laapparelstore.com
LAApparelStore.com sells a wide range of clothing items for men, women, and children. They offer trendy and fashionable apparel such as t-shirts, hoodies, dresses, and more. The website provides an extensive collection of clothing options catered to different preferences and ages.
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laapparelstore.com Annual Revenue and Growth
laapparelstore.com's annual sales on its online store amounted to $77.1K in 2025, down 50%+ from the previous year. For 2026, revenue is expected to grow by 50%+. This suggests a turnaround from last year's decline.
laapparelstore.com's monthly revenueOVER TIME
Over the past three months, laapparelstore.com revenue has experienced decline of 14%, compared to the preceding three months.
laapparelstore.com competitors
In January 2026, laapparelstore.com outperformed its competitors in terms of conversion rate, with a range of 1.00-1.50%. However, in terms of revenue, it lagged behind the competition with only $8,499. losangelesapparel.net led the pack with $2,471,630 in revenue, followed by lacausa.com with $19,459, and laspeedy.com with $3,861. The number of transactions and sessions also varied significantly among the competitors, with losangelesapparel.net having the highest numbers of both. When it comes to Average Order Value (AOV), laapparelstore.com falls within the middle range at $125-150, with lacausa.com leading at $225-250 and laspeedy.com at the lowest range of $25-50. Overall, laapparelstore.com showed strength in conversion rate but has room for improvement in revenue compared to its competitors.
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laapparelstore.com channels
Identify top traffic channels that drive growth for laapparelstore.comand discover how performance of traffic channels has changed over time.
laapparelstore.com Google Ads spend
Evaluate laapparelstore.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.
laapparelstore.com devices
Review laapparelstore.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
