philips-hue.com
Explore Philips Hue smart lights! White and color smart LEDs lets you set the best light for daily routines and special moments.
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philips-hue.com Annual Revenue and Growth
philips-hue.com's annual sales on its online store amounted to $109.6M in 2025, up 50%+ from the previous year. For 2026, revenue is expected to grow by 20-50%. The trend is expected to moderate.
philips-hue.com's monthly revenueOVER TIME
Over the past three months, philips-hue.com revenue has experienced decline of 4.7%, compared to the preceding three months.
philips-hue.com competitors
The revenue gap between philips-hue.com and tink.de is a staggering $7.2 million. In July 2026, philips-hue.com generated $8.8 million from 58,600 transactions, significantly outperforming tink.de, which earned $1.6 million from only 6,630 transactions. Sessions also show a clear disparity, with philips-hue.com attracting 3.3 million sessions compared to tink.de’s 307,000—an impressive lead of 3 million. Although tink.de boasts a higher average order value (AOV) of $225-250 compared to philips-hue.com’s $150-175, it cannot compensate for the substantial volume and revenue differences. Other competitors like light11.de, with $413,000 revenue and 666 transactions, also fall significantly behind philips-hue.com in all key metrics, further establishing its dominance in the market.
Revenue share by device at philips-hue.com
In July large majority of sales on philips-hue.com, 63% was finalized on desktop devices, with 37% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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philips-hue.com channels
Identify top traffic channels that drive growth for philips-hue.comand discover how performance of traffic channels has changed over time.
philips-hue.com Google Ads spend
Evaluate philips-hue.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.
philips-hue.com devices
Review philips-hue.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
