highfashionhome.com
Highfashionhome.com is an online platform specializing in selling stylish and contemporary home furnishings and decor. They offer a wide selection of furniture, lighting fixtures, rugs, accessories, and wall art. The website provides an extensive range of items curated to meet various aesthetic preferences and interior design needs.
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highfashionhome.com's revenueOVER TIME
Over the past three months, highfashionhome.com revenue has experienced decline of 12%, compared to the preceding three months.
highfashionhome.com competitors
highfashionhome.com has a higher revenue of $566,670 compared to its competitors. In terms of transactions, it falls in the middle with 505 transactions, behind franceandson.com with 519 transactions. However, highfashionhome.com has the highest number of sessions at 139,821, showing a strong online presence. The average order value (AOV) for highfashionhome.com ranges from $1100-$1125, slightly lower than Grayson Living at $1200-$1225. Conversion rates for highfashionhome.com are between 0.00-0.50, on par with franceandson.com. Meadow Blu, Key Home Furnishings, and Burke Decor have lower revenues, transactions, sessions, AOVs, and comparable conversion rates, indicating that highfashionhome.com outperforms them in all these metrics. Overall, highfashionhome.com shows strong performance and competitiveness in the online high-end furniture market.
Revenue share by device at highfashionhome.com
In April large majority of sales on highfashionhome.com, 66% was finalized on desktop devices, with 34% of sales coming from mobile devices.
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highfashionhome.com channels
Identify top traffic channels that drive growth for highfashionhome.comand discover how performance of traffic channels has changed over time.
highfashionhome.com Google Ads spend
Evaluate highfashionhome.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.
highfashionhome.com devices
Review highfashionhome.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
