johnstonmurphy.com
Johnstonmurphy.com is an ecommerce platform that offers a range of mens and womens footwear, apparel, and accessories. The site features various styles of shoes, including dress shoes, boots, sneakers, and casual footwear. Additionally, it offers clothing items such as shirts, sweaters, jackets, and accessories like belts and wallets.
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johnstonmurphy.com's revenueOVER TIME
Over the past three months, johnstonmurphy.com revenue has experienced decline of 20%, compared to the preceding three months.
johnstonmurphy.com competitors
In May 2025, Johnston & Murphy's revenue of $2,925,572 from 16,315 transactions and 1,195,553 sessions puts it in the middle of the pack compared to its competitors. largefeet.com had significantly lower revenue at $15,718 from 70 transactions and 5,707 sessions, indicating a smaller market share. florsheim.com, with revenue of $833,636 from 4,705 transactions and 493,669 sessions, is a strong competitor with a similar average order value (AOV) to Johnston & Murphy. theshoemart.com had lower revenue at $70,970 but a higher AOV of $350-375, suggesting a niche market. allenedmonds.com was the closest competitor to Johnston & Murphy with revenue of $3,118,587 from 7,988 transactions and 1,097,746 sessions, along with a higher AOV of $375-400. Overall, Johnston & Murphy holds its own among its competitors in the online footwear market.
Revenue share by device at johnstonmurphy.com
In May large majority of sales on johnstonmurphy.com, 52% was finalized on mobile devices, with 48% of sales coming from desktop devices.
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johnstonmurphy.com channels
Identify top traffic channels that drive growth for johnstonmurphy.comand discover how performance of traffic channels has changed over time.
johnstonmurphy.com Google Ads spend
Evaluate johnstonmurphy.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.
johnstonmurphy.com devices
Review johnstonmurphy.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
