backpainhelp.com
Backpainhelp.com is a website that offers products and resources designed to assist individuals in managing and alleviating back pain. They sell a range of items such as braces, support cushions, exercise equipment, and books to provide comprehensive back pain solutions for those seeking relief and prevention.
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backpainhelp.com Annual Revenue and Growth
backpainhelp.com's annual sales on its online store amounted to $22.7K 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.
backpainhelp.com's monthly revenueOVER TIME
Over the past three months, backpainhelp.com revenue has experienced decline of 45%, compared to the preceding three months.
backpainhelp.com competitors
The most significant gap between backpainhelp.com and its competitor physioroom.com lies in revenue, with backpainhelp.com trailing by $242,000 in July 2026. physioroom.com leads with a substantial revenue of $243,000, while backpainhelp.com generated only $1,313. Additionally, backpainhelp.com ranks last among its peers, with only 6 transactions compared to physioroom.com’s impressive 2,601, a gap of 2,595 transactions. In terms of sessions, backpainhelp.com recorded 180, significantly lower than physioroom.com’s 82,800 sessions, trailing by 82,620. Although backpainhelp.com has a competitive conversion rate ranging from 3.00-3.50%, similar to physioroom.com’s rate, the sheer volume of transactions and sessions indicates that backpainhelp.com is struggling to compete effectively in this market.
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backpainhelp.com channels
Identify top traffic channels that drive growth for backpainhelp.comand discover how performance of traffic channels has changed over time.
backpainhelp.com Google Ads spend
Evaluate backpainhelp.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.
backpainhelp.com devices
Review backpainhelp.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
