The Datarian July seminar will feature Delightroom Data Analyst Doohee Lee and Datarian CEO Sunmi Yoon.
We'll cover everything from LTV calculation methods to practical application know-how in this seminar!
✔️ LTV, how it's used in practice
• [Lecture] "Marketing performance, now measured by 'revenue': Practical LTV(LTR) calculation methods"
• [Lecture] "Immediate Ad Revenue vs. Churning Users: Decision-making with LTV"
• [Panel Talk] "LTV, Ask Me Anything!"
🗓️ Date and Time: 7/28 (Tue) 7:30 PM – 9:30 PM
👀 Location: ZOOM Online
If you have friends or acquaintances who might need this seminar information, please share the news!
Hello, Datarian has prepared an appreciation event to celebrate its 5th anniversary.
GA4 Data Analysis Camp, if you apply now, you can take the course at a 50% discount.
If you've been thinking that you can no longer delay applying data analysis to your work!
Enroll now and learn directly from data analysts who have worked at Coupang, Ridi, and JobPlanet.
Go to GA4 Data Analysis Camp (50% off, until midnight tonight)
After taking the GA4 Data Analysis Camp, you will be transformed like this
✔ Why did our company's sales drop? You can analyze it yourself with GA4.
✔ You can identify which marketing channels are bringing in the most users.
✔ Through funnel analysis, you can track how users entered via marketing and what purchase conversions were made.
✔ You can obtain and check user retention rate data through retention analysis.
I need to build a portfolio, but where on earth can I get actual user data?
For those who have heard that you can collect and analyze user data yourself in GA4, but are getting stuck right from the installation stage,
We have prepared a free hands-on seminar where you can personally go from 'GA4 installation to data verification' in just 2 hours.
✔ Possible to install GA4 without development knowledge
✔ Configure a data collection environment with just a few clicks
✔ Check data after connecting to Tistory
📅 4/14 (Tue) 7 PM - 9 PM, ZOOM Online
If you have any friends or acquaintances who might need this seminar, please share the news with them :)
The Data Next Level Challenge (Data Level Challenge), a challenge for reading and recording recommended books related to data analysis, has returned for its 5th cohort.
This recommended book is the 12th Brunch Award 🏆 winner "UX Emerged After Data Struggles."
This book is a secret manual that generously shares the know-how of working in a data-driven way from a 17-year veteran product designer—insights that can only be provided by someone who has directly experienced hands-on work in the field.
Less than 50 days left in 2025! If you want to spend it meaningfully and productively, join us with Devel Challenge 🥰
📚 DevChall 5th Cohort Recommended Books
∙ 『UX Emerged After Data Struggles』 _ Written by Lee Mi-jin (Ranran)
✔ We recommend this challenge for these people
∙ Those curious about why designers, planners, and marketers need to understand data∙ Those who want to know specific methods for working in a data-driven way
∙ Those who want to spend the remaining 2025 meaningfully📌 How to Apply for the Challenge (Free, Application Deadline 11/23)
∙ https://dub.sh/5Qy11p6If you have colleagues or friends around you who want to start studying data analysis, please share the news about this challenge.
I'd like to share information about the free GA4 Hands-On Seminar that will be held next Tuesday evening.
I've prepared this for those who have resolved to learn GA4 this year but haven't started yet.
In just 2 hours at the seminar, you can install GA4 on your blog and check real-time data yourself.
✔ GA4 can be installed without development knowledge
✔ Hands-on, hands-on training with simple setup in just a few clicks
✔ Install GA4 on your Tistory blog and check real-time data
✔ You can ask practitioners directly about your GA4-related questions in the Q&A session.
📅 Seminar Information
• Event Date: 7/15 (Tue) 7:00 PM - 9:00 PM
• Location: Zoom Online
• Cost: Free
If you have a teammate or acquaintance who might need a seminar, please share the news with them :)
Hello planners and marketers,
Has anyone seen the outdoor advertisement for Speak that covered Gangnam Station earlier this year?It is not easy for a startup with a limited budget to plan and confirm outdoor advertising.
I would like to share a blog post written by 'Jung Du-hyeon', a Speak Branding Marketer, about the difficult process of planning, confirming, and executing outdoor advertising.
I think there are many people who are worried about the promotional plans for the year-end and New Year holidays.
I recommend that you read Duhyun's blog post and use it as a reference to learn how to persuade your CEO and team members.✨ The story of covering Gangnam Station with outdoor advertising - Internal persuasion
https://bit.ly/4gUDIvj✨ Internal Persuasive for Brand Campaigns
https://bit.ly/4eZ3yN1If you attend the Datalian seminar held next Tuesday, you will also hear internal persuasion tips from IT startup practitioners, so if there are people around you who are interested, please share the seminar news with them 😀
✅ Watch the seminar 'Effectively Persuading My Plan Based on Data' on Tuesday, October 15th
https://bit.ly/4eMWVgC
Data analysts can be divided into ‘in-house data analysts’ and ‘consulting data analysts’ depending on the type of company they work for.
Next Tuesday (7/9) at 7 PM, there will be a seminar where you can learn about the differences between the two types of data analysts , with senior data analysts who have built their careers as consulting data analysts and in-house data analysts .
If you have a colleague or friend who is an aspiring data analyst or junior analyst who is worried about their first company or career, please share the seminar information 🙂
👉 Check out the seminar: https://bit.ly/3GmaJzu
Datalian July Seminar “Data Analysts, Which Company Should You Go To?”
📅 7/9 (Tue), 7pm ZOOM Online
✔ [Part 1 Lecture] This is what data analysts at consulting firms do _ Kim Seon-young, Executive Director of Market Fit Lab Solutions Division
✔ [Part 2 Panel Talk] What is the difference between an in-house data analyst and a consulting data analyst?
👉 Apply: https://bit.ly/3GmaJzu
Data-driven marketing is the new trend, but you don't have a mentor to teach you how and don't know where to start?
Find out everything from how to get started with data-driven marketing to the latest trends in the marketing industry changing in the cookieless era.
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?
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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.
