[A hundred words are not as good as seeing once] Basic SQL for data analysis

Data analysis is also becoming increasingly important in the marketing field.

If you work a lot with your marketing team and aren't sure where to start with analytics, check out our November seminar.

This will also be a great opportunity for those who want to start a career in data analysis to gain indirect practical experience.

👉 Go to the November seminar

11/14 (Tue) “Everything about Marketing Performance Analysis (feat. GA4)”

1⃣ [Lecture] Are you only looking at the last touch in terms of advertising performance?

2⃣ [Panel Talk] How should we measure marketing performance?

If you're struggling with measuring your marketing performance, see you at our November seminar.

If you have a colleague, friend, or acquaintance who you think needs this seminar, please share this news with them!

👉 Apply for the November seminar

[Questions received so far]

✔ How can you do data-driven marketing when you don’t have a data team and a data analysis environment in place?

✔ It’s hard to get a feel for what data to look at when judging marketing performance. There’s too much data to look at, and I’m curious about how to determine which data is the baseline and which data needs to be improved.

✔ I am concerned that the number of content views is high, but the conversion to APP downloads is low. What could be the problem?

✔ I am a small brand marketer. I planned influencer collaboration content and it got a good response and good reviews. However, there is too little data to know whether there was an increase in the number of followers or a direct impact on my store. How can I prove the results in this case?

✔ I work at a startup. I'm receiving surveys from users, but most of the data is qualitative, so I don't know how to use it. I'm thinking about getting rid of subjective questions altogether.