Analyzing KakaoTalk Advertising Messages for Effective Marketing Strategy

Analyzing KakaoTalk advertising messages by time and day can establish an effective marketing strategy through data visualization.

### Analyzing KakaoTalk Advertising Messages to Establish an Effective Marketing Strategy
* 📊 Analyzing advertising messages by **time and day of the week** can help establish an **effective marketing strategy**.
* 📥 To download KakaoTalk advertising messages, open the KakaoTalk app, select the chat room with the advertising messages, choose **Export Chat** from the chat menu, and save the messages as a text file.
* 📅 The data is structured with dates and user messages, and the first step is to **understand how to interpret this data**.
* 🛠 Firstly, preprocess the data by filtering out only the messages labeled as **advertising**.
* 📈 Secondly, create a **heatmap chart by time and day** from the preprocessed messages to visualize the data.
* 🕒 The heatmap chart shows the times and days when advertising messages are mainly received, such as **around 8 AM, 10 AM, and 2 PM on weekdays**, and **only at 12 PM on weekends**.
* 🔍 By analyzing this heatmap, it becomes easier to understand **how the company delivers advertising messages** and to identify patterns for **effective marketing strategies**.

I will teach you how to preprocess and analyze KakaoTalk advertising messages to extract data. Analyzing advertising messages by time and day of the week can help establish an effective marketing strategy. First, let's learn how to download KakaoTalk advertising messages. Open my KakaoTalk app, oh, I already have it open. Select the chat room with the advertising messages. From the chat menu, choose Export Chat and select to save the messages as a text file. Let me try it in English this time. Now, looking at the data, it is structured with dates and user messages. Let's try inputting the data. First, let's understand how it interprets this data. Shall we analyze this data? Oh, let's take a look. Yes, Professor Smith examined the data as follows. So, looking at the date and user messages, now I will ask this.

Yes, first, I will process this data. There are both advertising messages and non-advertising messages. So, I will only use the messages labeled as advertising for analysis. So, first, I will preprocess them. Secondly, I will create a heatmap chart by time and day from the preprocessed messages. I would appreciate it if you could create it. The results are out. In my opinion, a slightly different image has emerged, so I will summarize this. Applause. Now it's out. Let's analyze the completed heatmap. When looking at the chart, we can see the times and days when advertising messages are mainly received. For example, we can see that the most advertising messages are received around 8 AM, 10 AM, and 2 PM. By looking at the days, we can see that on Saturdays and Sundays, compared to weekdays, advertising messages are mainly seen only at 12 PM on weekends. Let's take a closer look.

We can see it this way. So, shall we ask for an analysis of this? It points out the dots on this heatmap. In this simple way, we were able to see how this company delivers advertising messages. So, we have learned how to preprocess and analyze KakaoTalk advertising messages in data visualization like this.

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Preprocessing and analyzing KakaoTalk advertising messages can help establish an effective marketing strategy based on the times and days of the week the messages are received.

The process involves downloading the advertising messages from the KakaoTalk app, preprocessing the data to isolate the advertising messages, and creating a heatmap chart to visualize the distribution of messages by time and day.

The analysis reveals that the most advertising messages are received around 8 AM, 10 AM, and 2 PM, with a different pattern observed on weekends, where messages are mainly seen at 12 PM.

Analyzing KakaoTalk Advertising Message Delivery Through Data Visualization

The analysis provides insights into how the company delivers advertising messages through a heatmap.

It demonstrates a simple way to preprocess and analyze KakaoTalk advertising messages.

This approach helps in understanding the delivery of advertising messages using data visualization.