pipeandrow.com
Pipe and Row is a website that sells clothing and accessories for women. They offer a range of fashionable apparel, including dresses, tops, bottoms, and outerwear. Additionally, they provide an assortment of stylish accessories like jewelry, hats, bags, and shoes to complement various outfits.
GRIPS CUSTOMERS & RESEARCH PARTNERS
pipeandrow.com's revenueOVER TIME
Over the past three months, pipeandrow.com revenue has experienced decline of 17%, compared to the preceding three months.
pipeandrow.com competitors
In June 2025, pipeandrow.com lags behind its competitors in terms of revenue and sessions but has a higher conversion rate. amourvert.com leads in revenue with $139,665, followed by ganni.com with $1,273,037, while pipeandrow.com has $84,384. vagabond.com has the highest number of sessions at 747,345, whereas pipeandrow.com has 34,436 sessions. agolde.com leads in transactions with 1,606, while pipeandrow.com has 297 transactions. In contrast, pipeandrow.com boasts a competitive conversion rate of 0.50-1.00, similar to boysmells.com and ganni.com, while agolde.com and amourvert.com have higher conversion rates ranging from 1.00-2.00. Despite facing stiff competition in revenue and sessions, pipeandrow.com's strong conversion rate suggests potential for growth by maximizing on-site engagement and optimizing marketing strategies.
Revenue share by device at pipeandrow.com
In June large majority of sales on pipeandrow.com, 55% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 45% of sales coming from desktop devices.
Gain even more insights with the Grips app
pipeandrow.com channels
Identify top traffic channels that drive growth for pipeandrow.comand discover how performance of traffic channels has changed over time.
pipeandrow.com Google Ads spend
Evaluate pipeandrow.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.
pipeandrow.com devices
Review pipeandrow.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
