gratefulapparel.com
The website gratefulapparel.com offers a range of clothing products. Their inventory includes various apparel items such as t-shirts, hoodies, hats, and accessories. Their collection aims to cater to different fashion preferences, featuring a diverse array of designs, colors, and styles for customers to choose from.
GRIPS CUSTOMERS & RESEARCH PARTNERS
gratefulapparel.com's revenueOVER TIME
Over the past three months, gratefulapparel.com revenue has experienced decline of 4.2%, compared to the preceding three months.
gratefulapparel.com competitors
In July 2025, gratefulapparel.com generated a revenue of $21,960 with 171 transactions and 7,085 sessions, boasting an average order value (AOV) of $125-150 and a conversion rate of 2.00-2.50%. In comparison, its competitor shoplovebubby.com reported a revenue of $1,596 from 13 transactions and 708 sessions, with a similar AOV of $125-150 but a slightly lower conversion rate of 1.50-2.00%. While gratefulapparel.com leads in terms of revenue, transactions, sessions, and conversion rate, both companies share a comparable AOV range. However, gratefulapparel.com demonstrates stronger overall performance based on the provided metrics, indicating a more successful online presence and customer engagement than shoplovebubby.com in the same period.
Revenue share by device at gratefulapparel.com
In July large majority of sales on gratefulapparel.com, 62% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 38% of sales coming from desktop devices.
Gain even more insights with the Grips app
gratefulapparel.com channels
Identify top traffic channels that drive growth for gratefulapparel.comand discover how performance of traffic channels has changed over time.
gratefulapparel.com Google Ads spend
Evaluate gratefulapparel.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.
gratefulapparel.com devices
Review gratefulapparel.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
