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Everything About Marketing Performance Analysis (feat. GA4) [Monthly Datarian Seminar Replay | November 2023]

In the cookie-less era, how will marketing change? If you don't know how to start marketing performance analysis, attend the November seminar.

(5.0) 4 reviews

106 learners

  • datarian
GA4
데이터분석
디지털 마케팅
퍼포먼스 마케팅
Digital Marketing
Performance Marketing
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What you will learn!

  • Why Attribution Analysis is Essential for Marketing Performance Analysis

  • Attribution Analysis Evolving for the Cookie-less Era

  • Examples of Marketing Performance Measurement

  • Data-Driven Decision-Making Tips

📍Notice

  • This course will be converted to a free course starting Monday, June 2, 2025. Please note this before paying for the course.

  • For inquiries, please click the 'Contact Us' button at the bottom right.

Monthly data analysis seminars 💡
Check out Monthly Datalian again in November 2023!

📢 Please check before taking the class!

  • This lecture is a recorded video of the live seminar “ All About Marketing Performance Analysis (feat. GA4)held in November 2023 .

  • Includes replies to real-time chat that comes up during the live presentation.

Monthly Datalian Seminar

In November we cover marketing performance analysis !

Datalian Seminar in November is 🔍

I recommend this to those who are having these concerns

  • A junior marketer who has no one to tell him that data-driven marketing is the trend

  • Practitioners who are curious about how other companies are using data for marketing

  • Marketers who have made sales but are not sure whether these sales were actually generated through advertising

  • As the cookieless era approaches, practitioners are increasingly concerned about the difficulty of viewing the entire conversion path data.

  • A data analyst who is asked by the marketing team to analyze data but has no idea how to do so

  • Marketing job seekers who are curious about how to do 'data analysis', which is often seen in marketing job postings these days.

  • I created my own service, but I can't tell if the marketing is going well or where the money is coming from.

📺 In December 2023, we'll talk about marketing performance analysis!

November Seminar Timeline

#Part 1 Lecture - Are you only looking at the last touch in terms of advertising performance?

Speaker Kim Min-joo

  • Datalian Growth Marketer, Data Analyst


'Where and how much should I allocate my advertising budget?' How do you answer this question, which is like the fate of marketers?

Most users go through multiple channels to make a conversion event, such as a purchase. Which channel caused the purchase? The channel that brought the user in first, the last channel that ultimately made the purchase, or was it all equally influential across all channels the user went through? Attribution analysis is there to answer these questions.

In this presentation, learn why contribution analysis is essential for marketing performance analysis and how it is changing in the cookieless era.

#2 Panel Talk - A collection of data-driven marketing cases that can broaden marketers' perspectives

Panelist Kim Min-joo

  • Datalian Growth Marketer, Data Analyst

  • Former B2B logistics startup SwatchOn data analyst, performance marketer

  • Former Co-Founder, COO of shared housing startup Napster

Panel Lee Bo-min

  • Datalian Content Marketer, Data Analyst

  • Former Jobplanet Data Analyst

Panel Yoon Seon-mi

  • Datalian Data Analyst

  • Former) Coupang, Hyperconnect, Kakao data analyst

Q. What data analysis capabilities are needed for data marketing?

Q. How can I start data-driven marketing when I don’t have a data team and no analytics environment?

Q. I’m having a hard time figuring out what data to look at to gauge marketing performance. There’s so much data I want to look at.

We'll answer the most frequently asked questions about data-driven marketing from practitioners. We'll teach you everything from measuring marketing performance to tips for data-driven decision-making.

November Seminar
About the participants
📖

Kim Min-joo

Part 1 Speaker

  • Datalian Growth Marketer, Data Analyst

  • Former) Data Analyst, Growth Marketer at B2B Logistics Startup SwatchOn

  • Former Co-Founder, COO of shared housing startup Napster

I learned data analysis to find answers in a world where there are no right answers after starting a business. I worked as a data analyst and now I am working on growing services based on data.

Yoon Seon-mi

Part 2 panel

  • Datalian Data Analyst

  • Former) Coupang, Hyperconnect, Kakao data analyst

I have been working for 8 years already. Ironically, I have come to believe in the power of data more while working with Datalian members on various tasks such as marketing and service planning than when I was working only as a data analyst. I am interested in conveying data analysis in a way that anyone can easily understand.

