azariabridal.com
AzariaBridal.com is an online platform that offers a wide selection of bridal dresses, accessories, and occasion wear for women. Their products range from wedding gowns, bridesmaid dresses, and veils to jewelry and shoes. They aim to provide customers with a convenient digital shopping experience and a variety of styles to suit different preferences.
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azariabridal.com's monthly revenueOVER TIME
Over the past three months, azariabridal.com revenue has experienced decline of 36%, compared to the preceding three months.
azariabridal.com competitors
In August 2025, azariabridal.com generated a revenue of $11,540 from 19 transactions with 2,280 sessions, boasting an average order value (AOV) range of $600-$625 and a conversion rate of 0.50-1.00%. In comparison, one of its competitors, peachesboutique.com, outperformed azariabridal.com with a revenue of $61,717 from 104 transactions and 34,491 sessions. peachesboutique.com had a slightly lower AOV range of $575-$600 but a conversion rate of 0.00-0.50%. Despite azariabridal.com's strong conversion rate, peachesboutique.com demonstrated significantly higher revenue and transaction numbers, indicating a larger market share and potentially more effective marketing strategies. azariabridal.com may need to reevaluate its approach to compete more effectively in the bridal industry.
Revenue share by device at azariabridal.com
In August large majority of sales on azariabridal.com, 60% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 40% of sales coming from desktop devices.
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azariabridal.com channels
Identify top traffic channels that drive growth for azariabridal.comand discover how performance of traffic channels has changed over time.
azariabridal.com Google Ads spend
Evaluate azariabridal.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.
azariabridal.com devices
Review azariabridal.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
