Fashion and apparel industry

Ecommerce analytics for fashion and apparel stores

Fashion faces unique challenges: high return rates, strong seasonality, sizing issues, and aggressive fast fashion competition. Fullmetrix centralizes your critical metrics to pilot each collection with precision and protect your margins.

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Fashion benchmarks

Key figures for the fashion and apparel industry

50 to 65%

Average gross margin for fashion ecommerce stores

50 to 80 EUR

Average order value (AOV) in fashion ecommerce

1.5 to 3%

Average conversion rate for fashion stores

20 to 30%

Average return rate in online fashion

2.5 to 4 times

Average annual purchase frequency per customer

25 to 40%

Share of revenue generated during sales

Industry challenges

Specific challenges of fashion and apparel ecommerce

Return rates that eat profitability

With 20 to 30% of orders returned, fashion is one of the industries hit hardest by returns. Each return costs 10 to 30 EUR in logistics, repackaging, and restocking. Without precise tracking of the most returned products and sizes, you suffer continuous margin erosion without being able to act on the root causes.

Extreme seasonality that distorts analysis

Fashion sales follow strong seasonal cycles: spring-summer, fall-winter, sales, Black Friday. Comparing one week to the next makes no sense. You need year-over-year comparisons and cohorts by collection to distinguish real performance from seasonal noise.

Sizing issues that kill conversion

Customers hesitate between sizes, order doubles to try, and send back what does not fit. This behavior artificially inflates gross revenue and hides true conversion rate. Without dedicated metrics on SKU return rates, you optimize campaigns on misleading numbers.

Fast fashion competition crushing margins

Shein, Zara, H&M, and marketplaces impose constant price pressure. Each poorly piloted promotion cuts your net margin. Without visibility into real margin by product and promotion, you risk selling at a loss without noticing until monthly close.

The Fullmetrix solution

How Fullmetrix equips online fashion brands

Detailed return tracking by product and size

Fullmetrix calculates the net return rate for each SKU, category, collection, and size. Immediately identify problematic products and adjust size guides, visuals, or product pages to reduce returns by 15 to 25%.

Collection-by-collection comparisons

Analyze each collection's performance against previous ones: sell-through rate, contribution margin, velocity, and return rate. Pilot your next supplier orders with objective data instead of intuition.

RFM segmentation adapted to the fashion cycle

Identify premium shoppers, sales customers, and one-shot buyers. Build audiences synced to Meta Ads and Google Ads to reactivate the right customers at the right time with the right message and margin.

Automated P&L with promotions and sales integrated

Fullmetrix calculates your net margin including discounts, promo codes, return shipping costs, and repackaging expenses. Finally see your true profitability outside promotional periods.

Key metrics

The metrics that matter for a fashion brand

Net margin per product

Calculate real profit for each item by including cost of goods, shipping, commissions, and return rate. Identify profitable best-sellers and low-margin products.

Return rate per SKU

Track the return rate of each product and size. Act on problematic SKUs before they erode your bottom line.

AOV by category

Compare average basket size between tops, bottoms, accessories, and footwear to guide your merchandising and cross-sell strategy.

RFM segments

Identify VIP customers, churn-risk buyers, and occasional shoppers to personalize email and advertising campaigns.

FAQ

Frequently asked questions about Fullmetrix for fashion

Does Fullmetrix handle fashion-specific product returns?+

Yes. Fullmetrix automatically syncs returns from PrestaShop, WooCommerce, and Shopify. Return rate is calculated per SKU, size, color, and category, with direct impact on displayed net margin.

Can I compare two collections against each other?+

Yes. You can create product segments by collection and compare their performance over the same launch period: sales, margin, return rate, and sell-through rate.

How does Fullmetrix handle sales periods?+

Fullmetrix automatically integrates promo codes and discounts into net margin calculation. You visualize true profitability outside and during sales to adjust your promotional strategy.

Can audiences be synced to Meta Ads?+

Yes. Fullmetrix automatically syncs RFM segments to Meta Ads, Google Ads, and TikTok Ads to target your best customers or reactivate dormant ones.

Does Fullmetrix work with multiple fashion stores?+

Yes. You can connect several stores (by market, country, or brand) and get a consolidated P&L plus multi-store comparisons.

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