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.
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pipeandrow.com's revenueOVER TIME
Over the past three months, pipeandrow.com revenue has experienced decline of 21%, compared to the preceding three months.
pipeandrow.com competitors
In August 2025, pipeandrow.com, with a revenue of $74,274 from 271 transactions and 29,398 sessions, has a competitive average order value (AOV) of $250-275 and a conversion rate of 0.50-1.00. Comparatively, agolde.com leads the pack with a revenue of $358,820 from 1,570 transactions and 103,798 sessions, boasting a higher AOV range of $225-250 and a conversion rate of 1.50-2.00. vagabond.com follows with a significant revenue of $2,941,256 from 12,537 transactions and 905,243 sessions, matching pipeandrow.com's AOV while exceeding in conversion rate with 1.00-1.50. ganni.com stands close to pipeandrow.com with a revenue of $1,035,124 from 3,971 transactions and 656,568 sessions, also sharing a similar AOV range and conversion rate. amourvert.com and boysmells.com are trailing behind pipeandrow.com in revenue and sessions, with differing AOVs and similar conversion rates.
Revenue share by device at pipeandrow.com
In August large majority of sales on pipeandrow.com, 70% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 30% of sales coming from desktop devices.
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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.
