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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

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  • Affiliate Marketing Boosted via Naver Coupon Scraping

Driving Affiliate Sales and Promotions with Naver Coupon Scraping in High-Demand Markets

Learn how global affiliates use real-time Naver coupon scraping to list hot deals, drive traffic, and improve sales in top-performing high-demand markets.

Download Case Studies

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
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Case-Study-Actowiz-Solutions-–-ML-Driven-Cart-Abandonment-Triggers-from-SKU-Trends-in-Zapp-UK

Introduction

In the fast-paced world of affiliate marketing, securing timely and accurate promotional data is crucial to sustaining competitive advantage. With the explosion of Korean e-commerce, particularly through Naver Shop, global digital marketers have tapped into an invaluable resource: real-time coupon data. This case study outlines how Actowiz Solutions empowered affiliates and promotion-driven e-commerce partners by harnessing live Naver coupon insights to drive sales and promotional effectiveness in high-demand markets worldwide.

By automating the extraction of dynamic coupon data from Naver Shop, Actowiz Solutions enabled its client—a global network of affiliate marketers—to create localized deal listings, optimize ad spending, and dramatically boost conversion rates. This comprehensive study provides an in-depth look into the strategy, implementation, and outcomes of the solution.

Client Overview

The-Client

The client is a global affiliate network specializing in fashion, beauty, and lifestyle products, with active marketing operations in:

  • North America (United States, Canada)
  • Europe (UK, Germany)
  • Asia-Pacific (Singapore, Australia)
  • South-East Asia (Indonesia, Malaysia)

These affiliates had three primary objectives:

  • 1. Real-Time Access: Obtain up-to-the-minute coupon data from Korea’s Naver Shop.
  • 2. Localized Promotion: Tailor affiliate deals and promotions to match local market trends.
  • 3. Revenue Optimization: Enhance affiliate revenue through better, timely sales opportunities driven by real-time data.

Business Challenge

The affiliate network faced several challenges inherent to cross-border digital marketing:

  • 1. Data Delays: Traditional manual data collection methods were too slow. Coupons on Naver Shop are time-sensitive, with many offers expiring in hours, if not minutes. This delay hindered the network’s ability to publish timely promotions.
  • 2. Data Quality: Inconsistent data formats, inaccurate discount values, and language barriers (due to Korean content) were common issues.
  • 3. Integration Complexity: Affiliates operated through diverse content management systems and needed an API solution that could integrate seamlessly into existing platforms.
  • 4. Competitive Pressure: Other global affiliates were beginning to use automated scraping, making it essential to upgrade technology to retain a competitive edge.

Actowiz Solutions’ Approach

The-Client

To overcome these challenges, Actowiz Solutions designed a fully automated, scalable Naver coupon scraping platform. The project was executed in three phases:

1. Discovery and Planning
  • Market Analysis: A detailed study of the Naver coupon landscape was undertaken. Actowiz’s analysts evaluated different types of coupons (e.g., percentage-off, buy-one-get-one) and their frequency of change.
  • Client Needs Assessment: Meetings with affiliate managers helped determine required fields (e.g., coupon title, discount value, expiry, and product category) and integration points within the affiliate’s digital ecosystem.
  • Strategy Formulation: A plan was drafted to integrate data scraping with an AI-powered classification engine to standardize and translate coupon information.
2. Platform Development
  • Automated Scraping Infrastructure:
    • Technology Stack: Developed using Python and Scrapy for crawling, combined with Selenium to handle JavaScript-loaded content.
    • Data Pipelines: Real-time data was ingested using RESTful API endpoints and stored in a cloud database (Google BigQuery), ensuring scalability and speed.
    • Proxy Rotation and Anti-Bot Measures: Implemented using residential IP proxies and randomized user agents to bypass geo-restrictions and anti-scraping mechanisms.
  • Data Transformation and Localization:
    • Natural Language Processing (NLP): Integrated to automatically translate Korean coupon information into the target languages of the affiliate regions.
    • Standardization Engine: Normalized various coupon formats into a unified schema for seamless downstream processing.
  • Integration and API Deployment:
    • Custom API: Developed to deliver JSON-formatted coupon data directly into affiliate CMS systems.
    • Dashboard Interfaces: Provided real-time visualizations via Google Data Studio, enabling affiliates to filter and analyze live coupon trends by region.
3. Testing, Launch, and Continuous Improvement
  • Pilot Phase: The system was first deployed to a subset of affiliate partners. Feedback was collected regarding data freshness, accuracy, and the ease of integrating the API.
  • Iterative Refinements: Based on client inputs, scraping intervals were optimized to every two hours during peak promotion windows. Data translation accuracy was improved using additional language resources.
  • Full-scale Launch: Following successful testing, the platform was rolled out to the entire affiliate network. Regular monitoring and maintenance ensured 99.8% uptime.

