shopvoda.com
voda is a womens fashion boutique carrying trendy clothes and accessories. shop with voda online or, at our brick and mortar store located in north hills, in raleigh, north carolina.
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shopvoda.com's monthly revenueOVER TIME
Over the past three months, shopvoda.com revenue has experienced decline of 30%, compared to the preceding three months.
shopvoda.com competitors
In December 2025, shopvoda.com generated $13,859 in revenue from 139 transactions and 4,324 sessions, with an average order value (AOV) ranging from $75 to $100 and a conversion rate between 3.00% and 3.50%. When compared to its competitors, martasofraleigh.com had a lower revenue of $11,798 with only 26 transactions and 6,818 sessions, but a higher AOV of $450 to $475, although the conversion rate was lower at 0.00% to 0.50%. littledetailsboutique.com had a similar revenue of $14,251 with 110 transactions and 3,123 sessions, a slightly higher AOV of $125 to $150, and a comparable conversion rate of 3.50% to 4.00%. theflourishmarket.com outperformed shopvoda.com with a revenue of $28,068 from 141 transactions and 3,859 sessions, a higher AOV of $175 to $200, and the same conversion rate of 3.50% to 4.00%. Lastly, shopkkbloom.com had lower revenue at $9,287 but more transactions (95) and sessions (5,756), with the same AOV range as shopvoda.com and a conversion rate between 1.50% and 2.00%.
Revenue share by device at shopvoda.com
In December large majority of sales on shopvoda.com, 69% was finalized on desktop devices, with 31% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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shopvoda.com channels
Identify top traffic channels that drive growth for shopvoda.comand discover how performance of traffic channels has changed over time.
shopvoda.com Google Ads spend
Evaluate shopvoda.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.
shopvoda.com devices
Review shopvoda.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
