bootleggerbikes.com
bootlegger bikes is a small, full service bike shop near smugglers notch in jeffersonville, vermont that serves the jeffersonville, cambridge, fletcher, fairfax, johnson, underhill, jericho, and surrounding areas.
GRIPS CUSTOMERS & RESEARCH PARTNERS
bootleggerbikes.com's revenueOVER TIME
Over the past three months, bootleggerbikes.com revenue has experienced growth of 17%, compared to the preceding three months.
bootleggerbikes.com competitors
In May 2025, bootleggerbikes.com falls behind its competitors in terms of revenue, with a total of $31,230 compared to the leading competitor salsacycles.com at $2,014,561. However, bootleggerbikes.com has a higher average order value (AOV) range of $550-575 compared to most of its competitors, with only huckleberrybikes.com surpassing it at $1100-1125. bootleggerbikes.com also has a competitive conversion rate of 2.00-2.50%, which puts it ahead of analogcycles.com and jonesbikes.com but slightly behind salsacycles.com. In terms of transactions and sessions, bootleggerbikes.com has 56 transactions and 2,675 sessions, placing it in the mid-range among its competitors. Overall, bootleggerbikes.com holds its own in AOV and conversion rate, but may need to focus on increasing revenue and attracting more sessions to compete with the top performers in the industry.
Revenue share by device at bootleggerbikes.com
In May large majority of sales on bootleggerbikes.com, 56% was finalized on desktop devices, with 44% of sales coming from mobile devices.
Gain even more insights with the Grips app
bootleggerbikes.com channels
Identify top traffic channels that drive growth for bootleggerbikes.comand discover how performance of traffic channels has changed over time.
bootleggerbikes.com Google Ads spend
Evaluate bootleggerbikes.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.
bootleggerbikes.com devices
Review bootleggerbikes.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
