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.
GRIPS CUSTOMERS & RESEARCH PARTNERS
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 20-50%. 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 82%, compared to the preceding three months.
fakefoodjapan.com competitors
In November 2025, when comparing fakefoodjapan.com to its competitor tinyhandsonline.com, it is evident that fakefoodjapan.com outperforms in terms of revenue, transactions, sessions, average order value (AOV), and conversion rate. fakefoodjapan.com generated a revenue of $18,883 from 99 transactions and 1,823 sessions, with an AOV ranging between $175-$200 and a conversion rate of 5.00-5.50%. In contrast, tinyhandsonline.com only generated $6,877 in revenue from 87 transactions and 4,342 sessions, with an AOV between $75-$100 and a conversion rate of 2.00-2.50%. Overall, fakefoodjapan.com has shown to have a stronger performance across all metrics compared to its competitor in the same time period.
Gain even more insights with the Grips app
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.
