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 decline of 0.01%, compared to the preceding three months.
moebel-shop.de competitors
In August 2026, moebel-shop.de ranks lowest in sessions among its competitors, with 48,100 compared to inhofer.de’s 216,000 sessions. While moebel-shop.de generated $295,000 in revenue from 459 transactions, it trails moebel-martin.de, which achieved $1.1 million in revenue and 2,907 transactions, showcasing a significant performance gap. On the other hand, moebel-shop.de’s average order value (AOV) of $625-650 positions it favorably compared to moebelheinrich.de's AOV of $750-775, though it still falls behind moebel-martin.de’s lower AOV of $375-400. The conversion rates for moebel-shop.de, online-moebel-kaufen.de, moebelheinrich.de, inhofer.de, and schaffrath.com are all in the range of 0.50-1.00%, whereas moebel-martin.de leads with a conversion rate of 1.50-2.00%. Despite its lower performance metrics, moebel-shop.de maintains a competitive AOV and conversion rate, highlighting potential growth areas amidst its rivals.
Revenue share by device at moebel-shop.de
In August 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.
