goodfoods.com
Goodfoods.com is an online platform offering a wide range of easily accessible and conveniently delivered food items. Their offerings encompass various categories such as fresh produce, pantry staples, snacks, and beverages. The website aims to provide a seamless shopping experience for customers seeking high-quality and diverse food options.
GRIPS CUSTOMERS & RESEARCH PARTNERS
goodfoods.com Annual Revenue and Growth
goodfoods.com's annual sales on its online store amounted to $1.7M in 2025, up 50%+ from the previous year. For 2026, revenue is expected to grow by 50%+. The trend is expected to accelerate.
goodfoods.com's monthly revenueOVER TIME
Over the past three months, goodfoods.com revenue has experienced growth of 172%, compared to the preceding three months.
goodfoods.com competitors
In July 2026, goodfoods.com trails its competitors in average order value (AOV), with a range of $150-175 compared to fabalish.com and realgoodfoods.com, both at $75-100. Despite this, goodfoods.com excels overall, generating a revenue of $917,000—$799,000 more than realgoodfoods.com, which earned $118,000. Additionally, goodfoods.com leads in transactions with 5,708, surpassing realgoodfoods.com by 4,333. It also dominates in sessions, attracting 336,000 users compared to realgoodfoods.com’s 72,800. Although goodfoods.com has a conversion rate of 1.50-2.00%, on par with realgoodfoods.com, fabalish.com significantly outperforms with a rate of 3.00-3.50%. Overall, while goodfoods.com shows strength in revenue and user engagement, improving AOV could enhance its competitive edge.
Gain even more insights with the Grips app
goodfoods.com channels
Identify top traffic channels that drive growth for goodfoods.comand discover how performance of traffic channels has changed over time.
goodfoods.com Google Ads spend
Evaluate goodfoods.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.
goodfoods.com devices
Review goodfoods.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
