impressionen.de
Impressionen.de is an online store offering a wide range of products. They sell fashion items, home decor, furniture, accessories, and beauty products. With a focus on contemporary style, the website also features exclusive collaborations and unique, trend-driven designs. The collection aims to cater to various tastes and preferences.
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impressionen.de Annual Revenue and Growth
impressionen.de's annual sales on its online store amounted to $67.5K in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 0-5%. The trend is expected to moderate.
impressionen.de's monthly revenueOVER TIME
Over the past three months, impressionen.de revenue has experienced decline of N/A, compared to the preceding three months.
impressionen.de competitors
The competitive set includes impressionen.de, albamoda.de, wenz.de, madeleine.de, myclassico.com, and heine.de. In July 2026, impressionen.de generated $5,587 in revenue from 31 transactions over 947 sessions, resulting in a conversion rate of 3.00-3.50%. Comparatively, heine.de leads significantly with $9.2 million in revenue and 70,600 transactions from 2 million sessions, while impressionen.de trails by $9.2 million in revenue and 70,569 transactions. wenz.de also surpasses impressionen.de, earning $7,209 from 25 transactions, yet has a similar session count of 959. Both albamoda.de and madeleine.de underperform against impressionen.de, with revenues of $2,199 and $2,264, respectively. Despite this, impressionen.de ranks third in transactions, outperforming albamoda.de and madeleine.de but falling short against heine.de and wenz.de.
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impressionen.de channels
Identify top traffic channels that drive growth for impressionen.deand discover how performance of traffic channels has changed over time.
impressionen.de Google Ads spend
Evaluate impressionen.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.
impressionen.de devices
Review impressionen.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
