GRIPS CUSTOMERS & RESEARCH PARTNERS
lifestylestores.com Annual Revenue and Growth
lifestylestores.com's annual sales on its online store amounted to $8.7M in 2024, down 10-20% from the previous year. For 2025, revenue is expected to decline by 10-20%. The trend is expected to moderate.
lifestylestores.com's monthly revenueOVER TIME
Over the past three months, lifestylestores.com revenue has experienced growth of 85%, compared to the preceding three months.
lifestylestores.com competitors
When comparing lifestylestores.com to its competitors in December 2025, we see that it falls in the mid-range in terms of revenue at $787,432. In terms of transactions, lifestylestores.com had 19,594, which is lower compared to some competitors like maxfashion.in with 51,556 transactions. Sessions wise, lifestylestores.com had 2,777,385, which is also lower than competitors like puma.com with 30,904,339 sessions. The average order value (AOV) for lifestylestores.com ranges from $25-50, putting it in line with some competitors like faballey.com. However, lifestylestores.com has a conversion rate of 0.50-1.00%, which is lower than many of its competitors like fastrack.in and hm.com, who have conversion rates ranging from 2.00-2.50%. Overall, lifestylestores.com may need to focus on increasing its conversion rate and sessions to better compete with its rivals.
Revenue share by device at lifestylestores.com
In December large majority of sales on lifestylestores.com, 82% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 18% 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.
