GRIPS CUSTOMERS & RESEARCH PARTNERS
lifestylestores.com Annual Revenue and Growth
lifestylestores.com's annual sales on its online store amounted to $7.4M in 2025, down 10-20% from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
lifestylestores.com's monthly revenueOVER TIME
Over the past three months, lifestylestores.com revenue has experienced growth of 65%, compared to the preceding three months.
lifestylestores.com competitors
In July 2026, lifestylestores.com trails its competitors significantly in terms of sessions, with only 2.4 million compared to hm.com’s impressive 111.7 million, a gap of 109.3 million. While lifestylestores.com has a revenue of $831,000 and a conversion rate ranging from 0.50-1.00%, it ranks fourth among its competitors, behind maxfashion.in, which earns $891,000, and fastrack.in, which boasts a conversion rate between 2.00-2.50%. In transactions, lifestylestores.com records 16,800, lagging far behind hm.com’s staggering 3.2 million, trailing by 3.2 million. The average order value (AOV) for lifestylestores.com is $25-50, similar to that of faballey.com, which at $80,800 ranks fifth in revenue. Overall, lifestylestores.com faces challenges in attracting and converting visitors compared to its more established competitors.
Revenue share by device at lifestylestores.com
In July large majority of sales on lifestylestores.com, 86% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 14% of sales coming from desktop devices.
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lifestylestores.com channels
Identify top traffic channels that drive growth for lifestylestores.comand discover how performance of traffic channels has changed over time.
lifestylestores.com Google Ads spend
Evaluate lifestylestores.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.
lifestylestores.com devices
Review lifestylestores.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
