[HEALTH TECH] Fitbit Aria

Along with the numerous activity trackers currently available from Fitbit, there is one tracking device too large to fit on your wrist. The Fitbit Aria Wi-Fi enabled smart scales provide an additional facet to the Fitbit service which has more recently been challenged by the likes of iFit, Polar and Under Armour and mimicry is the highest form of flattery.

Build & Appearance

On unboxing the Fitbit Aria smart scales, the first thing we noticed was their compact and very aesthetic appearance with their black glass top surface and c.3 inch brushed aluminium ring surrounding an illuminated (white characters on black background) LCD screen providing live measurement and sync status. It should be noted that black is not the only colour available as there is also a white option, with the same display, but with a standard LCD black characters on a grey background screen.


Our favourite functionality provided by the Fitbit Aria smart scales is their Wi-Fi connectivity, removing the need for a mobile phone as a middle man in the synchronisation process, unlike with the Fitbit activity tracker range. Initial set-up of Fitbit Aria smart scales was quick and simple requiring a computer with the set-up software and the Wi-Fi password for the Wi-Fi modem/router.

Along with setting up the Wi-FI connection for the Fitbit Aria smart scales you can also set them for athletic (lean) or non-athletic (more body fat) physique as the scales calculate the percentage body fat based on low current passed through the legs making a circuit through your feet. This can only truly assess the fat levels in the legs a clinical formula does the rest with the help of the athletic/non-athletic toggle.

Once initial set-up was complete the Fitbit Aria smart scales sit in a low power mode, waking to measure your weight and calculate percentage body fat (based on electrical current measurement) when stepped upon. Once measurement Is complete, this information is automatically uploaded to the Fitbit cloud based service where the information can be viewed along with previous measurements to assess your progress towards your weight goal. Once on the Fitbit cloud based service the information can also be viewed from within the Fitbit app on iOS, Android and Windows (Windows, Windows Phone and Windows 10 Mobile).

As well as providing the easiest form of weight tracking we have yet to test, the data captured by the Fitbit Aria smart scales is displayed alongside the data (steps, distance, floors climbed, heart rate, active hours & sleep) captured by the Fitbit tracker range to provide a rounded fitness tracking eco-system.

Another nice tough is that the scales will automatically identify up to eight people and upload there details to the respective Fitbit accounts. This data can be set to public or private for the weight sensitive.

The only negative about the Fitbit Aria scales is that they do not calculate ‘total bone mass’ and ‘percentage water’ like the BlueAnatomy scales we reviewed at the end of 2015.


We have been impressed with both the price (£99.99) and functionality of the Fitbit Aria scales, with its Wi-Fi connectivity and automatic cloud upload. The only down side is the lack of ‘total bone mass’ and ‘percent water’ calculations provided by the previously reviewed BlueAnatomy scales. This is outweighed by the lack of the need for a mobile phone for synchronisation and its embedment into the Fitbit ecosystem.

In short, we love the Fitbit Aria WiFi scales, with our only real issue being that we wish that the measured weight was lower, but that is down to us and not the scales themselves.

Verdict **** (4/5)

Build & Appearance**** (4/5)

Solid, compact build with sleek appearance in both black and white.

Functionality**** (4/5)

Wi-Fi enabled Step on, step off and walk away automated weight tracking system able to auto-detect and log up to eight different users and auto-sync measurements to the cloud based Fitbit ecosystem.

Affordability *** (3/5)

At £99.99 the Fitbit Aria smart scales are well position against the competition.

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