promod.de
Promod.de is a website that offers a variety of clothing and accessories for women. Their product range includes dresses, tops, pants, skirts, and coats, among others. Additionally, they sell footwear and accessories such as bags, belts, and jewelry. The site provides online shopping and delivery services to customers in Germany.
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promod.de Annual Revenue and Growth
promod.de's annual sales on its online store amounted to $5M in 2024, down 0-5% from the previous year. For 2025, revenue is expected to grow by 10-20%. This suggests a turnaround from last year's decline.
promod.de's monthly revenueOVER TIME
Over the past three months, promod.de revenue has experienced decline of 28%, compared to the preceding three months.
promod.de competitors
In September 2025, when comparing promod.de to its competitors, it is evident that promod.de falls in the middle in terms of revenue. promod.de generated €348,529 in revenue from 4,525 transactions and 100,440 sessions, with an average order value (AOV) ranging from €75-100 and a conversion rate of 4.00-4.50%. In contrast, na-kd.com outperformed promod.de significantly with €6,696,836 in revenue from 56,940 transactions and 2,912,784 sessions, featuring a higher AOV of €100-125 and a conversion rate of 1.50-2.00%. tally-weijl.com, on the other hand, had lower revenue compared to promod.de, while monki.com showed similar performance in terms of revenue, transactions, and AOV but had a lower conversion rate. Overall, promod.de maintains a competitive position in the market but has room for improvement in increasing revenue and conversion rate to reach the levels of its higher-performing competitors.
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promod.de channels
Identify top traffic channels that drive growth for promod.deand discover how performance of traffic channels has changed over time.
promod.de Google Ads spend
Evaluate promod.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.
promod.de devices
Review promod.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
