Filters
Currently, SpeedVitals RUM supports the following filters: Device Type, Stats Type, Data, and Custom Filters.
Device Type
- All
- Desktop
- Mobile
Stats Type
A percentile indicates a data point's position within a range. The 75th percentile (p75), for instance, indicates that 75% of the values fall below it.
75th percentile (p75)
It illustrates how well the metric is performing for the majorty of the users. If p75 LCP is 2.5 seconds, it means that 75% of users experienced LCP in 2.5 seconds or less. This is a good indicator of the overall user experience.
99th percentile (p99)
It indicates that 99% of the data is below this threshold. It focuses on the highest 1% of users' worst-case situations. Ideal for identifying problematic areas or outliers.
95th percentile (p95)
It indicates that 95% of the data falls below this threshold. It examines almost everyone's performance, except just the top 5% of outliers.
90th percentile (p90)
It indicates that 90% of the data falls below this threshold.
Mean (Average)
It divides the total number of data points by their sum. However, outliers (those extremely high or low values) have the potential to distort the average value.
50th percentile (Median)
The middle value, where half of the data is above and half is below it. It is less affected by outliers, making it a more reliable measure of central tendency in skewed distributions.
Date
The date filter allows you to filter and view data for a specifiv period of time. This feature helps analyze how your website or app performs on certain days, weeks, or months, giving insights into trends, spikes, or dips in the user experience.
Custom Filters
The following custom filters are available:
Hostname
Filters by subdomain.
Path
Filters by URL paths / pages.
Page Title
Filters by page title (e.g., "Home," "About").
Country
It uses a region-based analysis of performance.
OS
Divide the database of the user's OS (e.g., iOS, Windows, Android, macOS).
Browser
Break up of the users' Web browser (e.g., Chrome, Safari, Firefox)