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  • Korean E-Commerce Price Wars: Coupang, Gmarket, Lotte On Deals

Price Wars in Korean E-Commerce: Analyzing Discounts Across Coupang, Gmarket, and Lotte On

Track dynamic pricing & discount trends across Coupang, Gmarket & Lotte On with Actowiz Solutions’ web scraping intelligence. Discover key patterns & markdowns.

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Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

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.

Challenge

The-Client

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:

  • Lack of visibility into time-based discount patterns
  • Inability to detect flash sale windows
  • Uncertainty about competitor pricing models
  • High CPC (cost-per-click) without dynamic deal alignment
  • Missed opportunities in platform-specific promotions

They needed a centralized solution that could deliver real-time price monitoring and identify the best timing and platform to launch discount campaigns.

Actowiz Solutions’ Approach

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.

Platforms Analyzed

  • Coupang – Known for its Rocket Delivery, flash sales, and aggressive pricing.
  • Gmarket – Auction-based deals, flash coupons, and affiliate incentives.
  • Lotte On – A department store-led e-commerce model, bundling luxury with price drops.

Scraping Methodology

The-Client

Actowiz Solutions deployed its proprietary Dynamic Scraper Engine (DSE) to extract hourly data from each platform with the following parameters:

  • Product Title
  • Brand Name
  • Category and Sub-Category
  • List Price (Before Discount)
  • Final Price (After Discount)
  • Discount Percentage
  • Flash Sale Flags
  • Stock Availability
  • Timestamp

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

Data Collection Timeline

  • Duration: 30 Days (June 1 – June 30, 2025)
  • Frequency: Hourly scans, totaling ~720 scans per product across three platforms
  • Products Monitored: 500+ top-selling items in Electronics, Fashion, Beauty, and Grocery

Key Insights & Findings

1. Hourly Discount Variability

Each platform exhibited clear time-based discount patterns:

  • Coupang: High discount frequency between 9 PM to 12 AM (KST).
  • Gmarket: Peak markdowns during 2 PM to 6 PM, driven by daily auction sales.
  • Lotte On: Flash sales were most common between 10 AM and 1 PM post site refresh.

Implication: Brands should target ad campaigns and push notifications aligned with these time slots.

2. Category-Based Discount Trends
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.

3. Flash Sale Behavior
  • Lotte On deployed limited-time bundles in the 10 AM–1 PM slot
  • Gmarket favored “hourly deals” with deep price drops in apparel
  • Coupang triggered nighttime flash deals on electronics and groceries

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
4. Brand vs Platform-Driven Discounts

Some brands controlled their discount cycles, while others depended on platform-triggered promotions:

  • Coupang: 60% platform-led
  • Gmarket: 40% brand-led, 60% platform-led
  • Lotte On: 70% brand-led

Insight: Brands with direct control used scheduled sales, while others relied on platform exposure.

Sample Data View

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

Business Impact for Client

The-Client

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%

Client Testimonial

“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

Strategic Takeaways

  • Real-Time Monitoring Is Critical – Static pricing models fail in Korean e-commerce
  • Platform Behavior Varies Widely – Each player has its own deal cycle strategy
  • Time-Based Clustering Drives Conversions – Late-night deals worked best
  • Beauty & Grocery Are Key Battle Zones – Margins are tight; volume compensates
  • AI-Based Alerting Needed – Manual tracking is not sustainable at scale

Conclusion

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.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
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Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

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Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

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“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Real results from real businesses using Actowiz Solutions

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'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
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Iulen Ibanez
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Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

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Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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