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 27%, compared to the preceding three months.
philips-hue.com competitors
In June 2026, philips-hue.com outperformed its competitors significantly, achieving a revenue of $7,059,614 from 47,561 transactions across 2,968,094 sessions, yielding an average order value (AOV) between $125 and $150 and a conversion rate of 1.50-2.00%. In contrast, tink.de generated $1,318,058 with 5,922 transactions, an AOV of $200-225, and a similar conversion rate. light11.de lagged behind, earning $443,387 from only 734 transactions despite a high AOV of $600-625 and a conversion rate of 1.00-1.50%. Smaller competitors like led-centrum.de and leds.de recorded revenues of $98,611 and $59,213, respectively, with conversion rates of 1.50-2.00% and 2.50-3.00%. Overall, philips-hue.com stands out as a leader in the smart lighting market, showcasing a robust performance relative to its rivals.
Revenue share by device at philips-hue.com
In June 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.
