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Posted: Tue Jan 07, 2025 9:40 am
It is worth paying attention to whether the coefficient shows unique data. If so, then we see the percentage of people who opened the message at least once. If not unique, then we have data on all opens. Unique is a reliable parameter for analysis because based on its data we can immediately draw conclusions about the effectiveness of the campaign. Example If a marketing campaign was sent to , addresses and the message was opened by , people, some of whom opened it multiple times for a total of , opens then Unique , Nonunique , , Unique is.
Affected by the following factors The quality of the database, whether there are a large number of returned or undelivered messages, Sending date, you can test it in test mode on different days of the week or at a sending time taiwan whatsapp resource that is more suitable for the recipients preferences, Message subject, it is recommended to test different subjects, add personalization, for example, the recipients name, and the content depends on the subscribers data. Lets move on to the clickthrough rate. Clickthrough rate the ratio of clicks to the number of messages sent. As in the case of , we can.
Work with two types of clickthrough rates unique percentage of people who clicked at least once and nonunique percentage of people who clicked at least once. Example If , emails were sent and the number of people who clicked at least once was , the coefficients would be unique clickthrough rate, nonunique clickthrough rate, a more reliable indicator would be unique. To improve this indicator, we need to analyze where exactly the recipients clicked. Click maps will help to achieve this, where a personalized percentage of clicks will be displayed for each link element in the creative. If all clicks.
Affected by the following factors The quality of the database, whether there are a large number of returned or undelivered messages, Sending date, you can test it in test mode on different days of the week or at a sending time taiwan whatsapp resource that is more suitable for the recipients preferences, Message subject, it is recommended to test different subjects, add personalization, for example, the recipients name, and the content depends on the subscribers data. Lets move on to the clickthrough rate. Clickthrough rate the ratio of clicks to the number of messages sent. As in the case of , we can.
Work with two types of clickthrough rates unique percentage of people who clicked at least once and nonunique percentage of people who clicked at least once. Example If , emails were sent and the number of people who clicked at least once was , the coefficients would be unique clickthrough rate, nonunique clickthrough rate, a more reliable indicator would be unique. To improve this indicator, we need to analyze where exactly the recipients clicked. Click maps will help to achieve this, where a personalized percentage of clicks will be displayed for each link element in the creative. If all clicks.