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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 decline of 3.7%, compared to the preceding three months.
online-moebel-kaufen.de competitors
In August 2026, segmueller.de leads the market with an impressive revenue of $10.6 million from 16,900 transactions across 1.4 million sessions, achieving an AOV of $625-650 and a conversion rate of 1.00-1.50%. In comparison, online-moebel-kaufen.de generated $677,000 in revenue from 494 transactions over 91,200 sessions, with an AOV of $1350-1375 and a conversion rate of 0.50-1.00%. While online-moebel-kaufen.de ranks third in revenue, it trails behind both in transactions and sessions, where it ranks fourth among competitors. hardeck.de follows closely with $468,000 in revenue and 538 transactions across 130,000 sessions, while moebelexperten24.de generates $349,000 from 263 transactions over 37,100 sessions. Meanwhile, inhofer.de achieves $686,000 in revenue, significantly leading in transactions at 1,440, even as its AOV remains lower at $475-500.
Revenue share by device at online-moebel-kaufen.de
In August 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.
