Project Overview

Real-time engagement on major communities like Ppomppu and managing a pool of 1,100+ influencers required enormous manual resources and risked missing critical timing windows. We aimed to build a hyper-automation environment that eliminates repetitive tasks entirely, allowing the marketing team to focus solely on strategy.

The Challenge

• Slow Response Times: Average 10-second community response lag versus competitors, limiting real-time traffic capture and opinion leadership
• Excessive Operational Load: Manual email sending and performance tracking for influencer management consumed dozens of hours weekly
• Strategic Resource Drain: Repetitive data aggregation and reporting drained marketing team's strategic planning capacity (6 hours weekly for reports alone)

Strategy / Solution

1. Real-Time Community Response Engine: Built Python and API-powered 24/7 monitoring for Ppomppu posts, auto-dispatching intent-matched response templates in 0.1 seconds.
2. Performance-Tracking CRM Mailing System: Developed a bulk mailing program integrated with the PPL influencer pool, featuring email open rate A/B testing and real-time read confirmation — reducing outreach time by 98%.
3. Data Pipeline Integration & Automated Reporting: Overcame spreadsheet capacity limits through BigQuery migration and built an automated reporting system eliminating manual aggregation.

"Automation isn't just about convenience — it's a technical strategy to reach customers 0.1 seconds faster than competitors and dominate market share."

Execution

• Tech Stack: Python, Selenium, API (Custom Admin), BigQuery
• Key Activities: Ppomppu comment notification system development, bulk CRM mailing system construction

Results