GRIPS CUSTOMERS & RESEARCH PARTNERS
zeitmaschinen-shop.de Annual Revenue and Growth
zeitmaschinen-shop.de's annual sales on its online store amounted to $750.5K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
zeitmaschinen-shop.de's monthly revenueOVER TIME
Over the past three months, zeitmaschinen-shop.de revenue has experienced growth of 82%, compared to the preceding three months.
zeitmaschinen-shop.de competitors
In March 2026, zeitmaschinen-shop.de reported a revenue of $79,944 with 686 transactions and 27,779 sessions, boasting an average order value (AOV) of $100-125 and a conversion rate of 2.00-2.50%. Comparing this data to its competitors, ost2rad.de stands out with the highest revenue of $158,331 from 1,091 transactions and 58,616 sessions, with an AOV of $125-150 and a conversion rate of 1.50-2.00%. kultmopeds.de also showcases strong performance with a revenue of $199,932 from 1,238 transactions and 66,983 sessions, featuring a higher AOV of $150-175. In contrast, sausewind-shop.com lags behind with a revenue of $41,757, while ostoase.de leads the pack with a revenue of $516,690 from 4,571 transactions and 225,548 sessions, aligning closely with zeitmaschinen-shop.de in terms of conversion rate.
Revenue share by device at zeitmaschinen-shop.de
In March large majority of sales on zeitmaschinen-shop.de, 70% was finalized on desktop devices, with 30% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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zeitmaschinen-shop.de channels
Identify top traffic channels that drive growth for zeitmaschinen-shop.deand discover how performance of traffic channels has changed over time.
zeitmaschinen-shop.de Google Ads spend
Evaluate zeitmaschinen-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.
zeitmaschinen-shop.de devices
Review zeitmaschinen-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.
