styletrolley.com
carefully curated boutique of online womens clothing & accessories that id be proud to add to my very own wardrobe. style trolley embodies a modern, sophisticated lifestyle with a classic edge and impeccable, on-trend designs at affordable prices. free shipping. easy returns. excellent service.
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styletrolley.com's monthly revenueOVER TIME
Over the past three months, styletrolley.com revenue has experienced decline of 6.9%, compared to the preceding three months.
styletrolley.com competitors
In August 2025, styletrolley.com outperformed its competitors in terms of revenue with $4,713, surpassing forestbound.com with $3,575 and shopatgood.com with $3,642. However, styletrolley.com had fewer transactions at 38 compared to forestbound.com at 23 and shopatgood.com at 25. styletrolley.com had a decent number of sessions at 2,530, falling between forestbound.com at 2,816 and shopatgood.com at 1,552. The Average Order Value (AOV) for styletrolley.com ranged from $100-125, slightly lower than forestbound.com's $150-175 and similar to shopatgood.com's $125-150. styletrolley.com's conversion rate was in the range of 1.00-1.50%, on par with shopatgood.com at 1.50-2.00% but lower than forestbound.com at 0.50-1.00%. Despite having some areas of improvement, styletrolley.com displayed competitive performance within the online retail landscape in August 2025.
Revenue share by device at styletrolley.com
In August large majority of sales on styletrolley.com, 78% was finalized on desktop devices, with 22% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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styletrolley.com channels
Identify top traffic channels that drive growth for styletrolley.comand discover how performance of traffic channels has changed over time.
styletrolley.com Google Ads spend
Evaluate styletrolley.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.
styletrolley.com devices
Review styletrolley.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
