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online-moebel-kaufen.de Annual Revenue and Growth
online-moebel-kaufen.de's annual sales on its online store amounted to $12.7M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to accelerate.
online-moebel-kaufen.de's monthly revenueOVER TIME
Over the past three months, online-moebel-kaufen.de revenue has experienced growth of 3.7%, compared to the preceding three months.
online-moebel-kaufen.de competitors
In July 2026, segmueller.de dominates the market with a staggering revenue of $10.3 million, far outpacing online-moebel-kaufen.de, which ranks second at $685,000 and trails segmueller.de by $9.6 million. In terms of transactions, segmueller.de leads with 16,500, while online-moebel-kaufen.de is third with 502, falling short by 16,000 transactions. online-moebel-kaufen.de receives 91,200 sessions, placing it fourth; it trails segmueller.de by 1.3 million sessions. Competitors like inhofer.de also perform strongly, generating $507,000 with 982 transactions and 156,000 sessions, showcasing robust AOV figures in the $500-525 range. Meanwhile, moebelexperten24.de and hardeck.de follow behind with revenues of $364,000 and $406,000, respectively. Overall, online-moebel-kaufen.de performs well but has significant gaps to close compared to top competitors.
Revenue share by device at online-moebel-kaufen.de
In July large majority of sales on online-moebel-kaufen.de, 59% was finalized on desktop devices, with 41% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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online-moebel-kaufen.de channels
Identify top traffic channels that drive growth for online-moebel-kaufen.deand discover how performance of traffic channels has changed over time.
online-moebel-kaufen.de Google Ads spend
Evaluate online-moebel-kaufen.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.
online-moebel-kaufen.de devices
Review online-moebel-kaufen.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
