cantura.de
Cantura.de is a website that offers a variety of products for online shoppers. They sell a wide range of items, including clothing, accessories, home decor, electronics, and more. The website provides a convenient platform for users to browse through numerous product options and make online purchases.
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cantura.de Annual Revenue and Growth
cantura.de's annual sales on its online store amounted to $2.4M in 2025, up 50%+ from the previous year. For 2026, revenue is expected to decline by 50%+. This would mark a reversal from last year's growth.
cantura.de's monthly revenueOVER TIME
Over the past three months, cantura.de revenue has experienced decline of 33%, compared to the preceding three months.
cantura.de competitors
In January 2026, cantura.de outperformed its competitor thankyoujane.de in all key metrics. cantura.de generated $75,170 in revenue from 536 transactions and 17,399 sessions, with an average order value (AOV) ranging from $125 to $150 and a conversion rate between 3.00% and 3.50%. Meanwhile, thankyoujane.de only achieved $2,605 in revenue from 47 transactions and 2,576 sessions, with a lower AOV of $50 to $75 and a conversion rate of 1.50% to 2.00%. cantura.de demonstrated a significantly higher revenue, transaction volume, session count, AOV, and conversion rate compared to thankyoujane.de, indicating superior performance and stronger customer engagement.
Revenue share by device at cantura.de
In January large majority of sales on cantura.de, 86% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 14% of sales coming from desktop devices.
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cantura.de channels
Identify top traffic channels that drive growth for cantura.deand discover how performance of traffic channels has changed over time.
cantura.de Google Ads spend
Evaluate cantura.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.
cantura.de devices
Review cantura.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
