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What is Conversion Rate?

Share of visitors or users who complete a desired action.

How to calculate it

Calculate Conversion Rate as: Conversions / Total visitors × 100. Pull the inputs from your connected data and track the trend over time in your dashboard.

Examples

Example 1

2,000 landing-page visits produce 60 sign-ups -> 3% conversion. Separate macro (sign-up) from micro (email capture) conversions.

Example 2

A pricing page gets 3,000 visits and 120 sign-ups -> 4% conversion. An A/B test lifts it to 5%, adding 30 sign-ups a month with no extra traffic.

Why it matters

Conversion rate is the share of visitors or users who complete a desired action and is a core measure of funnel and creative effectiveness. Small improvements compound across the whole funnel, often delivering more revenue than equivalent spend on extra traffic. It is most useful when macro conversions (purchase, sign-up) are kept separate from micro conversions (email capture).

Benchmark context

2-5% is typical for ecommerce, but it varies widely by industry, traffic source and offer; benchmark against your own baseline and segment.

Common pitfalls

Mixing micro and macro conversions in one number.

The complete guide

Understanding Conversion Rate

Conversion rate is the share of visitors or users who complete a desired action and is a core measure of funnel and creative effectiveness. Small improvements compound across the whole funnel, often delivering more revenue than equivalent spend on extra traffic. It is most useful when macro conversions (purchase, sign-up) are kept separate from micro conversions (email capture). For context, 2-5% is typical for ecommerce, but it varies widely by industry, traffic source and offer; benchmark against your own baseline and segment. 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 Conversion Rate alongside Bounce Rate, Cost Per Conversion 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: mixing micro and macro conversions in one number. 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. Conversion rate: definition

    Google Ads Help Accessed

  2. About return on investment

    Google Ads Help Accessed

Related KPI guides

Also mentioned

Cost Per Conversion

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