alteserien.de
Onlineshop für ausgelaufene Porzellan-, Besteck-, Glaswaren-Serien - Große Auswahl aller Hersteller und Serien nachkaufen: Rosenthal, Villeroy & Boch, Spode, Hutschenreuther, Royal Copenhagen und alle weiteren
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alteserien.de's revenueOVER TIME
Over the past three months, alteserien.de revenue has experienced decline of 15%, compared to the preceding three months.
alteserien.de competitors
In July 2025, alteserien.de had a revenue of €78,211 with 1,407 transactions and 61,552 sessions, resulting in an average order value (AOV) of €50-75 and a conversion rate of 2.00-2.50%. Compared to its competitors, alteserien.de falls behind in terms of revenue, transactions, and sessions. porzellantreff.de generated €214,077 in revenue with 1,045 transactions and 93,567 sessions, boasting a higher AOV of €200-225 but a lower conversion rate of 1.00-1.50%. tischwelt.de outperformed alteserien.de significantly with €557,399 in revenue, 5,689 transactions, and 194,906 sessions, featuring an AOV of €75-100 and a slightly higher conversion rate of 2.50-3.00%. The top performer in the group was pamono.de, raking in €1,922,626 in revenue with 2,981 transactions and 308,051 sessions, showcasing an impressive AOV of €625-650 but a lower conversion rate of 0.50-1.00%. Overall, alteserien.de has room for growth in terms of revenue and sessions compared to its competitors.
Revenue share by device at alteserien.de
In July large majority of sales on alteserien.de, 51% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 49% of sales coming from desktop devices.
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alteserien.de channels
Identify top traffic channels that drive growth for alteserien.deand discover how performance of traffic channels has changed over time.
alteserien.de Google Ads spend
Evaluate alteserien.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.
alteserien.de devices
Review alteserien.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
