bigmoods.com
BigMoods.com is an online platform that offers a wide range of products for sale. It primarily specializes in selling unique and aesthetically pleasing items, including stickers, patches, and art prints. The website aims to provide customers with materials that evoke various emotions through visually captivating designs and quotes.
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bigmoods.com Annual Revenue and Growth
bigmoods.com's annual sales on its online store amounted to $854.6K in 2024, up 50%+ from the previous year. For 2025, revenue is expected to decline by 10-20%. This would mark a reversal from last year's growth.
bigmoods.com's monthly revenueOVER TIME
Over the past three months, bigmoods.com revenue has experienced growth of 9.2%, compared to the preceding three months.
bigmoods.com competitors
When comparing bigmoods.com to its competitors in December 2025, it is evident that bigmoods.com falls behind in terms of revenue. bigmoods.com generated $86,340 from 2,103 transactions and 53,582 sessions, with an average order value (AOV) ranging from $25 to $50 and a conversion rate between 3.50% and 4.00%. In contrast, competitors like makestickers.com and stickergiant.com outperformed bigmoods.com significantly in terms of revenue, with makestickers.com leading the pack at $1,734,887 in revenue from 10,120 transactions and 232,661 sessions. These competitors also had higher AOVs and comparable or slightly higher conversion rates. While bigmoods.com may need to focus on increasing revenue and optimizing its conversion rate, it is important to note that the competition in the sticker industry is fierce, with various players excelling in different areas.
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bigmoods.com channels
Identify top traffic channels that drive growth for bigmoods.comand discover how performance of traffic channels has changed over time.
bigmoods.com Google Ads spend
Evaluate bigmoods.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.
bigmoods.com devices
Review bigmoods.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
