Fashion Nova, the ultra-popular online clothing retailer, is facing a new class action lawsuit claiming it used fake sales and discounts to trick shoppers into buying products at prices that weren’t really deals. The complaint, filed by five consumers in Washington federal court, says that Fashion Nova’s website design intentionally deceives customers into believing they’re getting an amazing deal.
The Claims
The plaintiffs accuse Fashion Nova of filling its website with pretend sales, countdown timers, strikethrough prices, and big discount percentages, to make shoppers believe certain products are available for a limited time at a deep price cut. The lawsuit claims “Defendant’s website creates an illusion that customers are receiving a limited-time discount. ”
One example from the lawsuit is the “Weekend Sherpa Denim Jacket”. The jacket showed a regular price of $69.99 but was always sold at a discount. At different times, the price dropped to $48.99 and then…
to $28.98, according to the plaintiffs. They say these shifting prices convinced them, and other shoppers, to buy quickly, even though there was never a real “regular” price at all. Deceptive Practices Alleged The complaint says Fashion Nova is fully aware of its advertising practices.
The lawsuit even points to earlier trouble with the Federal Trade Commission (FTC), which found that Fashion Nova had blocked negative reviews and sometimes failed to ship items on time.
In May 2023, Fashion Nova agreed to pay a $4.2 million settlement to refund affected customers after the FTC’s investigation into the company’s practices.
However, the new class action claims the misleading sales and deceptive advertising never really stopped, saying, “Despite these charges, Fashion Nova has continued its practice of making misleading representations about its products and prices.” Who’s Included and What the Suit Seeks The lawsuit aims to cover customers nationwide who bought Fashion Nova products listed as being on sale before March 29, 2024, through the company’s website…
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