Difference between revisions of "Click-Through Rate"

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(Created page with "'''Click-through rate (CTR)''' is the ratio of the number of users who click on a specific link to the total number of users who view a page, email or advertisement. Click-thr...")
 
 
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'''Click-through rate (CTR)''' is the ratio of the number of users who click on a specific link to the total number of users who view a page, email or advertisement. Click-through rate can be used to measure the success of online advertising campaigns, email campaigns and keywords. Generally the higher the '''CTR''', the more effective the marketing campaign.
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'''Click-through rate (CTR)''' is a ratio of the number of users who click on a specific link to the total number of users who view a page, email or advertisement. Click-through rate can be used to measure the success of online advertising campaigns, email campaigns and keywords. Generally the higher the '''CTR''', the more effective the marketing campaign.
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The '''Click-through rate''' of an ad campaign, for example, is the number of times a click is made on the ad, divided by the number of times the ad is shown or "served" (also called impressions), expressed as a percentage.
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'''CTR = Number of click-throughs / Number of impressions × 100 (%)'''
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===For more information, see:===
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* [https://en.wikipedia.org/wiki/Click-through_rate Click-through rate] on Wikipedia
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[[Category:Glossary]]

Latest revision as of 14:39, 31 July 2020

Click-through rate (CTR) is a ratio of the number of users who click on a specific link to the total number of users who view a page, email or advertisement. Click-through rate can be used to measure the success of online advertising campaigns, email campaigns and keywords. Generally the higher the CTR, the more effective the marketing campaign.

The Click-through rate of an ad campaign, for example, is the number of times a click is made on the ad, divided by the number of times the ad is shown or "served" (also called impressions), expressed as a percentage.

CTR = Number of click-throughs / Number of impressions × 100 (%)

For more information, see: