hungryfortime.com
we provide personalized catering and prepared meal delivery by a personal chef in the pittsburgh area. from weddings catering to week-night meals delivered
GRIPS CUSTOMERS & RESEARCH PARTNERS
hungryfortime.com Annual Revenue and Growth
hungryfortime.com's annual sales on its online store amounted to $23.5K in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to moderate.
hungryfortime.com's monthly revenueOVER TIME
Over the past three months, hungryfortime.com revenue has experienced growth of 15%, compared to the preceding three months.
hungryfortime.com competitors
In September 2026, hungryfortime.com trails its competitor, amazon.com, significantly in revenue, reporting $748 compared to amazon.com’s impressive $14.3 billion. In terms of transactions, hungryfortime.com recorded 10, while amazon.com achieved a remarkable 182.6 million transactions. Similarly, sessions reveal a stark contrast: hungryfortime.com garnered 472 sessions, while amazon.com attracted a staggering 2.6 billion sessions. Although hungryfortime.com has an average order value (AOV) ranging from $50-75, which positions it favorably against typical standards, it still cannot match the higher AOV of $75-100 offered by amazon.com. With a conversion rate between 2.00-2.50%, hungryfortime.com also lags behind amazon.com’s conversion rate of 7.00-7.50%. Overall, while hungryfortime.com shows potential, it significantly trails behind amazon.com across all key metrics.
Gain even more insights with the Grips app
hungryfortime.com channels
Identify top traffic channels that drive growth for hungryfortime.comand discover how performance of traffic channels has changed over time.
hungryfortime.com Google Ads spend
Evaluate hungryfortime.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.
hungryfortime.com devices
Review hungryfortime.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