Sample Coupon Data Extracted

The following table illustrates sample data extracted by Actowiz’s system:

Coupon Title Category Discount Expiration Translated Text Region Tags
화장품 특별 할인 (Beauty Special Discount) K-Beauty 30% 2025-07-01 Beauty Special Discount USA, UK, Singapore
한정기간 BOGO (Limited BOGO) Apparel Buy One Get One 2025-06-25 Limited BOGO Offer Canada, Germany
K-푸드 할인전 (K-Food Sale) Food 20% 2025-06-28 K-Food Sale Australia, Indonesia
특별 가격, 지금 구매! (Special Price, Buy Now!) Lifestyle 35% 2025-06-30 Special Price, Buy Now! Malaysia, Singapore

This sample data demonstrates how coupon titles are captured in Korean, automatically translated, and tagged with region-specific identifiers to aid localized marketing efforts.

Results & Key Performance Indicators (KPIs)

The-Client

After the full-scale implementation of the scraping solution, the affiliate network witnessed significant improvements across multiple metrics:

Campaign Performance
  • Faster Time-to-Publish: With automated scraping, coupon data was delivered in near real-time, reducing publication delays from up to 7 hours to less than 2 hours.
  • Conversion Rate Uplift: Affiliate campaigns utilizing live coupon data experienced conversion rate improvements averaging 20% across all regions.
  • Click-Through Rate (CTR) Increase: Real-time, localized coupon listings led to a 2.5x increase in CTR for affiliate content.
Revenue Impact
  • Affiliate Revenue Growth: Monthly affiliate revenues saw an average rise of 35%, translating into significant commission increases.
  • Competitive Advantage: The network now captured a larger share of high-demand deals, outperforming competitors still reliant on manual or semi-automated data feeds.
Operational Efficiency
  • Data Accuracy: Automated methods increased coupon data accuracy from 60% (manual scraping) to over 98%.
  • Cost Reduction: The adoption of cloud-based data storage and proxy rotation reduced operational costs by 18%.
  • User Adoption: Over 85% of affiliate partners reported higher satisfaction with the new system, citing improved deal visibility and streamlined workflow.

A detailed KPI summary is provided below:

KPI Before Actowiz After Actowiz
Data Update Frequency 7+ hours 2 hours
Coupon Data Accuracy ~60% 98%+
Campaign Conversion Rate +12% +20%
Affiliate Revenue Growth Baseline steady +35% monthly
Cost Savings — 18% reduction

These metrics underscore the significant business impact achieved through Actowiz’s innovative coupon scraping strategy.

Technical Architecture and Workflow

Scraping Engine Details
  • Scrapy & Selenium:

    • Actowiz leveraged Scrapy for crawling static pages and Selenium for dynamically generated content on Naver Shop. This hybrid approach ensured comprehensive data capture.

  • Proxy Pool Management:

    • A managed pool of residential proxies was maintained, enabling continuous access without triggering Naver’s anti-bot filters.

  • Error Handling and Logging:

    • Robust error capture and logging routines were implemented to handle unexpected changes in Naver’s website structure.

Data Processing Pipeline
  • 1. Data Extraction:

    • The scraping engine retrieves coupon data every two hours during peak promotion windows.

  • 2. Data Cleaning and Normalization:

    • Extracted data is processed to remove duplicates and standardize varying coupon formats.

  • 3. Language Translation:

    • Coupon titles in Korean are passed through an NLP-based translation module, ensuring accurate conversion into English or other target languages.

