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pick-up-moebel.de Annual Revenue and Growth
pick-up-moebel.de's annual sales on its online store amounted to $1.5M in 2025, up 5-10% from the previous year. For 2026, revenue is expected to decline by 20-50%. This would mark a reversal from last year's growth.
pick-up-moebel.de's monthly revenueOVER TIME
Over the past three months, pick-up-moebel.de revenue has experienced decline of 3.3%, compared to the preceding three months.
pick-up-moebel.de competitors
The competitive set includes pick-up-moebel.de, moebelliebling.de, massivmoebel24.de, pharao24.de, wohnsektion.de, and loberon.de. In August 2026, pick-up-moebel.de generated $87,400 in revenue from 65 transactions across 7,577 sessions, giving it an average order value (AOV) ranging from $1,325 to $1,350. In contrast, loberon.de leads with $2.2 million in revenue from 7,344 transactions over 650,000 sessions, showcasing its robust market presence. Both moebelliebling.de and massivmoebel24.de surpass pick-up-moebel.de in revenue and transactions, achieving $225,000 and $718,000 respectively. Additionally, pharao24.de outperforms pick-up-moebel.de with $1.1 million in revenue. With a conversion rate between 0.50-1.00%, pick-up-moebel.de matches the rates of massivmoebel24.de and wohnsektion.de but trails behind loberon.de, which achieves a conversion rate of 1.00-1.50%.
Revenue share by device at pick-up-moebel.de
In August large majority of sales on pick-up-moebel.de, 73% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 27% of sales coming from desktop devices.
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pick-up-moebel.de channels
Identify top traffic channels that drive growth for pick-up-moebel.deand discover how performance of traffic channels has changed over time.
pick-up-moebel.de Google Ads spend
Evaluate pick-up-moebel.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.
pick-up-moebel.de devices
Review pick-up-moebel.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
