Enter conversions and clicks to get CVR, plus value per click, the number that tells you whether a campaign can pay for itself.
This is the most useful figure on the page. It converts a percentage into money and puts it on the same scale as CPC.
If value per click is $7.17 and your CPC is $2.12, every click is worth more than three times what it costs and you should be buying more of them. If value per click is $1.40 and CPC is $2.12, the account loses money on every click and no bidding strategy repairs that.
| Type | Typical CVR |
|---|---|
| Ecommerce, all traffic | 1.5–3.5% |
| Ecommerce, paid search non-brand | 1–2.5% |
| Lead gen, form fill | 3–10% |
| Local services, phone call | 8–25% |
| B2B SaaS trial signup | 2–7% |
Conversion rates are only as good as the tracking beneath them.
Conversion rates are only as good as the tracking beneath them. Four things distort them routinely: duplicate tags firing twice, counting every funnel step as a conversion, consent-blocked events under GDPR-style regimes, and cross-device journeys attributed to the wrong session.
If a rate looks impossibly good or impossibly bad, audit the measurement before you change the campaign. Rebuilding a broken conversion setup routinely produces bigger gains than months of bid optimisation, because everything downstream was optimising toward the wrong signal.
A conversion rate is an estimate, and on typical traffic it is a loose one. The default example above, 47 conversions from 1,180 clicks, gives 3.98 percent. The honest reading is that the true rate is somewhere between about 2.9 and 5.1 percent.
| Clicks | Margin of error near 4% | Plausible range |
|---|---|---|
| 100 | ±3.8 points | 0.2% to 7.8% |
| 500 | ±1.7 points | 2.3% to 5.7% |
| 1,180 | ±1.1 points | 2.9% to 5.1% |
| 5,000 | ±0.5 points | 3.4% to 4.5% |
This is why a landing page that converted at 3.2 percent last week and 4.6 percent this week has not necessarily improved. On a few hundred clicks, a swing of that size is ordinary noise. If you want to know whether a change actually worked, the A/B test calculator and sample size calculator are built for exactly that question.
The first trap is the denominator. Conversions divided by clicks, by sessions and by users give three different rates for the same week, and platforms and analytics tools each default to a different one. Pick one, write it down, and never compare a rate from one source with a rate from another.
The second is counting the wrong conversion. Newsletter sign-ups, add-to-carts and page scrolls all get labelled as conversions in someone’s account. A conversion rate built on micro-conversions will look healthy while sales stay flat.
The third is celebrating a rising rate without checking revenue. Conversion rate goes up when you discount, when you push cheaper products, or when you cut traffic from colder audiences. All three can raise the rate and lower the money. Read it next to average order value, never alone.
More than most accounts wait for. At around a 4 percent rate, 500 clicks still leaves a margin of error of about 1.7 percentage points, and it takes several thousand clicks to narrow it below half a point. Judge small samples by their range, not their single figure.
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