GRIPS CUSTOMERS & RESEARCH PARTNERS
moebel-shop.de Annual Revenue and Growth
moebel-shop.de's annual sales on its online store amounted to $4.1M in 2025, down 10-20% from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to accelerate.
moebel-shop.de's monthly revenueOVER TIME
Over the past three months, moebel-shop.de revenue has experienced growth of 97%, compared to the preceding three months.
moebel-shop.de competitors
In September 2026, moebel-shop.de trails its competitors most significantly in sessions, with 73,100 compared to moebel-martin.de's 233,000. While moebel-shop.de generates a revenue of $446,000 from 702 transactions, it ranks fourth among its peers. online-moebel-kaufen.de surpasses it with $640,000 in revenue, while inhofer.de leads at $846,000. Although moebel-shop.de has a comparable conversion rate of 0.50-1.00% to moebelheinrich.de and schaffrath.com, it still falls short in transactions, where moebel-martin.de excels with 3,411. The average order value (AOV) for moebel-shop.de stands between $625-650, which is competitive but does not match the higher AOV of online-moebel-kaufen.de at $1325-1350. Overall, while moebel-shop.de maintains solid performance metrics, it has significant room for improvement, particularly in sessions and transaction volume, compared to its strongest competitors.
Revenue share by device at moebel-shop.de
In September large majority of sales on moebel-shop.de, 85% was finalized on desktop devices, with 15% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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moebel-shop.de channels
Identify top traffic channels that drive growth for moebel-shop.deand discover how performance of traffic channels has changed over time.
moebel-shop.de Google Ads spend
Evaluate moebel-shop.de's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
moebel-shop.de devices
Review moebel-shop.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
