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Marketing

What is Click-Through Rate?

Share of recipients or viewers who click a link.

How to calculate it

Calculate Click-Through Rate as: Clicks / Impressions (or delivered) × 100. Pull the inputs from your connected data and track the trend over time in your dashboard.

Examples

Example 1

10,000 impressions and 250 clicks -> 2.5% CTR. Email typically runs 2-5%; display ads under 1%.

Example 2

An email to 10,000 contacts earns 350 clicks -> 3.5% CTR, above the 2-5% norm and a sign the call-to-action is resonating.

Why it matters

Click-through rate (CTR) is the share of recipients or viewers who click a link and measures how compelling the content and offer are. It connects passive exposure to active interest and is a key optimization lever for both email and paid media. Comparing CTR across very different channels can mislead, since baseline expectations differ sharply.

Benchmark context

Email typically runs 2-5%; display ads usually sit under 1%; paid search varies by intent. Benchmark within a channel, not across channels.

Common pitfalls

Comparing CTR across very different channels.

The complete guide

Understanding Click-Through Rate

Click-through rate (CTR) is the share of recipients or viewers who click a link and measures how compelling the content and offer are. It connects passive exposure to active interest and is a key optimization lever for both email and paid media. Comparing CTR across very different channels can mislead, since baseline expectations differ sharply. For context, email typically runs 2-5%; display ads usually sit under 1%; paid search varies by intent. Benchmark within a channel, not across channels. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Click-Through Rate alongside Conversion Rate, Open Rate and ROAS; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.

Make sure the numerator and denominator cover compatible populations and periods, and avoid dividing by a partial or unusually small base. Keep attribution windows, channel classifications, conversion events and cost inclusions stable across every comparison. Segment the result by channel, campaign, audience, device and landing page; an aggregate figure can conceal a strong source subsidizing a weak one. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.

Improvement should start with measurement and intent: verify attribution, isolate the audience and creative combinations producing qualified outcomes, and optimize toward downstream value rather than inexpensive activity alone. Common pitfalls: comparing CTR across very different channels. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.

Sources and further reading

  1. Google Ads glossary

    Google Ads Help Accessed

  2. GA4 traffic acquisition report

    Google Analytics Help Accessed

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