GRIPS CUSTOMERS & RESEARCH PARTNERS
gentealapparel.com Annual Revenue and Growth
gentealapparel.com's annual sales on its online store amounted to $814.5K in 2025, down 0-5% from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to accelerate.
gentealapparel.com's monthly revenueOVER TIME
Over the past three months, gentealapparel.com revenue has experienced decline of 47%, compared to the preceding three months.
gentealapparel.com competitors
In March 2026, gentealapparel.com outperformed its competitors in terms of revenue, with $37,044 compared to the closest competitor, livsndesigns.com, with $111,173. However, when looking at the number of transactions, livsndesigns.com had the highest with 666, followed by gentealapparel.com with 180. In sessions, livsndesigns.com also led the pack with 15,584 sessions, while gentealapparel.com had 7,784 sessions. The average order value (AOV) for gentealapparel.com ranged between $200-$225, falling between the competitors' AOV range. In terms of conversion rates, livsndesigns.com had the highest at 4.00-4.50%, while gentealapparel.com had a conversion rate of 2.00-2.50%, placing it above most competitors in this metric. Overall, while gentealapparel.com had a strong showing in revenue and conversion rates, it lagged behind livsndesigns.com in transactions and sessions.
Revenue share by device at gentealapparel.com
In March large majority of sales on gentealapparel.com, 91% was finalized on desktop devices, with 8.6% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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gentealapparel.com channels
Identify top traffic channels that drive growth for gentealapparel.comand discover how performance of traffic channels has changed over time.
gentealapparel.com Google Ads spend
Evaluate gentealapparel.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.
gentealapparel.com devices
Review gentealapparel.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
