What Datarian changed

• Updated the early bird discount countdown for SQL and GA4 camps from D-3 to D-2.
• Replaced several blog articles in the "Popular Posts" and "Recommended Posts" sections.
• Added new case studies featuring Toss Data Analytics and Platform Tribes.
• Added new technical content regarding Range Retention and GA4 vs UA differences.
• Removed older articles about outdoor advertising and specific 2026 hiring trends in some sections.

The competitor is refreshing their content library with new case studies from major tech companies like Toss and Delidroom. They are also updating their sales urgency by changing discount countdowns from 3 days to 2 days.

• Added a new featured article about outdoor advertising at Gangnam Station.
• Updated the "Recommended Articles" section with new guides on problem-solving skills and portfolio building.
• Refreshed the "Popular Posts" list to include October 2026 job postings and SQL coding test tips.
• Updated the early bird discount countdown for SQL and GA4 camps from D-4 to D-3.
• Reorganized the "Toss Article Collection" and "Daangn Case Studies" with newer content links.

The competitor is refreshing their content marketing strategy by highlighting new case studies (like outdoor advertising) and updating job market information to attract career-switchers and students.

• Added a top banner promoting a 40% discount on SQL and GA4 camps ending October 16th.
• Updated the "Popular Posts" section to feature marketing-focused articles, such as "Marketing is completed through data analysis" and "7 essential paid ad metrics."
• Replaced technical A/B testing theory articles with practical case studies from companies like Laftel and Toss.
• Updated the "Recommended Posts" section with new guides on GTM for non-developers and portfolio building tips.
• Changed the countdown timers for early bird discounts from D-10 to D-4.

데이터리안 is shifting its content strategy to attract marketers and non-developers. By highlighting tools like Google Tag Manager (GTM) and marketing metrics, they are expanding their target audience beyond traditional data analysts.