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Key Statistics for Email Campaigns in 2025

Posted: Thu Jan 02, 2025 9:43 am
by jsarmin
We have divided the data into three regions: North America, Latin America, EMEA (Europe, Middle East and Africa) and APAC (Asia Pacific).

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Among the email marketing statistics of the four regions, Latin America has the best opening rate, but also the highest bounce rate.

How do your results compare to those of your competitors? This question is very present in the analysis of social media profiles, but it is not always applied to other channels used in digital marketing, such as email.

Here you can see a series of key indicators by sector or industry, which you can take into account to know if your actions are giving the best results, or what aspects to modify in your email marketing strategy.

Performance in all sectors
Whether you have an e-commerce site, a physical store, offer personalized services, etc., email marketing can be useful to you. In this study, you can see the average open and click rates for the main industries.

The average open rate is 21.89%

Email open rates reflect the quality of your contact list and their interest in your emails. A key factor that will influence your open rate is your email subject line.

The average click-through rate is 3.96%

Click-through rate gives you an idea of ​​the overall engagement oman telegram data of your contacts, as it includes subscribers who opened your email and those who didn't. This is a good measure of how relevant your emails are.

The average cancellation rate is 0.15%

The number of unsubscribes will help you understand whether the content of your emails matches the needs of your audience. If your unsubscribe rate is much higher than average, you may wonder if there is room for improvement or if you have done something differently that could have caused you to lose subscribers.

Average open rate and click rate by sector/industry
Note: Please keep in mind that these statistics are averages. Regardless of industry, open and click rates can vary dramatically depending on many factors.