panashindia.com
Panashindia.com is an online platform that specializes in selling a wide range of ethnic Indian attire. Their diverse collection includes designer sarees, lehengas, salwar suits, and gowns, available in various fabrics, styles, and intricate embroideries. The website also offers accessories and jewelry to complement the outfits.
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panashindia.com's revenueOVER TIME
Over the past three months, panashindia.com revenue has experienced decline of 27%, compared to the preceding three months.
panashindia.com competitors
In July 2025, panashindia.com lagged behind its competitors in terms of revenue, transactions, sessions, and average order value (AOV). While panashindia.com generated $17,684 in revenue from 126 transactions and 110,803 sessions with an AOV of $125-150, its competitors showed stronger performance. For example, andaazfashion.com recorded $944,081 in revenue from 6,571 transactions and 244,223 sessions with a similar AOV range of $125-150 but a much higher conversion rate of 2.50-3.00. kalkifashion.com led the pack with $3,974,600 in revenue from 11,592 transactions and 1,199,266 sessions, boasting a higher AOV of $325-350 and a conversion rate of 0.50-1.00. panashindia.com could improve its performance by focusing on increasing conversions and sessions to compete more effectively in the online fashion market.
Revenue share by device at panashindia.com
In July large majority of sales on panashindia.com, 84% was finalized on desktop devices, with 16% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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panashindia.com channels
Identify top traffic channels that drive growth for panashindia.comand discover how performance of traffic channels has changed over time.
panashindia.com Google Ads spend
Evaluate panashindia.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.
panashindia.com devices
Review panashindia.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
