pleasershoes.com
Pleasershoes.com is an e-commerce website offering a diverse range of footwear. Their inventory consists of various styles including high heels, platform shoes, boots, and sandals. The website showcases an extensive collection targeting different tastes with a focus on glamorous and edgy fashion footwear.
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pleasershoes.com's revenueOVER TIME
Over the past three months, pleasershoes.com revenue has experienced decline of 12%, compared to the preceding three months.
pleasershoes.com competitors
In May 2025, pleasershoes.com outperformed its competitors in terms of revenue, transactions, sessions, and conversion rate. pleasershoes.com generated a revenue of $381,623 from 3,038 transactions and 254,172 sessions with a conversion rate of 1.00-1.50%. In comparison, funkypair.com earned $80,848 from 601 transactions and 37,826 sessions with a higher conversion rate of 1.50-2.00%. sinfulshoes.com had even lower revenue at $16,424 from 146 transactions and 8,057 sessions with a similar conversion rate as funkypair.com. fantasiawear.com, bootycocktails.com, and totallywickedfootwear.com all had significantly lower revenue, transactions, sessions, and conversion rates compared to pleasershoes.com. pleasershoes.com's average order value (AOV) falls within the same range as most of its competitors at $125-150. Overall, pleasershoes.com emerged as the top performer in the industry during May 2025.
Revenue share by device at pleasershoes.com
In May large majority of sales on pleasershoes.com, 77% was finalized on mobile devices, with 23% of sales coming from desktop devices.
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pleasershoes.com channels
Identify top traffic channels that drive growth for pleasershoes.comand discover how performance of traffic channels has changed over time.
pleasershoes.com Google Ads spend
Evaluate pleasershoes.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.
pleasershoes.com devices
Review pleasershoes.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
