anntaylor.com
The website anntaylor.com is an online store that offers a range of womens clothing and accessories. Customers can find dresses, tops, pants, skirts, shoes, and more. The site also provides size guides, ordering, and shipping information for a convenient shopping experience.
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anntaylor.com's revenueOVER TIME
Over the past three months, anntaylor.com revenue has experienced growth of 26%, compared to the preceding three months.
anntaylor.com competitors
In May 2025, annntaylor.com generated $24,428,573 in revenue from 194,428 transactions with 5,232,335 sessions, boasting an Average Order Value (AOV) of $125-$150 and a conversion rate of 3.50-4.00%. Comparing it to its competitors, loft.com leads with $34,608,317 in revenue, 351,773 transactions, and 10,404,129 sessions, offering an AOV of $75-$100 and a conversion rate of 3.00-3.50%. White House Black Market follows with $12,967,622 revenue, 73,808 transactions, and 4,260,133 sessions, with an AOV of $175-$200 and a conversion rate of 1.50-2.00%. talbots.com generated $22,726,465 revenue, 142,389 transactions, and 5,446,300 sessions, offering an AOV of $150-$175 and a conversion rate of 2.50-3.00%. express.com had $21,451,310 revenue, 218,537 transactions, and 5,387,013 sessions, with an AOV of $75-$100 and a conversion rate of 4.00-4.50%. Lastly, sumissura.com had $846,826 revenue, 4,202 transactions, and 521,534 sessions, with an AOV of $200-$225 and a conversion rate of 0.50-1.00%.
Revenue share by device at anntaylor.com
In May large majority of sales on anntaylor.com, 59% was finalized on desktop devices, with 41% of sales coming from mobile devices.
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anntaylor.com channels
Identify top traffic channels that drive growth for anntaylor.comand discover how performance of traffic channels has changed over time.
anntaylor.com Google Ads spend
Evaluate anntaylor.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.
anntaylor.com devices
Review anntaylor.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
