midheavendenim.com
a line of jeans for tall women, plain and simple. after spending years in the modeling industry, kathryn boyd brolin recognized a niche of women who, like her, were troubled by the lack of inseams long enough to fit their lengthy frames. her search was accompanied by many frustrated hours spent trying on pair after pa
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midheavendenim.com Annual Revenue and Growth
midheavendenim.com's annual sales on its online store amounted to $88.1K 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.
midheavendenim.com's monthly revenueOVER TIME
Over the past three months, midheavendenim.com revenue has experienced decline of 15%, compared to the preceding three months.
midheavendenim.com competitors
In June 2026, midheavendenim.com outperformed its competitor, shoptallulahlou.com, significantly in terms of revenue and overall engagement. midheavendenim.com generated $46,243 from 135 transactions and achieved 9,003 sessions, resulting in an Average Order Value (AOV) of $325-350 and a conversion rate between 1.00-1.50%. In stark contrast, shoptallulahlou.com reported only $4,961 in revenue from 27 transactions, with a mere 1,970 sessions, resulting in a much lower AOV of $175-200 and the same conversion rate range of 1.00-1.50%. This stark disparity in revenue and engagement metrics suggests that midheavendenim.com holds a more substantial market presence, likely driven by a stronger brand or product appeal within the denim niche compared to shoptallulahlou.com.
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midheavendenim.com channels
Identify top traffic channels that drive growth for midheavendenim.comand discover how performance of traffic channels has changed over time.
midheavendenim.com Google Ads spend
Evaluate midheavendenim.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.
midheavendenim.com devices
Review midheavendenim.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
