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 $56.5K in 2024, down 20-50% from the previous year. For 2025, revenue is expected to grow by 10-20%. This suggests a turnaround from last year's decline.
fakefoodjapan.com's monthly revenueOVER TIME
Over the past three months, fakefoodjapan.com revenue has experienced growth of 140%, compared to the preceding three months.
fakefoodjapan.com competitors
In October 2025, fakefoodjapan.com outperformed its competitor tinyhandsonline.com in terms of revenue, with fakefoodjapan.com generating $14,637 compared to tinyhandsonline.com's $4,922. However, tinyhandsonline.com had more sessions at 3,398 compared to fakefoodjapan.com's 1,289. Despite this, fakefoodjapan.com had a higher conversion rate of 5.50-6.00% compared to tinyhandsonline.com's 1.50-2.00%. Additionally, fakefoodjapan.com had a higher average order value (AOV) range of $200-225, while tinyhandsonline.com had an AOV range of $75-100. Overall, fakefoodjapan.com demonstrated stronger revenue generation and conversion rates, indicating a higher level of success in converting sessions into transactions when compared to its competitor tinyhandsonline.com.
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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.