  • 4. Data Enrichment:

    • Coupons are enriched with additional metadata such as category classification, discount value standardization, and region tagging.

  • 5. API Delivery & Dashboard Integration:

    • Processed data is delivered in JSON format via a secure REST API. Simultaneously, real-time dashboards provide visual summaries to affiliate managers.

Dashboard Features

    The real-time dashboard, built using Google Data Studio, offers:

    • Filtering Options: By region, category, discount type, and expiry time.
    • Visual Analytics: Heatmaps, time-series trends, and conversion analysis charts.
    • Custom Alerts: Automated notifications to affiliates when high-value coupons are active.

      • These features allow affiliate teams to make proactive decisions, ensuring that promotional content is both timely and appealing to their target audience.

Client Testimonial

“Actowiz Solutions’ real-time coupon scraping platform completely transformed our approach to affiliate marketing. The ability to dynamically update our listings with live Naver coupon data has not only improved our campaign efficiency but also driven a significant boost in revenue. We can now serve our audiences fresh deals that genuinely reflect the market trends in Korea.”

— Head of Global Affiliate Strategy

Challenges Overcome

Dealing with Rapid Expiry
  • Issue: Many coupons on Naver Shop are extremely transient.
  • Solution: Scraping frequency was strategically increased during key promotional windows to capture fleeting offers. Real-time push notifications were integrated, alerting affiliates immediately when deals were live.
Language and Cultural Nuances
  • Issue: The Korean language and unique idiomatic expressions could lead to misinterpretations.
  • Solution: A dedicated NLP engine was integrated for accurate translation and normalization, ensuring that the promotional text resonated with local audiences without losing the original offer’s intent.
Integration Complexity
  • Issue: Affiliates operated on diverse CMS platforms, and a one-size-fits-all solution was not feasible.
  • Solution: A flexible, modular API was developed, allowing affiliates to easily integrate real-time coupon feeds into their respective systems, regardless of the platform.

Future Enhancements

Based on the success of the initiative, Actowiz Solutions is planning additional upgrades:

  • Predictive Analytics: Leveraging historical coupon data to forecast upcoming deals and trends.
  • Enhanced Personalization: Using machine learning to tailor deal recommendations based on user behavior data.
  • Broader Market Coverage: Expanding scraping capabilities to include additional Korean shopping portals and social commerce platforms.
  • Real-Time A/B Testing: Providing affiliates with tools to test different coupon presentation formats to maximize engagement.

Key Takeaways

  • Real-Time Data Drives Results: Automated scraping reduced data latency, enabling campaigns to react within hours rather than days.
  • Localized Insights Matter: Translating and tailoring data for each region significantly boosted campaign effectiveness.
  • Integration Is Key: A robust, flexible API ensured smooth adoption across varied technological ecosystems.
  • Revenue Impact: The enhanced strategy contributed to a 35% increase in monthly revenue and substantially improved conversion metrics.

For brands and affiliates looking to gain a competitive edge in a rapidly changing digital marketplace, Actowiz Solutions delivers a proven methodology that transforms raw data into strategic business value. With a continued focus on innovation, the future looks promising for affiliates who are ready to embrace real-time insights and agile marketing strategies.

Conclusion

In today’s hyper-competitive affiliate marketing landscape, having access to real-time, high-quality data can make the difference between average and exceptional campaign performance. Actowiz Solutions has demonstrated that advanced coupon scraping technology—especially applied to dynamic environments like Naver Shop—can revolutionize how global affiliates drive traffic, enhance conversions, and boost revenue.

By automating the extraction of live coupon data and transforming it into actionable insights, this project empowered affiliate partners across multiple high-demand markets to better serve their audiences with timely promotions. The success of this project underlines the critical role of innovative data scraping in modern digital marketing, positioning affiliates to respond quickly and effectively to emerging trends.

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Coffee / Beverage / D2C

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“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.”

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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.”

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Product Manager, 24Mantra Organic

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“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!”

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improvement in operational efficiency

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“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

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Faster

Trend Detection

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“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

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Enhanced

stock tracking across SKUs

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“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

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'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
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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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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%

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Zepto Q Commerce Brand

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

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