patpat.com
Patpat.com is an online retailer offering a wide variety of fashionable clothing and accessories for men, women, and children at affordable prices. With an extensive product range, they strive to cater to diverse tastes and ages. They also provide attractive deals and discounts to enhance the shopping experience.
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patpat.com Annual Revenue and Growth
patpat.com's annual sales on its online store amounted to $28.6M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 50%+. This suggests a turnaround from last year's decline.
patpat.com's monthly revenueOVER TIME
Over the past three months, patpat.com revenue has experienced decline of 51%, compared to the preceding three months.
patpat.com competitors
In September 2026, gymboree.com led in revenue at $2.1 million, while patpat.com ranked second with $1.4 million. patpat.com excels in transactions, achieving 22,700, surpassing gymboree.com's 22,500. In terms of sessions, gymboree.com also performed best with 536,000, placing patpat.com third at 288,000. The average order value (AOV) for patpat.com and rufflebutts.com aligns in the range of $50-75, but patpat.com enjoys a higher conversion rate of 7.50-8.00%, compared to rufflebutts.com’s 5.00-5.50%. Overall, patpat.com shows robust transaction performance and strong conversion metrics, indicating effective customer engagement relative to its competitors.
Revenue share by device at patpat.com
In September large majority of sales on patpat.com, 57% was finalized on desktop devices, with 43% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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patpat.com channels
Identify top traffic channels that drive growth for patpat.comand discover how performance of traffic channels has changed over time.
patpat.com Google Ads spend
Evaluate patpat.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
patpat.com devices
Review patpat.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
