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Ecommerce Pulse Report

Ecommerce Pulse Report for Sporting Goods

Online Sporting Goods sales are affected by all kinds of outside influences — the season, the sports celebrity of the moment, pop culture, social media and the economy. Anticipating the equipment and products customers will want and having it when and where they want it 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%




Fraud pressure YoY%




Sporting Goods Pulse insights

Select below to view insights from the Sporting Goods 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.

Look-alike fraud websites

Fraudsters clone brand websites to replicate brand look onto similar URL, but do not ship product after accepting payment. Trending SKUs will be targeted.

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.


What’s in our Sporting Goods 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 Sporting Goods vertical is performing now compared to historical performance. Data is aggregated by category across thousands of ecommerce merchants globally.


  • Sporting goods
  • Leisure (media, toys, hobbies & games)
  • Outdoor (camping, hiking & fishing)
  • Weapons & 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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