pellemoda.us
classic & refined footwear - pelle moda a collection of feminine, day to night footwear. a modern and contemporary touch to your everyday lifestyle.
GRIPS CUSTOMERS & RESEARCH PARTNERS
pellemoda.us Annual Revenue and Growth
pellemoda.us's annual sales on its online store amounted to $191.7K in 2024, up 50%+ from the previous year. For 2025, revenue is expected to grow by 50%+. The trend is expected to moderate.
pellemoda.us's monthly revenueOVER TIME
Over the past three months, pellemoda.us revenue has experienced growth of 21%, compared to the preceding three months.
pellemoda.us competitors
In August 2025, pellemoda.us generated $9,237 in revenue from 87 transactions with 3,927 sessions, boasting an Average Order Value (AOV) of $100-125 and a conversion rate of 2.00-2.50%. In comparison, shopmodaboutique.com brought in $10,220 in revenue from 112 transactions with 3,612 sessions, featuring a lower AOV of $75-100 but a higher conversion rate of 3.00-3.50%. On the other hand, v-moda.com reported significantly higher revenue of $84,662 from 424 transactions with 64,804 sessions, with an AOV of $175-200 but a lower conversion rate of 0.50-1.00%. Finally, veromoda.com excelled with $1,691,235 in revenue from 23,085 transactions with 1,099,249 sessions, offering a lower AOV of $50-75 compared to pellemoda.us but matching its conversion rate of 2.00-2.50%.
Revenue share by device at pellemoda.us
In August large majority of sales on pellemoda.us, 67% was finalized on desktop devices, with 33% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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pellemoda.us channels
Identify top traffic channels that drive growth for pellemoda.usand discover how performance of traffic channels has changed over time.
pellemoda.us Google Ads spend
Evaluate pellemoda.us's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
pellemoda.us devices
Review pellemoda.us's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
