addicted.fishing
Addicted.fishing is an online platform specializing in products related to the sport of fishing. The website offers a wide range of fishing gear and accessories, including rods, reels, tackle, and apparel. It provides a convenient online shopping experience for fishing enthusiasts with a plethora of products to cater to their angling needs.
GRIPS CUSTOMERS & RESEARCH PARTNERS
addicted.fishing's revenueOVER TIME
Over the past three months, addicted.fishing revenue has experienced decline of 40%, compared to the preceding three months.
addicted.fishing competitors
In March 2025, addicted.fishing outperformed its competitor fishermans-marine.com in terms of revenue, generating $110,245 compared to $70,671. However, fishermans-marine.com had more transactions with 451, compared to addicted.fishing's 359. In terms of sessions, fishermans-marine.com had significantly more with 20,262, while addicted.fishing had 9,692. The Average Order Value (AOV) for addicted.fishing was higher at $300-$325, compared to fishermans-marine.com's $150-$175. Additionally, addicted.fishing had a higher conversion rate of 3.50-4.00%, while fishermans-marine.com had a lower conversion rate of 2.00-2.50%. Overall, addicted.fishing showcased strong performance in revenue and AOV, but had lower transaction numbers and sessions compared to fishermans-marine.com.
Revenue share by device at addicted.fishing
In March large majority of sales on addicted.fishing, 51% was finalized on mobile devices, with 49% of sales coming from desktop devices.
Gain even more insights with the Grips app
addicted.fishing channels
Identify top traffic channels that drive growth for addicted.fishingand discover how performance of traffic channels has changed over time.
addicted.fishing Google Ads spend
Evaluate addicted.fishing's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
addicted.fishing devices
Review addicted.fishing's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
