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 19%, compared to the preceding three months.
promod.de competitors
In October 2025, when comparing promod.de to its competitors, we can see that Promod has a revenue of 413,844, with 5,546 transactions and 128,004 sessions. The average order value (AOV) falls between 50-75, and the conversion rate is between 4.00-4.50. In comparison, tally-weijl.com has a revenue of 240,984, with 2,993 transactions and 248,370 sessions. madeleine.de has a revenue of 313, with only 1 transaction and 40 sessions, but a higher AOV of 250-275 and conversion rate of 2.50-3.00. na-kd.com stands out with a revenue of 7,054,380, 62,636 transactions, and 2,923,064 sessions, AOV of 100-125, and conversion rate of 2.00-2.50. monki.com has a revenue of 28,463, 223 transactions, and 24,793 sessions, with an AOV of 125-150 and conversion rate of 0.50-1.00. Overall, promod.de falls in the mid-range in terms of revenue and performance metrics among 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.
