flowersonfirst.com
Flowersonfirst.com is a website that offers a variety of floral arrangements and bouquets for sale. Their inventory includes fresh flowers sourced from reputable growers. They also provide flower delivery services to a wide range of locations and offer options for customized floral designs to suit various occasions.
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flowersonfirst.com Annual Revenue and Growth
flowersonfirst.com's annual sales on its online store amounted to $87.6K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to accelerate.
flowersonfirst.com's monthly revenueOVER TIME
Over the past three months, flowersonfirst.com revenue has experienced growth of 45%, compared to the preceding three months.
flowersonfirst.com competitors
As of April 2026, flowersonfirst.com reported a revenue of $2,491 from 32 transactions over 1,926 sessions, with an Average Order Value (AOV) between $75 and $100, and a conversion rate of 1.50-2.00%. In contrast, scottsflowersnyc.com generated significantly higher revenue at $205,137, completing 485 transactions from 13,853 sessions, boasting an impressive AOV of $400-425 and a conversion rate of 3.00-3.50%. alaricflowers.com, while lower than scottsflowersnyc.com, still outperformed flowersonfirst.com with $10,337 in revenue from 67 transactions across 1,528 sessions, achieving an AOV of $150-175 and a conversion rate of 4.00-4.50%. These metrics indicate that flowersonfirst.com faces stiff competition in terms of revenue and conversion efficiency compared to its competitors.
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flowersonfirst.com channels
Identify top traffic channels that drive growth for flowersonfirst.comand discover how performance of traffic channels has changed over time.
flowersonfirst.com Google Ads spend
Evaluate flowersonfirst.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.
flowersonfirst.com devices
Review flowersonfirst.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
