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Track dynamic pricing & discount trends across Coupang, Gmarket & Lotte On with Actowiz Solutions’ web scraping intelligence. Discover key patterns & markdowns.
The South Korean e-commerce ecosystem is characterized by hyper-competitiveness, digital maturity, and an insatiable appetite for deals. Giants like Coupang, Gmarket, and Lotte On have transformed online shopping into a battleground of dynamic pricing, flash sales, and real-time discount offers. For brands trying to enter or expand in this space, understanding these discount wars is critical.
Actowiz Solutions partnered with global clients to provide an in-depth analysis of price fluctuations and discount patterns across the top three platforms. Our data-driven insights help brands navigate the pricing complexities of Korean e-commerce and deploy intelligent pricing strategies.
The client, a multinational beauty and FMCG brand, was entering the Korean e-commerce market but lacked clarity on how prices shifted across Coupang, Gmarket, and Lotte On. They struggled with:
They needed a centralized solution that could deliver real-time price monitoring and identify the best timing and platform to launch discount campaigns.
To address these challenges, Actowiz Solutions deployed its proprietary web scraping infrastructure, AI-powered product matching algorithms, and time-series analytics to extract and interpret dynamic e-commerce pricing behavior.
Steps Taken:
1. Platform Mapping – Coupang, Gmarket, and Lotte On URLs and category structures indexed.
2. Hourly Data Capture – Automated cron-based scraping at KST time zones.
3. Price Delta Tracking – Each product’s price monitored over 30 days.
4. Flash Sale Tag Detection – Parsing time-restricted deal labels.
5. Normalization – Product name clustering to handle variations.
6. Data Visualization – Dashboards created using Power BI and Python visual libraries.
This multi-layered approach ensured precision and real-time visibility.
Actowiz Solutions deployed its proprietary Dynamic Scraper Engine (DSE) to extract hourly data from each platform with the following parameters:
Tools and Frameworks Used: - Python + Scrapy for scraping - MongoDB for real-time storage - Actowiz Analytics Suite for processing and visualization - AI-based Product Matching to de-duplicate and normalize product variants
Each platform exhibited clear time-based discount patterns:
Implication: Brands should target ad campaigns and push notifications aligned with these time slots.
| Category | Coupang Avg. Discount | Gmarket Avg. Discount | Lotte On Avg. Discount |
|---|---|---|---|
| Beauty | 26% | 30% | 34% |
| Fashion | 16% | 19% | 18% |
| Electronics | 10% | 13% | 14% |
| Home Goods | 21% | 23% | 22% |
Observation: Beauty and Home categories had the highest markdowns, especially on weekends.
Sample:
| Product | Platform | List Price | Flash Sale Price | Discount | Time Window |
|---|---|---|---|---|---|
| Samsung Galaxy Tab S8 | Coupang | ₩789,000 | ₩719,000 | 8.9% | 10:30–12 AM |
| Innisfree Green Tea Set | Gmarket | ₩28,500 | ₩21,500 | 24.5% | 3–4 PM |
| LG CordZero Vacuum | Lotte On | ₩700,000 | ₩630,000 | 10% | 11 AM–1 PM |
Some brands controlled their discount cycles, while others depended on platform-triggered promotions:
Insight: Brands with direct control used scheduled sales, while others relied on platform exposure.
| Time | Platform | Product | Price | Sale Price | Discount % | In Stock | Category |
|---|---|---|---|---|---|---|---|
| 2025-06-15 10:00 | Coupang | Laneige Water Sleeping Mask | 28,000 | 21,900 | 21.8% | Yes | Beauty |
| 2025-06-16 15:00 | Gmarket | Nike Men’s Air Zoom Pegasus | 119,000 | 102,000 | 14.3% | Yes | Fashion |
| 2025-06-17 11:30 | Lotte On | Samsung SSD 1TB | 139,000 | 118,000 | 15.1% | Yes | Electronics |
1. 12% boost in ROAS by targeting ads to flash deal slots
2. 30% improvement in affiliate CTR using real-time price comparison widgets
3. Enabled dynamic pricing strategy for their SKUs sold on Lotte On
4. Launched a daily deals tracker for internal sales teams to match or beat market pricing
5. Deployed dashboard with alerting system on price drops beyond 20%
“Actowiz Solutions gave us a pricing edge we never imagined. With real-time tracking across Coupang, Gmarket, and Lotte On, we restructured our campaign calendar, saved ad budget, and improved customer targeting. The dashboards were intuitive, and the insights helped us enter Korea with confidence.”
– Digital Marketing Director, Global Beauty Brand
The Korean e-commerce battlefield requires real-time visibility, agile pricing decisions, and predictive deal tracking. Platforms like Coupang, Gmarket, and Lotte On have developed distinct price rhythms and flash sale behaviors. Brands equipped with intelligence from Actowiz Solutions can align their pricing and campaigns to stay ahead.
As global e-commerce becomes more algorithmic, data-led decisions are the only way to survive the price wars.