mobilehelp.com
MobileHelp.com is a website that offers a range of mobile medical alert devices designed to provide peace of mind and safety for individuals in need. Their products include emergency response systems equipped with GPS tracking, allowing users to get help quickly and easily in case of medical emergencies.
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mobilehelp.com's revenueOVER TIME
Over the past three months, mobilehelp.com revenue has experienced decline of 9.9%, compared to the preceding three months.
mobilehelp.com competitors
In July 2025, mobilehelp.com stands out among its competitors with a revenue of $369,771 from 993 transactions and 56,857 sessions, resulting in an Average Order Value (AOV) range of $350-375 and a conversion rate of 1.50-2.00%. In comparison, americanmedical-id.com generated $208,628 revenue from 2,421 transactions and 90,841 sessions, with an AOV of $75-100 and a higher conversion rate of 2.50-3.00%. medicalcarealert.com had a lower revenue of $12,361 from 118 transactions and 18,083 sessions, an AOV of $100-125, and a conversion rate of 0.50-1.00%. roadid.com, with $71,261 revenue from 2,351 transactions and 166,800 sessions, had the lowest AOV of $25-50 but a conversion rate of 1.00-1.50%. Despite mobilehelp.com's strong performance, americanmedical-id.com leads in conversion rate, while medicalcarealert.com has the highest AOV among the competitors.
Revenue share by device at mobilehelp.com
In July large majority of sales on mobilehelp.com, 50% was finalized on desktop devices, with 50% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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mobilehelp.com channels
Identify top traffic channels that drive growth for mobilehelp.comand discover how performance of traffic channels has changed over time.
mobilehelp.com Google Ads spend
Evaluate mobilehelp.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.
mobilehelp.com devices
Review mobilehelp.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
