loose.parts
loose parts is a furniture system designed to adapt to changing needs and environments. based on an intuitive building system, the invitation to assemble, disassemble and reassemble drives our design process, with the goal of ultimately reducing furniture landfill waste, encourage reuse, and inspire agency.
GRIPS CUSTOMERS & RESEARCH PARTNERS
loose.parts Annual Revenue and Growth
loose.parts's annual sales on its online store amounted to $146.8K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
loose.parts's monthly revenueOVER TIME
Over the past three months, loose.parts revenue has experienced decline of 79%, compared to the preceding three months.
loose.parts competitors
In May 2026, loose.parts reported a revenue of $6,557 from 10 transactions over 482 sessions, resulting in an average order value (AOV) of $650-675 and a conversion rate of 2.00-2.50%. In stark contrast, sears.com achieved substantial revenue of $2,562,486 through 27,938 transactions across 1,017,004 sessions, with a lower AOV of $75-100 and a conversion rate of 2.50-3.00%. floydhome.com, while generating $1,460,717 from 1,478 transactions and 161,148 sessions, boasted a higher AOV of $975-1000 but had a conversion rate of just 0.50-1.00%. article.com dominated the metrics with $44,746,176 in revenue from 49,879 transactions over 5,041,554 sessions, showing an AOV of $875-900 and a similarly low conversion rate of 0.50-1.00%. Overall, loose.parts stands out with its AOV despite its significantly lower overall revenue and transaction volume.
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loose.parts channels
Identify top traffic channels that drive growth for loose.partsand discover how performance of traffic channels has changed over time.
loose.parts Google Ads spend
Evaluate loose.parts's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
loose.parts devices
Review loose.parts's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
