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 5-10%. 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 55%, compared to the preceding three months.
lifestylestores.com competitors
In January 2026, lifestylestores.com had a revenue of $712,933 with 17,560 transactions and 2,752,456 sessions, resulting in an average order value (AOV) of $25-50 and a conversion rate of 0.50-1.00%. Compared to its competitors, lifestylestores.com falls behind in terms of revenue when compared to puma.com ($41,476,385) and H&M ($133,995,744). However, lifestylestores.com performs better in terms of AOV when compared to maxfashion.in ($0-25) and fastrack.in ($0-25). Additionally, lifestylestores.com's conversion rate falls within the middle range when compared to its competitors. Overall, lifestylestores.com shows potential for growth in revenue and sessions to catch up to competitors like Puma and H&M while maintaining a competitive AOV and conversion rate compared to others like Max Fashion and Fastrack.
Revenue share by device at lifestylestores.com
In January large majority of sales on lifestylestores.com, 84% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 16% of sales coming from desktop devices.
Gain even more insights with the Grips app
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.
