mac.bid
Mac.bid is a website that offers various Mac products for sale. The site provides a range of Apple computers, laptops, tablets, accessories, and software solutions. Customers can explore a vast selection of Mac-specific items and make purchases directly on the platform.
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mac.bid Annual Revenue and Growth
mac.bid's annual sales on its online store amounted to $198.5M in 2025, up 20-50% from the previous year. For 2026, revenue is expected to grow by 5-10%. The trend is expected to moderate.
mac.bid's monthly revenueOVER TIME
Over the past three months, mac.bid revenue has experienced decline of 10%, compared to the preceding three months.
mac.bid competitors
In July 2026, mac.bid trails its competitor estatesales.org in revenue, generating $17.5 million compared to estatesales.org's $17.8 million, a gap of $300,000. However, mac.bid excels in transactions, achieving 186,000, which is 131,000 more than estatesales.org's 54,900. Furthermore, mac.bid also leads in sessions, attracting 3 million users, a significant increase of 1.4 million over estatesales.org's 1.6 million. While the average order value (AOV) for mac.bid ranges between $75-100, estatesales.org has a notably higher AOV of $300-325. Despite the revenue shortfall, mac.bid's stronger transaction and session metrics highlight its efficiency in converting traffic into sales, showcasing a distinct advantage in engagement over estatesales.org.
Revenue share by device at mac.bid
In July large majority of sales on mac.bid, 66% was finalized on desktop devices, with 34% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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mac.bid channels
Identify top traffic channels that drive growth for mac.bidand discover how performance of traffic channels has changed over time.
mac.bid Google Ads spend
Evaluate mac.bid's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
mac.bid devices
Review mac.bid's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
