antonia.it
Antonia.it is a website that offers a wide range of fashion products, including clothing, accessories, and footwear from various luxury brands. The site allows customers to explore and purchase high-end fashion items for men and women through its user-friendly interface.
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antonia.it Annual Revenue and Growth
antonia.it's annual sales on its online store amounted to $5.6M in 2025, up 50%+ from the previous year. For 2026, revenue is expected to grow by 0-5%. The trend is expected to moderate.
antonia.it's monthly revenueOVER TIME
Over the past three months, antonia.it revenue has experienced growth of 76%, compared to the preceding three months.
antonia.it competitors
In July 2026, antonia.it significantly trails its competitors in revenue, with $698,000 compared to mytheresa.com’s $38.8 million, a staggering gap of 38.1 million. While antonia.it's conversion rate stands at 0.50-1.00%, it mirrors that of mytheresa.com and net-a-porter.com, which have higher overall performance metrics. net-a-porter.com leads with 79,900 transactions, leaving antonia.it behind by 78,900 transactions despite a similar conversion rate. Sessions also highlight antonia.it's struggles, as it recorded only 127,000 sessions, lagging 7.5 million behind net-a-porter.com. In terms of average order value, antonia.it's AOV of 700-725 exceeds that of mytheresa.com and net-a-porter.com, but the overall performance metrics reveal significant room for improvement against its leading competitors.
Industries antonia.it operates in
antonia.it is tracked across 1 e-commerce industry. Explore market size, leading retailers and benchmarks for each.
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antonia.it channels
Identify top traffic channels that drive growth for antonia.itand discover how performance of traffic channels has changed over time.
antonia.it Google Ads spend
Evaluate antonia.it's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
antonia.it devices
Review antonia.it's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
