neighborhood-store.com
blu dot + gus* modern furniture showroom i art gallery i accessories 2532 converse st, dallas, tx 75207 214-943-5650
GRIPS CUSTOMERS & RESEARCH PARTNERS
neighborhood-store.com Annual Revenue and Growth
neighborhood-store.com's annual sales on its online store amounted to $413.8K in 2025, down 10-20% from the previous year. For 2026, revenue is expected to decline by 10-20%. The trend is expected to moderate.
neighborhood-store.com's monthly revenueOVER TIME
Over the past three months, neighborhood-store.com revenue has experienced growth of 26%, compared to the preceding three months.
neighborhood-store.com competitors
In September 2026, neighborhood-store.com stands out with an average order value (AOV) of $625-650, which is competitive among its peers. However, it trails neighborhoodfiberco.com in transactions, which achieved 266, while neighborhood-store.com recorded 52. In terms of revenue, neighborhood-store.com generated $32,900, placing it fourth out of six competitors, significantly behind ftsny.com, which led with $66,000. neighborhood-store.com also ranks last in sessions, recording 2,070, far fewer than hausful.com, which had 9,479. Despite a conversion rate of 2.00-2.50%, similar to nickel-designs.com, it remains below neighborhoodfiberco.com's 2.50-3.00%, showcasing areas for potential growth.
Industries neighborhood-store.com operates in
neighborhood-store.com is tracked across 1 e-commerce industry. Explore market size, leading retailers and benchmarks for each.
Gain even more insights with the Grips app
neighborhood-store.com channels
Identify top traffic channels that drive growth for neighborhood-store.comand discover how performance of traffic channels has changed over time.
neighborhood-store.com Google Ads spend
Evaluate neighborhood-store.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.
neighborhood-store.com devices
Review neighborhood-store.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
