Metric
A metric is a quantitative measurement represented as a number.
Metrics describe amounts, rates, durations, sizes, or other values that can be measured.
Common Examples
Analytics metrics can include:
- Sessions
- Users
- Event count
- Conversion rate
- Revenue
- Average engagement time
- Downloads
- Form submissions
Metrics also appear outside traditional analytics.
Largest Contentful Paint, Interaction to Next Paint, and Cumulative Layout Shift are performance metrics within Core Web Vitals.
Metric vs. Dimension
A metric usually answers:
How much?
A dimension usually answers:
Which kind?
For example:
Metric: 120 enquiries Dimension: Tourism & Hospitality
Together:
Tourism & Hospitality generated 120 enquiries.
The dimension gives the metric context.
Why It Matters
Metrics make behaviour measurable, but a number rarely explains itself.
A change in sessions, revenue, or engagement can have many causes.
Useful analysis usually combines metrics with dimensions, historical context, benchmarks, and knowledge of what changed in the real system.
Common Problems
Common problems include:
- Treating metrics as explanations
- Reporting numbers without context
- Comparing differently defined metrics
- Focusing on percentage change from very small samples
- Choosing visually impressive metrics instead of useful ones
- Calling every metric a KPI
How to Improve
Define what the metric represents and how it is calculated.
Then pair it with dimensions and a meaningful comparison.
Ask what decision would change if the metric moved significantly.
If the answer is “none,” the metric probably does not need much reporting attention.