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Data-Driven Content Marketing That Drives Business Growth [Monthly Datarian Seminar Replay | May 2023]

How can data be used in content marketing? At this May seminar, you can hear case studies from data analysts on using data from company blogs and newsletters!

(4.8) 4 reviews

156 learners

  • datarian
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3시간 만에 완강할 수 있는 강의 ⏰
Contents Marketing
Growth Hacking
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Reviews from Early Learners

What you will learn!

  • GA4, Google Search Console Data: Corporate Blog Analysis Case Study

  • Case Study of Blog Growth on Own Website

  • Newsletter Growth Hacking Case Studies

  • Newsletter Funnel Analysis Process

📍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 Analyst Seminar 💡
Check out Monthly Datalian again in May 2023!

📢 Please check before taking the class!

  • This lecture is a recorded video of the live seminar Data-Driven Content Marketing that Drives Business Growth held in May 2023.
  • Includes responses to real-time chat that comes up during the live presentation.

Monthly Datalian Seminar
Data-driven content marketing in May Covering the case !


Datalian Seminar in May is 🔍

I recommend this to those who are having these concerns

  • Marketers who have created blogs because they say blogs are essential for marketing these days, but are worried because the number of visitors is not increasing
  • Startup workers who are busy making and operating products and are worried about whether they should also run a corporate blog
  • Email marketers who want to analyze deeper data than newsletter open rates and click-through rates to grow their business.
  • Curious about how other companies run their blogs and newsletters?

📺 In June 2023, we'll talk about practical data analytics!


May Seminar Timeline ⏰

#1 - Grow your corporate blog MAU by 800% with data analytics

Speaker Lee Bo-min

  • Datalian Content Marketer, Data Analyst
  • Former Jobplanet Data Analyst
  • [Speaker Interview] The Story of a Content Marketer Who Grew Website MAU by 800%
  • 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.

What marketing methods are most effective for early-stage startups to grow quickly?
Corporate blogs play a very important role in marketing and customer acquisition. However, many companies have difficulties in content production, search engine optimization (SEO), and keyword utilization when operating a blog. To overcome these difficulties, it is important to improve the performance of the blog through data analysis.
Get tips from the case of Datalian Blog, which saw 800% growth in MAU.

#2 - Growth Hacking Your Data Analyst's Newsletter: Are You Just Looking at Subscribers and Open Rates?

✔ Speaker Song Hye-jeong

  • Datalian Content PD, Data Analyst
  • Former) Ridi Data Analyst
  • [Speaker Interview] Why a Content Data Analyst Jumped into Newsletter Creation
  • I started working in data analysis at a content company and then started creating content after starting my own business. I use data in all processes, from creating and releasing newsletters and YouTube videos, to ensure that necessary information is delivered in a timely manner.

If you're publishing a newsletter to grow your business, you'll want to look at more specific metrics than just subscriber numbers and open rates.
I was a data analyst who had never published a newsletter myself. After founding Datalian, I started producing a monthly data analysis newsletter. As I was creating the newsletter myself, I had a lot of data I was curious about, so I defined and started analyzing indicators related to the newsletter.
We share our Datalian newsletter growth hacking case study from improving your newsletter with data to contributing to business growth.

May Seminar
About the participants 📖

Kim Min-joo Moderator

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.

Speaker Lee Bo-min , Part 1

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.

[Speaker Interview] The Story of a Content Marketer Who Grew Website MAU by 800%

Song Hye-jeong, Part 2 Speaker

I started working in data analysis at a content company and then started creating content after starting my own business. I use data in all processes, from creating and releasing newsletters and YouTube videos, to ensure that necessary information is delivered in a timely manner.

