| Average Email Click-Through Rate |
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| Email Marketing | |
| Written by Lyris HQ Staff Writer | |
| Sunday, 07 August 2005 | |
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This article reviews how to calculate and interpret the average click-through rate (CTR) of an email campaign, provides general industry benchmarks, and suggests strategies to improve underperformance.
Question: Is there an average email click-through rate? Or ranges to judge whether response was poor, average or good? Answer. The email click-through rate (CTR) is important because without it, you don't get conversions. However, there's no single benchmark click-through rate, because CTRs depend on many factors: whether you send to a business or consumer audience, the kind of email messages you send, how relevant the message is to your audience, how often you send, your email opt-in process, your use of personalization and email list segmentation, and dozens of other factors. And most significantly, how many links you have in your email and if you are providing content such as articles, whether you include the entire article within the body of the email or you have a teaser or snippet that requires email subscribers to click through to a Web site to read. Beyond that, many companies calculate and report email click through rates differently - using total versus unique clicks. Many email subscribers will click on multiple links, which means that CTRs based on "total" clicks are typically about two times higher than those based on "unique" clicks. That being said, below are some ranges for average email click through rates for permission-based house lists. CTRs that we cite are based on unique clicks (only one click per person is counted) and are calculated as: unique clicks/emails delivered:
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Comments (4)
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open vs ctr
written by Amanda, July 25, 2009
Guys - dumb question. I need to check my math.
I mail 1000 emails 100 get opened 10 get a linked clicked on Does that mean my open rate is 10% (100/1000) and that my click thur rate is 1% (10/1000)? report abuse
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Re: Click-through rates from banner ads
written by Anita Taylor, Editor of Inside Lyris HQ, March 13, 2009
Sheryl, unfortunately, we don't know of any statistics that are that granular. There are simply too many variables that could affect click-through rate: whether it's a house list or a third-party list; how relevant the banner/banner offer is to the audience; how well-designed the newsletter creative is, etc.
In your case, what I would suggest is benchmarking and testing to determine what's most effective for you. At a high level, you could start by looking at your click-through rates for the banner and newsletter in question for the last 3-6 campaigns. That gives you a window into its historical performance. Then, you can try systematically changing things to see what will boost clicks over and above what you traditionally receive. For example, on your next time out, try split-testing to see which banner position is most effective. Send half your list a version with the banner on the right side, and half with the banner below the fold, and see which drives the most clicks. report abuse
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Click through rates from banner ads written by Sheryl Benjamin, March 12, 2009
Hi. Do you hve any statistics on what the click through rates would be for a banner ad that is embedded in a BTC newsletter? I'm looking for rates below the fold and in on the right hand side of the page.
Thanks! report abuse
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Yes, generally speaking that is the correct math. However, as mentioned in the article above, "many companies calculate and report email CTRs differently - using total versus unique clicks."
If you're using the Lyris HQ email marketing solution , open and click-through rates are calculated based on unique opens and unique clicks as a percentage of the total number of messages successfully delivered (i.e. total # of messages sent minus the total # bounced).
Here are the equations:
Open Rate = Unique Opens/Emails Delivered (Sent – Bounced)
Click-Through Rate = Unique Clicks/Emails Delivered (Sent – Bounced)
For further clarification, please refer to our glossary of terms for definitions of "open rate" and "click-through rate". I also recommend reading the article "Click-to-Open Rate: A Better Metric?"