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 $5.2M in 2025, up 0-5% from the previous year. For 2026, revenue is expected to decline by 20-50%. This would mark a reversal from last year's growth.
promod.de's monthly revenueOVER TIME
Over the past three months, promod.de revenue has experienced decline of 11%, compared to the preceding three months.
promod.de competitors
In January 2026, promod.de generated $308,931 in revenue from 3,892 transactions and 97,117 sessions, with an average order value (AOV) ranging between $75-100 and a conversion rate of 4.00-4.50%. Compared to its competitors, Tally Weijl had $267,044 in revenue from 3,022 transactions and 268,071 sessions, with a conversion rate of 1.00-1.50%, madeleine.de had $3,353 in revenue from 12 transactions and 433 sessions, with an AOV of $275-300 and a conversion rate of 2.50-3.00%, NA-KD had $6,433,861 in revenue from 55,992 transactions and 2,769,666 sessions, with an AOV of $100-125 and a conversion rate of 2.00-2.50%, and Monki had $37,081 in revenue from 538 transactions and 55,387 sessions, with an AOV of $50-75 and a conversion rate of 0.50-1.00%. Overall, promod.de's performance stands out with a higher revenue and conversion rate compared to its 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.
