How to calculate click-through rate

What is click-through rate?

CTR is simply the number of clicks divided by the number of impressions as a percentage. This applies to many situations, but is most common in online advertising. For example , if 1,000 people saw your ad and clicked on 20 ads, the click-through rate would be 0.02 (or more commonly 2%). (Recommended learning: web front-end video tutorial)

However, it is not just Baidu advertising that uses click-through rate as a measurement standard. Any advertising platform will measure some form of click-through rate. Marketers measure click-through rates. It can be used anytime and anywhere marketers can use data-driven decision making, and it's especially useful if you pay for impressions and clicks (such as in PPC).

How to calculate click-through rate?

(Total number of clicks)/(Total number of impressions) = Click-through rate

Whether advertising on Baidu or Weibo, pay attention to the click-through rate through the promotion platform The quality of the copywriting can be monitored in real time, and the click rate is the basis of the conversion rate. Most click rates on the Internet are built on and analyzed from the big data of China's click economy.

Someone clicking on your ad is an indicator of interest. Therefore, you can optimize copywriting creativity based on conversion rate, and it is also an indicator for measurement and improvement.

In addition, click-through rate is an indicator used by some advertising platforms to determine the quality of advertising. Additionally, click-through rate is an important metric for many reasons.

First of all, it could be a ranking factor.

Second, the important thing to know about SEO is not how high you rank, but how much relevant traffic you actually drive to your website. Click-through rate is actually the metric that defines it.

Finally, click-through rate can be used as a micro-conversion in conversion optimization.

While we recommend always optimizing for macro conversions, micro conversions can give you a fuller, more comprehensive understanding of the user behavior changes you create when testing.

A click is a step on the journey to conversion.

For example, let's say you're testing a homepage image. Of course, you want your purchase conversion rate to increase. You can measure the number of people who click on the homepage CTA and make changes. This can give you a better understanding of how users behave and thus increase your conversion rate, while also reducing your financial investment.

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