newdigzconsignment.com
new digz consignment specializes in new and pre-loved mid-to-luxury womens apparel, shoes, handbags and accessories 50-70% below retail.
GRIPS CUSTOMERS & RESEARCH PARTNERS
newdigzconsignment.com's monthly revenueOVER TIME
Over the past three months, newdigzconsignment.com revenue has experienced growth of 18%, compared to the preceding three months.
newdigzconsignment.com competitors
In September 2025, newdigzconsignment.com reported revenue of $8,588 with 60 transactions and 1,765 sessions, boasting an average order value (AOV) of $125-150 and a conversion rate of 3.00-3.50%. Comparing this to its competitors, keds.com stands out with revenue of $606,836, 7,903 transactions, and 508,947 sessions, with an AOV of $75-100 and a conversion rate of 1.50-2.00%. riflepaperco.com had even higher revenue at $2,212,214, 18,302 transactions, and 781,930 sessions, with an AOV of $100-125 and a conversion rate of 2.00-2.50%. Lastly, tbcconsignment.com falls behind with revenue of $48,933, 123 transactions, and 5,199 sessions, but boasts a higher AOV of $375-400 and a similar conversion rate of 2.00-2.50%. Overall, newdigzconsignment.com may have lower revenue and transactions compared to some competitors, but it excels in AOV and conversion rate.
Revenue share by device at newdigzconsignment.com
In September large majority of sales on newdigzconsignment.com, 88% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 12% of sales coming from desktop devices.
Gain even more insights with the Grips app
newdigzconsignment.com channels
Identify top traffic channels that drive growth for newdigzconsignment.comand discover how performance of traffic channels has changed over time.
newdigzconsignment.com Google Ads spend
Evaluate newdigzconsignment.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.
newdigzconsignment.com devices
Review newdigzconsignment.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
