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Post by account_disabled on Feb 12, 2024 10:13:01 GMT 5.5
In various systems it is worth paying attention to whether the coefficients show unique data. If so then we see the percentage of people who opened the message at least once. If not unique we have data on all opens. Unique is a reliable analytical parameter because based on its data we can immediately draw conclusions about the effectiveness of the campaign. Example: If a campaign is sent. Addresses and the message is opened by people, some of whom open it multiple times, a total of, opens is unique, non-unique, and unique. The quality of the database is affected by whether there are a large number Bolivia Email List of returns or undelivered messages sent. Date You can test in test mode on different days of the week or a sending time that better suits the recipient's preferences. Message headers. It is recommended to test with different headers. Add personalization such as recipient name. Content depends on the subscriber's data. Let’s move on to click-through rates. Click-through rate – The ratio of clicks to messages sent. As is the case with we can handle both types of click-through rates The percentage of unique people who clicked at least once Non-unique All clicks are counted.
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