viviennetam.com
Viviennetam.com is a website that offers a wide range of fashionable products. The company specializes in selling clothing, including stylish dresses, tops, pants, and outerwear for men and women. Additionally, they also provide accessories and unique gift items, catering to those seeking fashionable and trendy choices.
GRIPS CUSTOMERS & RESEARCH PARTNERS
viviennetam.com's monthly revenueOVER TIME
Over the past three months, viviennetam.com revenue has experienced decline of 1.9%, compared to the preceding three months.
viviennetam.com competitors
In September 2025, viviennetam.com reported a revenue of $22,019 from 120 transactions and 5,560 sessions, with an average order value (AOV) of $175-$200 and a conversion rate of 2.00-2.50%. Comparing this to one of its competitors, arcadeshops.com, which generated a significantly higher revenue of $126,320 from 307 transactions and 18,215 sessions. Despite arcadeshops.com having a higher AOV of $400-$425, their conversion rate is slightly lower at 1.50-2.00%. This indicates that while viviennetam.com may have a lower revenue, they are more successful in converting sessions into transactions with a higher conversion rate. In terms of revenue generation, viviennetam.com can focus on increasing their AOV to potentially compete more closely with arcadeshops.com in the future.
Revenue share by device at viviennetam.com
In September large majority of sales on viviennetam.com, 70% was finalized on desktop devices, with 30% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
Gain even more insights with the Grips app
viviennetam.com channels
Identify top traffic channels that drive growth for viviennetam.comand discover how performance of traffic channels has changed over time.
viviennetam.com Google Ads spend
Evaluate viviennetam.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.
viviennetam.com devices
Review viviennetam.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
