newportlampandshade.com
lampshades, lamp shades, fermoie, penny morrison, amanda lindroth, simon pearce, dempsey & carroll, ikat lampshades, christopher spitzmiller, patterned lampshades, paper lampshades
GRIPS CUSTOMERS & RESEARCH PARTNERS
newportlampandshade.com's monthly revenueOVER TIME
Over the past three months, newportlampandshade.com revenue has experienced decline of 28%, compared to the preceding three months.
newportlampandshade.com competitors
In October 2025, Newport Lamp and Shade reported a revenue of $54,692 with 197 transactions and 7,799 sessions, resulting in an average order value (AOV) of $275-$300 and a conversion rate of 2.50-3.00%. Comparing this data to its competitors, christopherspitzmiller.com had a lower revenue of $30,299 with 73 transactions and 2,778 sessions, but a higher AOV of $400-$425. justlampshades.com outperformed Newport Lamp and Shade with a revenue of $96,243, 187 transactions, and 15,466 sessions, along with a higher AOV of $500-$525. However, krbnyc.com surpassed them all with a revenue of $295,749, 401 transactions, and 15,317 sessions, boasting the highest AOV of $725-$750. While Newport Lamp and Shade falls in the middle in terms of revenue, its conversion rate remains competitive with some of its rivals, showing potential for growth in the future.
Revenue share by device at newportlampandshade.com
In October large majority of sales on newportlampandshade.com, 88% was finalized on desktop devices, with 12% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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newportlampandshade.com channels
Identify top traffic channels that drive growth for newportlampandshade.comand discover how performance of traffic channels has changed over time.
newportlampandshade.com Google Ads spend
Evaluate newportlampandshade.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.
newportlampandshade.com devices
Review newportlampandshade.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