[Speaker Interview] Why Content Data Analysts Jump Into Newsletter Creation


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!
May Seminar Slides: https://bit.ly/41oy9fH


Live participation review
If you're curious 👏

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

  • I liked the part where you told me how to judge the data I see on the blog, and what other data I should look at there.
  • The marketing effect of blogs is greater than you might think!
  • I was really at a loss when it came to blog marketing, but the content on blog marketing was impressive and helpful!
  • From the perspective of running a business blog, it was great to be able to think about specific actions to take when viewing and leveraging data.
  • What was impressive was the user analysis by inflow path and the comparison of behavioral data between those who viewed the blog and those who did not.
  • I recently moved from a large company to a startup and started handling marketing myself after only handling agencies. I really liked how they taught me in a very kind and step-by-step manner.
  • I used to think that a blog was just a blog, but I was impressed by how increasing the number of visitors to your blog and posting meaningful content can also help increase sales!
  • Both the blog and the newsletter were great for explaining the data analysis process, hypothesizing potential problems, and providing concrete answers to those problems.
  • I really enjoyed the content on newsletters and growth marketing, as well as how to use a blog.
  • What impressed me was that instead of just sending out a newsletter and ending it, you can try out different analyses and make improvements based on the results. It was a great learning experience to know that there are many different ways to analyze things!
  • I was impressed by the way they divided their newsletter subscribers by month and figured out open retention. I had only checked the open rate and inflow rate, but it made me decide to try accessing the data in various ways.
  • I liked the part where you showed the connection between newsletters and growth hacking, and how you directly used Google Analytics.
  • I liked how you detailed how you do funnel analysis with newsletter related data.
  • It was easy to understand thanks to the example of how to apply funnel analysis in Datalian!

A word to Datalian!

  • I feel like I have become an online shooter! It was very helpful that you shared your experiences and response methods in detail as if you were observing the actual situation.
  • It really helped me a lot. I could feel the care you put into it. Thank you!
  • The seminar content was really good. It was even better when you gave real datarian examples😊😊
  • I could see how much thought and effort went into promoting Datalian. It was a time to reconfirm how the things I learned at the data analysis camp are actually implemented. Also, I am currently writing about what I am learning and my journey to becoming a data analyst on my blog, and it was a useful time to see how data is used in various ways through the blog, clarify the purpose of using the blog, and refer to what to consider when operating the blog in the future.
  • Thank you for sharing your information so generously. I don't think I've ever seen a site that organizes related links like this.
  • I liked the time frame, the way it was conducted, and especially the fact that you received questions in advance and prepared answers in depth. As someone who does the same job, I support you :)
  • I also just had a change in my job at my company and am now in charge of marketing. I really wanted to attend a seminar that would be helpful and practical. Thank you for preparing such a great lecture.
  • The seminar content, detailed and thorough Q&A, and honest content were all great. Thank you for making this a great lecture.
  • It was easier to understand and apply because it was a real-life case study by Datalian. Thank you for preparing such a rich lecture.
  • Thank you for the quality lecture. It was difficult because I haven't experienced the actual work yet, but I will study it again while attending the camp!
  • I enjoyed the first Datalian webinar. I will always support you!
  • I didn't know you could give such a useful and relatable lecture! I liked the detailed seminar content, the Kind way of running it, and the fundamental comments you added in between to help us think about user actions.
  • Q&A and chat are separated, so it's good for focusing on the lecture, and it's also good for being able to view only Q&A. I'm always grateful and supportive, Datalian!
  • I was very satisfied with this seminar! It was very useful and good. Thank you!
  • Thank you for sharing in detail and practical way the Datarian-like hypothesis, experimental design, and data verification process with detailed and specific content. Always be happy Datarian!
  • I hope to see more detailed and specific seminars in the future!


2023 Monthly Datalian
Rewatch the last seminar 📺

Recommended for
these people

Who is this course right for?

  • A marketer worried that visitor numbers aren't increasing, having created a blog said to be essential for marketing these days.

  • A startup employee who is busy making and operating products and considering whether they should also run a company blog

  • Email marketing manager looking to analyze more in-depth data than newsletter open and click rates for business growth

  • Anyone curious about how other companies run blogs and newsletters

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5 lectures ∙ (2hr 13min)

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