daniafurniture.com
daniafurniture.com is a website that retails a variety of furniture items and furnishings. Their inventory encompasses a diverse range of interior decor including sofas, beds, dining tables, chairs, and accessories. The website offers a convenient platform for customers to explore and purchase furniture items for their homes.
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daniafurniture.com's revenueOVER TIME
Over the past three months, daniafurniture.com revenue has experienced decline of 29%, compared to the preceding three months.
daniafurniture.com competitors
In July 2025, daniafurniture.com lags behind its competitors in terms of revenue, with only $310,146 compared to Scandinavian Designs at $1,656,423 and Scandesign at $2,375,982. daniafurniture.com also falls short in transactions, with only 340 compared to Scandesign's 2,110. However, daniafurniture.com has a competitive average order value (AOV) range of $900-925, similar to Scandinavian Designs and sofasandsectionals.com. In terms of conversion rate, daniafurniture.com falls within the 0.50-1.00 range, similar to Scandinavian Designs and sofasandsectionals.com, but below Scandesign's impressive 7.00-7.50 conversion rate. Despite its lower revenue and transaction numbers, daniafurniture.com maintains a solid AOV and conversion rate in comparison to its competitors in the online furniture market.
Revenue share by device at daniafurniture.com
In July large majority of sales on daniafurniture.com, 68% was finalized on desktop devices, with 32% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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daniafurniture.com channels
Identify top traffic channels that drive growth for daniafurniture.comand discover how performance of traffic channels has changed over time.
daniafurniture.com Google Ads spend
Evaluate daniafurniture.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.
daniafurniture.com devices
Review daniafurniture.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
