goin.de
Goin.de is a website that offers a variety of products for sale. The range of available products spans from clothing, accessories, electronics, household items, to personal care products. It acts as an online platform connecting buyers with sellers, providing a convenient shopping experience for a diverse array of items.
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goin.de Annual Revenue and Growth
goin.de's annual sales on its online store amounted to $1.6M 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.
goin.de's monthly revenueOVER TIME
Over the past three months, goin.de revenue has experienced decline of 68%, compared to the preceding three months.
goin.de competitors
In September 2026, goin.de achieves a commendable average order value (AOV) of 475-500, surpassing both ggmmoebel.com and gastro-hero.de. However, in terms of revenue, goin.de trails behind its competitors, generating $39,900 compared to ggmmoebel.com’s $278,000 and gastro-hero.de’s $905,000. Similarly, goin.de records 81 transactions, which is significantly lower than ggmmoebel.com’s 1,224 and gastro-hero.de’s 2,253. With 7,414 sessions, goin.de lags well behind the 192,000 sessions of ggmmoebel.com and the impressive 266,000 sessions of gastro-hero.de. The conversion rate for goin.de ranges from 1.00-1.50%, which is a competitive figure but still trails behind its peers.
Revenue share by device at goin.de
In September large majority of sales on goin.de, 68% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 32% of sales coming from desktop devices.
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goin.de channels
Identify top traffic channels that drive growth for goin.deand discover how performance of traffic channels has changed over time.
goin.de Google Ads spend
Evaluate goin.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.
goin.de devices
Review goin.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