Lee Bo-min

Moderator

  • Datalian Content Marketer, Data Analyst

  • Former Jobplanet Data Analyst

I worked as a data analyst at the recruitment platform Jobplanet, and now I work as a content marketer and data analyst at Datalian. I work to spread the word so that those who are curious about data analysis can easily and quickly access data analysis content that is close to practical use.

Expected Questions Q&A 💬

Q. When is the monthly Datalian Live Seminar? Where can I apply?

You can check out the next month's seminar information on the Datalian website . You can also apply right away!

Q. Is there anything I need to prepare before listening?

No :D Anyone can hear it!

Q. Can I view the slides you used in the seminar separately?

Please check the slides at the link below!
November Seminar Slides : https://bit.ly/40FoUsU

Live participation review
If you're curious
👏

What was the most impressive thing you learned during the seminar ?

  • I've seen things like 'allow cookies' a lot, but I didn't know exactly what it was or how it was used. Through this lecture, I learned how it's used!

  • I liked the introduction of GA4 updates and the various ways to apply data marketing in practice that were discussed in the second panel talk.

  • I liked the practical information you provided on establishing a campaign strategy according to the awareness-consideration-conversion funnel, as well as things to keep in mind when conducting marketing through data analysis.

  • Thanks to the clear explanations and specific directions provided in the answers, I felt like I was learning and understanding about 60-70% of data analysis, even though I was almost ignorant of it. In particular, I think there was a lot of information to take away from the various answers given in the second panel talk. The cases that Datalian conducted were also very helpful for my understanding.

  • I was impressed by the answers related to subjective questions during the panel discussion! Rather than blindly trusting and aggregating the data left by customers, I learned that it is necessary to filter and listen to the opinions left by customers while looking at the subjective questions together!

  • I was impressed by the explanation that in order to judge performance, we need to set common goal indicators for each campaign and focus on data according to the goals.

  • What impressed me the most was that you answered the Q&A based on real cases. As a job seeker, I was really curious about why what I was learning now was important, whether I was looking at it this way, and how it was used in practice.

  • As someone who is just starting out in job hunting, it was great to be able to learn about what areas I should study (GA4, marketing funnel, contribution analysis model, etc.)

  • The thing that impressed me the most was that I had been missing the point that in order to judge the success, we need to clearly define the purpose of this campaign, whether it is awareness or conversion!

  • I have absolutely no knowledge of data analysis, so these were all terms I was hearing for the first time, but they were explained in an easy-to-understand way for me.

  • It was good to learn about various practical examples (funnel analysis, etc.) of performance measurement methods, not just simple tool utilization methods. The data analyst-marketer job title felt vague, but it was also a great help as a job seeker to learn that it was a job that was needed by the company.



A word to Datalian !

  • The way it was conducted was smooth, and I could feel that you prepared a lot. 😊😊 It's amazing that you prepare every month . 👍 👍 The content was also based on Q&A with the audience rather than the actual lecture, so I think it was a lecture that was a bit closer to practical work.

  • Thank you for giving such a high quality lecture. It was very helpful :)

  • I came across Datalian while I was looking for various information shortly after changing jobs. I hope you will continue to have great seminars!

  • I was able to attend the GA4 camp and attend the seminar for free! You prepared so well and gave me so much great information, it was really helpful. (I mean it seriously!!!!) Thank you for your hard work until late at night. Thank you : )


  • The seminar content was quite informative, and I was surprised that the questions derived from the answers to the questions were asked to broaden the scope of understanding. I enjoyed the lecture. Thank you for your hard work~

  • I'm a beginner who just started studying data analysis and had a lot of concerns about what to do, so thank you!!

  • First of all, there was a separate person who led the event, so it was smooth even though there were several panelists. The lecture was based on questions and questions people had, so I was able to relate to it and it was very helpful!


  • It was a lecture that was worth my time and money 😊😊

  • Thank you for always providing great content! I enjoy reading your newsletter and blog :)

  • I'm really looking forward to next month's seminar! Thank you for preparing such a great lecture :)

Recommended for
these people

Who is this course right for?

  • Junior marketer told data-driven marketing is the trend, with no one to teach.

  • Practitioner curious about how other companies are using data for marketing

  • A marketer who generated sales but is unsure if they resulted from ads.

  • Practitioners whose concerns are deepening as it becomes difficult to see the entire conversion path data in the cookie-less era

  • Data analyst unsure how to analyze data requested by marketing team

  • A marketing job seeker curious about how to do 'data analysis,' which is often seen in recent marketing job postings.

  • Service creators unsure about marketing success or payment sources.

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