discountfilterstore.com
Find discount filters for air, water, refrigerator, pool & spa, and more. Original brands like Kenmore, Culligan, LG filters & more. Ships free at $59
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discountfilterstore.com's monthly revenueOVER TIME
Over the past three months, discountfilterstore.com revenue has experienced growth of 4.8%, compared to the preceding three months.
discountfilterstore.com competitors
When comparing discountfilterstore.com to its competitors in December 2025, we see that discountfilterstore.com generated $243,906 in revenue from 1,124 transactions and 41,597 sessions, with an average order value (AOV) of $200-225 and a conversion rate of 2.50-3.00%. In contrast, discountfilters.com led the pack with $3,350,482 in revenue, 23,815 transactions, and 421,407 sessions, boasting a higher conversion rate of 5.50-6.00% despite a lower AOV of $125-150. waterfilters.net followed with $61,213 in revenue, 248 transactions, and 16,646 sessions, while filtersfast.com generated $2,028,823 in revenue with 8,875 transactions and 284,696 sessions, showcasing a similar AOV and conversion rate to discountfilterstore.com. waterfiltersfast.com and filterbuy.com also performed well, but discountfilterstore.com stood out for its balanced metrics and competitive positioning within the market.
Revenue share by device at discountfilterstore.com
In December large majority of sales on discountfilterstore.com, 77% was finalized on desktop devices, with 23% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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discountfilterstore.com channels
Identify top traffic channels that drive growth for discountfilterstore.comand discover how performance of traffic channels has changed over time.
discountfilterstore.com Google Ads spend
Evaluate discountfilterstore.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.
discountfilterstore.com devices
Review discountfilterstore.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
