Post by alimularefin32 on Dec 14, 2023 10:07:47 GMT
Thai and English. The historical data retrieval period is 01/01/2023 – 31/08/2023, totaling 8 months with data of 100,000 Mentions. Overview Social Data Statistics Let's look at the first part in terms of platform share in the dimensions of Mention and Engagement. In order to give us a broader picture of which platforms people are talking about or participating in various issues related to 'Ayutthaya' province. Data indicates that Facebook is the number one platform used to reach Korat, followed by YouTube, TikTok, Twitter, and Instagram, respectively. On the other hand, for engagement, platforms like YouTube are number one. (Views counted as well) followed by TikTok and others in that order. This can show us a market opportunity in terms of choosing the platform to communicate on. If we just started doing business.
For example, the author himself sees Facebook, TikTok, and Special Data YouTube as channels that really should not be overlooked or neglected. Or if you want to collect good insights to the point of being strange, Twitter is an interesting channel. In the Social Data Statistics section, we will separate it into 3 parts as follows. By Mention －It can be seen that throughout the period of 8 months people were always talking about Ayutthaya, especially in the middle of the year the mention was clearly evident. It shows that tourism is always active. There is a message box in the lower right corner of the screen saying “There are only 2 products left and now there are 3 other people looking at the same product as you” encourages the feeling of Now or Never. If it's clear, you won't buy. Like this etc. Total 15 Case Study Personalization How to.
start marketing with insight from Customer Data and expand on customer data with Personalized Marketing. It can be seen that the method of marketing with personal knowledge depends on the strategy and creativity of each marketer. But to be able to do this, we have to start by collecting data and then grouping them together to make segments. But if we have Customer Data, it is clear which customers are interested in this product, then it will be easier for us to do Personalization Retargeting. Then we can look at Channel Preferences to see which channels of installment marketing to this customer will receive. Engagement or conversion is the most. Summary of Case Study Personalization No. 1 Retargeting intuitively from recently viewed products Collect data through cookies Set the Attribute values of segments that are interested in our products. Do Personalized Retargeting for this segment only.
For example, the author himself sees Facebook, TikTok, and Special Data YouTube as channels that really should not be overlooked or neglected. Or if you want to collect good insights to the point of being strange, Twitter is an interesting channel. In the Social Data Statistics section, we will separate it into 3 parts as follows. By Mention －It can be seen that throughout the period of 8 months people were always talking about Ayutthaya, especially in the middle of the year the mention was clearly evident. It shows that tourism is always active. There is a message box in the lower right corner of the screen saying “There are only 2 products left and now there are 3 other people looking at the same product as you” encourages the feeling of Now or Never. If it's clear, you won't buy. Like this etc. Total 15 Case Study Personalization How to.
start marketing with insight from Customer Data and expand on customer data with Personalized Marketing. It can be seen that the method of marketing with personal knowledge depends on the strategy and creativity of each marketer. But to be able to do this, we have to start by collecting data and then grouping them together to make segments. But if we have Customer Data, it is clear which customers are interested in this product, then it will be easier for us to do Personalization Retargeting. Then we can look at Channel Preferences to see which channels of installment marketing to this customer will receive. Engagement or conversion is the most. Summary of Case Study Personalization No. 1 Retargeting intuitively from recently viewed products Collect data through cookies Set the Attribute values of segments that are interested in our products. Do Personalized Retargeting for this segment only.
