philipstein.com
Philipstein.com is an online platform that sells a range of products. Their inventory consists of various wellness accessories such as watches, bracelets, and other devices. These items are designed to promote well-being, stress reduction, and balance. The website offers a seamless shopping experience to customers seeking such products.
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philipstein.com's revenueOVER TIME
Over the past three months, philipstein.com revenue has experienced decline of 50%, compared to the preceding three months.
philipstein.com competitors
In August 2025, philipstein.com had a revenue of $21,109 with 43 transactions and 26,019 sessions. The Average Order Value (AOV) ranged from $475 to $500, and the conversion rate was between 0.00% and 0.50%. Compared to its competitors, philipstein.com lagged behind in revenue, transactions, and sessions. For example, kaysfinejewelry.com generated $98,319 in revenue with 429 transactions and 20,984 sessions. The AOV was between $225 and $250, and the conversion rate ranged from 2.00% to 2.50%. Similarly, skagen.com outperformed philipstein.com with $575,845 in revenue, 3,669 transactions, and 229,037 sessions. The AOV was between $150 and $175, and the conversion rate ranged from 1.50% to 2.00%. Overall, philipstein.com faced stiff competition from other online retailers in the jewelry and accessories industry.
Revenue share by device at philipstein.com
In August large majority of sales on philipstein.com, 56% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 44% of sales coming from desktop devices.
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philipstein.com channels
Identify top traffic channels that drive growth for philipstein.comand discover how performance of traffic channels has changed over time.
philipstein.com Google Ads spend
Evaluate philipstein.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.
philipstein.com devices
Review philipstein.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
