flordemariacollection.com
worn by celebrities. megan fox, saweetie, carrie underwood, thalia and more. high-end, handmade, stylish and comfortable shoes for the queen in you! luxury shoes at attainable prices. extra footbed padding. shop heels, sandals, pumps, boots, mules. fall must-have shoes
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flordemariacollection.com's revenueOVER TIME
Over the past three months, flordemariacollection.com revenue has experienced decline of 62%, compared to the preceding three months.
flordemariacollection.com competitors
In July 2025, flordemariacollection.com reported a revenue of $11,156 from 24 transactions and 1,601 sessions, with an Average Order Value (AOV) ranging between $450-$475 and a conversion rate of 1.50-2.00%. In comparison, flor.com generated significantly higher revenue of $764,148 from 2,641 transactions and 121,649 sessions, with an AOV of $275-$300 and a conversion rate of 2.00-2.50%. On the other hand, flordemayo.com recorded a revenue of $14,322 from 331 transactions and 7,609 sessions, with an AOV of $25-$50 and a conversion rate of 4.00-4.50%. While flordemariacollection.com has a lower revenue compared to flor.com and flordemayo.com, it boasts a higher AOV and competitive conversion rate, indicating potential for growth and optimization in the future.
Revenue share by device at flordemariacollection.com
In July large majority of sales on flordemariacollection.com, 88% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 12% of sales coming from desktop devices.
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flordemariacollection.com channels
Identify top traffic channels that drive growth for flordemariacollection.comand discover how performance of traffic channels has changed over time.
flordemariacollection.com Google Ads spend
Evaluate flordemariacollection.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.
flordemariacollection.com devices
Review flordemariacollection.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
