foundfamiliar.com
coffee inspired by fantasy ttrpgs! roasted to order and shipped fresh. each bag features art from some of our favorite artists from around the world.
GRIPS CUSTOMERS & RESEARCH PARTNERS
foundfamiliar.com Annual Revenue and Growth
foundfamiliar.com's annual sales on its online store amounted to $34.5K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to accelerate.
foundfamiliar.com's monthly revenueOVER TIME
Over the past three months, foundfamiliar.com revenue has experienced decline of 20%, compared to the preceding three months.
foundfamiliar.com competitors
In January 2026, foundfamiliar.com reported a revenue of $2,910 with 30 transactions and 1,088 sessions, resulting in an average order value (AOV) of $75-100 and a conversion rate of 2.50-3.00%. Compared to its competitors, mintytees.com generated $4,593 in revenue from 41 transactions and 2,392 sessions, with an AOV of $100-125 and a conversion rate of 1.50-2.00%. zocalocoffee.com outperformed foundfamiliar.com and mintytees.com with a revenue of $7,121, 93 transactions, and 3,040 sessions, boasting a similar AOV of $75-100 but a higher conversion rate of 3.00-3.50%. Lastly, ultrapro.com significantly surpassed all competitors with a revenue of $1,121,722, 9,683 transactions, and 311,072 sessions, maintaining a high AOV of $100-125 and a conversion rate of 3.00-3.50%. Overall, foundfamiliar.com lags behind in revenue and transactions but holds its ground with a respectable AOV and conversion rate within the competitive landscape.
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foundfamiliar.com channels
Identify top traffic channels that drive growth for foundfamiliar.comand discover how performance of traffic channels has changed over time.
foundfamiliar.com Google Ads spend
Evaluate foundfamiliar.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.
foundfamiliar.com devices
Review foundfamiliar.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
