fakefoodjapan.com
FakeFoodJapan.com is an e-commerce platform that offers a wide range of artificial food replicas primarily inspired by Japanese cuisine. The website features a diverse selection of replicas, meticulously crafted to mirror the appearance of real dishes and designed for a variety of purposes, such as display, advertising, or educational use.
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fakefoodjapan.com Annual Revenue and Growth
fakefoodjapan.com's annual sales on its online store amounted to $141.2K in 2025, up 50%+ from the previous year. For 2026, revenue is expected to grow by 20-50%. The trend is expected to moderate.
fakefoodjapan.com's monthly revenueOVER TIME
Over the past three months, fakefoodjapan.com revenue has experienced decline of 32%, compared to the preceding three months.
fakefoodjapan.com competitors
In June 2026, fakefoodjapan.com reported a revenue of $1,848 from 42 transactions, achieving 1,540 sessions with an average order value (AOV) ranging from $25-50 and a conversion rate of 2.50-3.00%. In comparison, its competitor, tinyhandsonline.com, outperformed with a substantial revenue of $20,659 from 227 transactions across 11,153 sessions. This competitor's AOV was notably higher, between $75-100, while its conversion rate was slightly lower, ranging from 2.00-2.50%. Although fakefoodjapan.com showed a decent conversion rate, its lower revenue and AOV highlight a significant gap in performance compared to tinyhandsonline.com. This disparity emphasizes the challenges faced by fakefoodjapan.com in attracting higher-value customers and achieving more substantial overall sales in a competitive marketplace.
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fakefoodjapan.com channels
Identify top traffic channels that drive growth for fakefoodjapan.comand discover how performance of traffic channels has changed over time.
fakefoodjapan.com Google Ads spend
Evaluate fakefoodjapan.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
fakefoodjapan.com devices
Review fakefoodjapan.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
