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Web Analytics

Analytics metric: definition and examples

Guillaume Sallé
Guillaume Sallé
Analytics Content & Glossary Lead

Updated on February 22, 2026

Quick definition

A metric is a measurable numerical value that quantifies a performance or behaviour within your web analytics, such as the number of sessions, the conversion rate or the average visit duration. Metrics are always contextualised by dimensions to produce actionable analyses.

How it works

In web analytics, a metric is any numerical value that measures an aspect of user behaviour or site performance.

We distinguish two types of metrics:

  • Raw metrics: absolute counts (e.g. 5,000 sessions, 15,000 pageviews)
  • Computed metrics: ratios or averages derived from other metrics (e.g. a 3.2% conversion rate, pages per session of 3.5)

Metrics only make sense in context: 5,000 sessions per day can be excellent for a niche B2B site and disappointing for a major media outlet. That is why they are always associated with analytics dimensions (per page, per traffic source, per country) and historical benchmarks.

It is crucial to distinguish actionable metrics from vanity metrics — flattering but barely significant figures (follower counts, raw page views) that can mask real problems.

Why it matters

Metrics are the common language between marketing, product and leadership teams. They allow teams to:

  • Objectively measure progress toward goals
  • Identify performance problems
  • Justify investments with factual data

Without reliable metrics, decisions rely on intuition rather than data. Choosing the right metrics — those that genuinely reflect your business objectives — is the first condition for an effective data-driven approach.

How to improve or use it

  1. 1Identify metrics tied to your business goals and discard vanity metrics.
  2. 2Set alert thresholds to be notified as soon as a key metric departs from its usual value.
  3. 3Use segmentation metrics to compare performance between user groups.
  4. 4Standardise definitions across the team to avoid misunderstandings in reporting meetings.
  5. 5Combine quantitative and qualitative metrics for a complete view of performance.

With Sublim

Sublim provides a dashboard centred on essential metrics — sessions, pageviews, bounce rate, conversions — without invasive tracking. As a GDPR-compliant alternative to GA4, Sublim collects accurate data without cookies and without sampling, so your metrics faithfully reflect reality.

Frequently asked questions

What is the difference between a metric and a KPI?

Not all metrics are KPIs. A KPI (Key Performance Indicator) is a metric strategically chosen to measure progress toward a precise goal. The number of page views is a metric; the conversion rate to sign-up is a KPI.

What is a computed metric?

A computed metric is a value derived from other metrics via a formula, such as revenue per session (total revenue / number of sessions). Most analytics tools let you create custom computed metrics adapted to your business.

How can I avoid vanity metrics?

Ask yourself whether the metric drives concrete action. The number of followers is a vanity metric if it isn't tied to a conversion goal. Prefer actionable metrics like the click-through rate from social to your site or the conversion rate of visitors from those channels.

Related terms

Analytics metric: definition and examples, Sublim | Sublim Analytics