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DefinitionKPI

Conversion rate

Often abbreviated as CVR or CR, the conversion rate corresponds to the percentage of visitors who perform a desired action on a website, such as a transaction, a subscription, downloading a document, or submitting a form.

A key indicator that measures the proportion of visitors who have completed a desired action on a website or application. This action can be a transaction, a sign-up, the download of content, a contact request, or any other action defined as a conversion goal.

It is calculated using the following formula:
Conversion rate (%) = (Number of conversions ÷ Total number of visitors) × 100

Why it's a core KPI:

The conversion rate is one of the most representative indicators of a site's business performance. It measures the site's ability to turn traffic into tangible value. It allows you to:

  • Evaluate the effectiveness of user journeys,
  • Measure the impact of acquisition or activation campaigns,
  • Prioritize optimization actions (CRO, UX, content, funnel, etc.),
  • Maximize marketing ROI without necessarily increasing traffic.

Examples of conversions:

  • E-commerce: purchase, add to cart, subscription to an offer,
  • SaaS: free trial sign-up, demo request, paid subscription,
  • Lead generation: filling out a form, downloading a white paper,
  • Media content: newsletter sign-up, account creation, full viewing.

Contextual interpretation:

A conversion rate must always be analyzed in context, because:

  • It varies according to traffic source, device, page type or user segment,
  • It can be influenced by traffic quality (e.g., organic vs paid visits),
  • It must be assessed alongside other indicators such as:
    • the bounce rate,
    • the average session duration,
    • the browsing depth,
    • or even the revenue per visitor (RPV) for a more comprehensive business reading.

Conversion rate optimization (CRO):

Improving this rate relies on a data-driven approach, including:

  • Landing page optimization (visual hierarchy, CTA, loading speed…),
  • Behavioral analysis via heatmaps, replays, VoC surveys,
  • Implementing A/B tests or multivariate tests to validate changes,
  • Segmentation by channel, device or visitor type.

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