pieceshome.com
Pieceshome.com is an online platform that offers a wide variety of products for sale. Their inventory consists of home furnishing items, decor, and furniture. Without promoting the website, they provide an opportunity for consumers to browse and purchase various household items conveniently from the comfort of their homes.
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pieceshome.com's revenueOVER TIME
Over the past three months, pieceshome.com revenue has experienced growth of 6%, compared to the preceding three months.
pieceshome.com competitors
In July 2025, pieceshome.com generated $83,107 in revenue from 58 transactions and 6,067 sessions with an average order value (AOV) ranging between $1425-$1450 and a conversion rate of 0.50-1.00%. Comparing this to its competitors, pieces.com had significantly higher revenue at $259,082 from 3,332 transactions and 158,797 sessions, with a lower AOV of $75-$100 but a higher conversion rate of 2.00-2.50%. wolveswithin.com had much lower revenue at $2,675 from 14 transactions and 883 sessions, with a higher AOV of $175-$200 and a conversion rate of 1.50-2.00%. homeunionnyc.com had revenue closer to pieceshome.com at $264,106 from 390 transactions and 35,777 sessions, with an AOV of $675-$700 and a conversion rate of 1.00-1.50%. Overall, pieceshome.com falls behind in revenue and sessions compared to its competitors, but has a comparable AOV and conversion rate.
Revenue share by device at pieceshome.com
In July large majority of sales on pieceshome.com, 86% was finalized on desktop devices, with 14% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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pieceshome.com channels
Identify top traffic channels that drive growth for pieceshome.comand discover how performance of traffic channels has changed over time.
pieceshome.com Google Ads spend
Evaluate pieceshome.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.
pieceshome.com devices
Review pieceshome.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
