hi-hyperlite.com
Hi-hyperlite.com is an e-commerce website offering a wide range of products. Their inventory mainly consists of high-quality items such as clothing, accessories, electronics, and home goods. The website has a user-friendly interface and provides a convenient platform for customers to purchase various goods.
GRIPS CUSTOMERS & RESEARCH PARTNERS
hi-hyperlite.com's revenueOVER TIME
Over the past three months, hi-hyperlite.com revenue has experienced decline of 12%, compared to the preceding three months.
hi-hyperlite.com competitors
In May 2025, hi-hyperlite.com, with a revenue of $245,952 from 674 transactions and 34,504 sessions, has an Average Order Value (AOV) of $350-375 and a conversion rate of 1.50-2.00%. Compared to its competitors, e-conolight.com leads with a revenue of $456,056 from 733 transactions and 47,597 sessions, with an AOV of $600-625 and a similar conversion rate. ledmyplace.com follows closely behind with $411,143 in revenue from 1,007 transactions and 67,289 sessions, boasting an AOV of $400-425. lightmart.com, with a revenue of $269,365 from 285 transactions and 41,046 sessions, has the highest AOV at $925-950 but a lower conversion rate. On the other hand, hykolity.com lags behind with a revenue of $44,856 from 147 transactions and 10,153 sessions, with an AOV of $300-325 and a conversion rate of 1.00-1.50%.
Revenue share by device at hi-hyperlite.com
In May large majority of sales on hi-hyperlite.com, 67% was finalized on desktop devices, with 33% of sales coming from mobile devices.
Gain even more insights with the Grips app
hi-hyperlite.com channels
Identify top traffic channels that drive growth for hi-hyperlite.comand discover how performance of traffic channels has changed over time.
hi-hyperlite.com Google Ads spend
Evaluate hi-hyperlite.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.
hi-hyperlite.com devices
Review hi-hyperlite.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
