bigdogs.com
Bigdogs.com is an online retail store offering a diverse range of clothing, varying from casual wear to activewear for men and women. Their product catalog includes t-shirts, sweatshirts, pants, shorts, and accessories. They aim to cater to individuals seeking comfortable and stylish attire suitable for various activities and occasions.
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bigdogs.com's revenueOVER TIME
Over the past three months, bigdogs.com revenue has experienced growth of 8.2%, compared to the preceding three months.
bigdogs.com competitors
In July 2025, bigdogs.com generated $23,859 in revenue from 301 transactions and 34,573 sessions, with an average order value (AOV) of $75-100 and a conversion rate of 0.50-1.00%. Compared to its competitors, bigdogs.com falls behind in revenue and transactions, with lower session numbers as well. teddythedog.com leads the pack with $77,891 in revenue from 805 transactions and 25,199 sessions, boasting a high conversion rate of 3.00-3.50%. baxterboo.com also outperforms bigdogs.com with $76,294 in revenue from 1,168 transactions and 44,902 sessions, although with a lower AOV of $50-75. In terms of conversion rates, funnyfur.com and theblackdog.com both excel with rates between 3.00-4.00% and 1.00-1.50%, respectively. Overall, bigdogs.com has room for improvement in increasing its revenue, transactions, and conversion rate to better compete with its counterparts in the market.
Revenue share by device at bigdogs.com
In July large majority of sales on bigdogs.com, 93% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 6.9% of sales coming from desktop devices.
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bigdogs.com channels
Identify top traffic channels that drive growth for bigdogs.comand discover how performance of traffic channels has changed over time.
bigdogs.com Google Ads spend
Evaluate bigdogs.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.
bigdogs.com devices
Review bigdogs.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
