to measure

The items below are metrics typically observable on this profile, not numerical guarantees. Magnitudes depend on your industry and starting situation.

Visibility into real profitability

Identify which campaigns, categories and SKUs are genuinely profitable once all costs and returns are deducted, rather than relying on the raw ROAS reported by the ad platform.

Cleaner budget arbitration

Gradually shift budget from low-POAS campaigns to those producing positive net margin, without necessarily increasing total spend.

Sharper ad targeting

Use RFM segments to build higher-quality lookalike audiences and exclude highly active customers from generic retargeting.

Less time on reporting

Replace the weekly Google Sheet with a single dashboard where the team can read profit, POAS and LTV in a few clicks.

Frequently asked questions

How long does it take to set up Fullmetrix on Shopify?

The Shopify connection takes about 5 minutes. Initial cost setup (COGS, shipping, transaction fees, returns) typically takes 10 to 15 minutes to reach a reliable calculation base.

Is it suitable for a small or mid-size store?

Yes. Fullmetrix is built for merchants who want to steer profitability precisely, from the stage where first campaigns become meaningful up to multi-collection catalogs.

Do I need to pause Meta Ads during setup?

No. Fullmetrix connects in read mode to Meta Ads and Shopify, without changing your existing campaigns. You keep piloting as before during the observation phase.

Can I try it without commitment?

Yes, a 14-day free trial is available, no credit card required to start. The goal is to check whether the profit view matches your needs.

See if this scenario applies to your store

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