bandier.com
Bandier.com is an online platform offering an array of products for fitness enthusiasts and athleisure seekers. They sell an extensive range of activewear, including leggings, sports bras, tops, and accessories. The site also features exclusive collaborations with renowned designers and brands. It provides an enhanced shopping experience for all fitness and fashion enthusiasts.
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bandier.com's revenueOVER TIME
Over the past three months, bandier.com revenue has experienced decline of 83%, compared to the preceding three months.
bandier.com competitors
In May 2025, bandier.com faces stiff competition from its rivals in the activewear and athleisure market. beyondyoga.com stands out with a substantial revenue of $6,422,517 generated from 29,299 transactions and over 1 million sessions. Their average order value (AOV) ranges between $200-$225, coupled with a high conversion rate of 2.50-3.00%. on-running.com dominates with an impressive revenue of $8,500,333 from 46,239 transactions and 468,983 sessions. Their AOV falls within the range of $175-$200, with an exceptional conversion rate of 9.50-10.00%. carbon38.com also presents a formidable challenge with revenue of $1,166,472, derived from 4,184 transactions and 84,341 sessions, boasting a high AOV of $275-$300 and a conversion rate of 4.50-5.00%. bandier.com will need to leverage its unique offerings and optimize its metrics to stay competitive in this dynamic market.
Revenue share by device at bandier.com
In May large majority of sales on bandier.com, 52% was finalized on desktop devices, with 48% of sales coming from mobile devices.
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bandier.com channels
Identify top traffic channels that drive growth for bandier.comand discover how performance of traffic channels has changed over time.
bandier.com Google Ads spend
Evaluate bandier.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.
bandier.com devices
Review bandier.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
