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Ecommerce Pulse Report

Ecommerce Pulse Report for Apparel, Accessories & Footwear

Online Apparel, Accessories & Footwear sales are affected by all kinds of outside influences — the season, the style, pop culture, social media and the economy. Connecting with customers by offering a compelling collection is a constant challenge. See how your company performance compares to industry peers from the Signifyd Commerce Network.

Last month at a glance

Sales YoY%

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AOV YoY%

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Fraud pressure YoY%

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BOPIS YoY%

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Apparel, Accessories & Footwear Pulse insights

Select below to view insights from the Apparel, Accessories & Footwear industry.

With big surges comes operational gaps. Expect challenges from these fraud pressure vectors:

eBay marketplace “triangulation” fraud

The fraudster creates genuine seller profile on marketplaces and uses stolen card data to fulfill the order from another retailer. Attack vector moved to popular SKUs over the summer.

Touchless delivery abuse risk

As FedEx and UPS moved to no-signature delivery, retailers saw an uptick of Item-Not-Recieved (INR) and Significantly-Not-As-Described (SNAD) claims.

Curbside pickup BOPIS mule fraud

Many retailers like Dick’s Sporting Goods and Best Buy have accelerated BOPIS (touchless curbside pickup) to counter store closures. They also saw an uptick in mule fraud.

Methodology

What’s in our Apparel, Accessories & Footwear index?

The Ecommerce Pulse Report from Signifyd was designed to provide ongoing coverage of changes and trends in the ecommerce landscape. The data in this report illustrates how the Apparel, Accessory & Footwear vertical is performing now compared to historical performance. Data is aggregated by category across thousands of ecommerce merchants globally.

Categories

  • Fast fashion
  • Mid‑range fashion
  • High fashion
  • Luxury goods, jewelry & watches
  • Footwear
  • Luggage & travel accessories

Fast facts

  • Full fidelity on 60M orders per month (session behavior, cart data, payment info, shipping and billing info)
  • 98% of transactions are identified automatically because of the breadth and strength of our network

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