Ride data, such as distance, average speed and ETA might seem like straightforward measurements. However, the algorithms and methodologies used by different navigation apps and other health-tracking apps can lead to noticeable discrepancies.
We can understand the want for this data to be consistent between your health monitoring apps; whilst this is not always the case, we are trying to ensure our customers get the most accurate ride data possible.
Data Processing Breakdown:
We understand it can be a little puzzling when your Beeline ride stats don't quite match up with what you were anticipating, but we do have a few reasons as to why this might be the case.
Our devices often feature an auto-pause function, which smartly pauses your ride recording when you come to a stop. This is particularly handy when you're waiting at traffic lights, taking a quick breather, or snapping a scenic photo.
How it works: This feature calculates your "moving time," which is the time you're actually in motion.
What it means: If you make frequent stops, your "moving time" will be shorter than the total time you were out. This difference can lead to discrepancies when comparing Beeline's data to other apps that record total elapsed time.
The effect of GPS and Location:
GPS, while wonderfully accurate, isn't always perfect. Factors like tall buildings, dense foliage, and even weather can sometimes interfere with the signal, leading to minor variations in location and distance.
Phone Influences: GPS accuracy can vary due to the make and model of your phone and any battery-saving settings and app permissions that you have set up. To make sure that you phone is giving you the best chances, have a look at our support article on this here.
Mobile Data: Beeline relies on your smartphone's GPS. Weak or intermittent signals can cause inaccuracies in route tracking and rerouting.
Map Data: Map data, while generally reliable, can sometimes have slight discrepancies.
Fitness Stats:
The Beeline app can be integrated with fitness tracking features, such as Strava and Apple Health. However, these features might prioritize metrics like average speed, distance, and elevation gain over precise total time.
Algorithm Influence: Fitness-related algorithms can influence how ride data is processed, leading to variations in time and distance calculations. For example, taking the total time versus the time ridden.
Calories calculation: The Beeline app and devices do not provide calorie expenditure tracking. This is due to the fact that we do not have access to our user's personal data, including weight, height, heart rate, or power output during their ride. Consequently, we are unable to provide an accurate measurement of calories burned.
We hope this sheds some light on why your Beeline ride stats might differ from your expectations. As always, our support team is here to help if you have any further questions. Happy riding!