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 decline of 17%, compared to the preceding three months.
bigdogs.com competitors
In May 2025, bigdogs.com reported revenue of $28,899 from 360 transactions and 28,353 sessions, with an average order value (AOV) of $75-100 and a conversion rate of 1.00-1.50%. When compared to its competitors, bigdogs.com falls behind in revenue compared to baxterboo.com at $94,209 and theblackdog.com at $70,067. In terms of transactions, bigdogs.com is on par with animalpride.com at 43 transactions but trails behind baxterboo.com at 1,314 transactions. However, bigdogs.com outperforms funnyfur.com in both revenue and transactions. While bigdogs.com has a similar AOV as animalpride.com and funnyfur.com, it lags behind teddythedog.com and theblackdog.com. Additionally, bigdogs.com has a lower conversion rate compared to funnyfur.com and baxterboo.com. Overall, bigdogs.com faces stiff competition in the pet apparel market and could benefit from improving its conversion rate and increasing transactions to boost revenue.
Revenue share by device at bigdogs.com
In May large majority of sales on bigdogs.com, 90% was finalized on mobile devices, with 10% 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.
