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GeoIp2\Model\City Object
(
    [raw:protected] => Array
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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            [postal] => Array
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            [registered_country] => Array
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                    [geoname_id] => 6252001
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [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
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [es] => Estados Unidos
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [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
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [ip_address] => 216.73.216.141
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [2] => connectionType
                    [3] => domain
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                    [11] => isPublicProxy
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [location:protected] => GeoIp2\Record\Location Object
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
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                )

        )

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

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

    [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
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                                    [pt-BR] => Ohio
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                                )

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                    [validAttributes:protected] => Array
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                            [1] => geonameId
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)
 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
)
Case Study Naver Store Seasonal Sales Analysis – Discount Trends During Korean Chuseok Festival-0

Introduction

Seasonal shopping events in South Korea, such as the Chuseok Festival, play a major role in shaping consumer buying behavior and retailer strategies. For businesses selling on Naver, South Korea’s largest eCommerce platform, monitoring seasonal pricing and promotions is crucial. Actowiz Solutions provided an advanced approach to Naver Store Seasonal Sales Analysis, enabling retailers to uncover hidden opportunities during one of the most competitive shopping periods. By leveraging Naver Store discount data scraping, we helped track discount percentages, monitor flash deals, and evaluate the overall Naver Store Festival Sale Trends. Using a combination of Ecommerce Data Scraping , advanced eCommerce Data Intelligence, and reliable Web Scraping Services , Actowiz ensured the client gained actionable insights to align with consumer demand. This case study highlights how comprehensive analysis of Chuseok Festival Sales and Naver Store Discounts enabled the client to maximize returns while protecting brand value and improving strategic decisions.

The Client

The client was a mid-sized retailer specializing in lifestyle and household products with a strong presence on Naver Store. Despite achieving steady sales throughout the year, they struggled to maximize their performance during high-traffic festival periods such as Chuseok. The brand needed deeper insights into how competitors structured their Naver Store Seasonal Offers and where the biggest Naver Store Price Drops occurred. They were particularly interested in understanding how Naver Price Monitoring could influence their promotional strategy and pricing alignment. The client wanted a tailored strategy that could help them anticipate Chuseok Festival Price Analysis patterns while ensuring competitiveness against leading brands. To achieve this, they turned to Actowiz Solutions for customized data-driven insights that went beyond traditional monitoring tools. The goal was not only to improve festival sales performance but also to establish stronger Brand Protection by ensuring their pricing remained competitive without harming their brand image.

Key Challenges

Key Challenges-01

The client faced multiple challenges during seasonal sales periods on Naver. One of the biggest hurdles was the lack of structured data on competitor discounting and promotional strategies. Despite being aware of the intense competition during the Chuseok Festival Sales, the client lacked clarity on when discounts peaked and which product categories experienced the steepest Naver Store Price Drops. Without an accurate Naver Store Seasonal Sales Analysis, they were unable to strategically plan promotions or time their offers to match consumer buying surges. Another critical issue was the absence of reliable monitoring of Naver Store Discounts, making it difficult to detect real-time fluctuations and short-term flash deals. Furthermore, the client struggled with Naver Store Festival Sale Trends that varied greatly by category, making inventory planning complex. Traditional reporting methods were slow, manual, and error-prone, which weakened their ability to take advantage of eCommerce Data Intelligence . Lastly, competitor promotions often impacted their visibility, creating risks for both sales volume and Brand Protection, leaving them vulnerable to missed opportunities and reduced customer loyalty.

Key Solutions

The-Client

Actowiz Solutions addressed these challenges with a comprehensive data-driven strategy built around Naver Store Seasonal Sales Analysis. By implementing Naver Store discount data scraping, we provided structured datasets that allowed the client to track discount rates, promotion timelines, and competitor activity in real-time. This approach highlighted the true scope of Naver Store Festival Sale Trends, including which product categories attracted the highest consumer interest during the Chuseok period. Through automated Naver Price Monitoring, the client gained visibility into competitor strategies, enabling smarter pricing adjustments and promotional campaigns. Actowiz also provided detailed Chuseok Festival Price Analysis, which identified when consumers were most responsive to offers and which discounts generated the strongest sales impact. With integrated Ecommerce Data Scraping, the client received continuous tracking of seasonal promotions, giving them an edge in forecasting. In addition, Actowiz applied eCommerce Data Intelligence to correlate price drops with sales spikes, helping the client allocate resources effectively. This ensured that Naver Store Seasonal Offers were not only competitive but also aligned with consumer expectations. Beyond seasonal insights, the integration of advanced analytics contributed to stronger Data Intelligence, driving better planning across future campaigns. By combining robust insights with protective measures, Actowiz helped the client secure Brand Protection while achieving a measurable sales lift during the Chuseok Festival.

Client Testimonial

“Actowiz Solutions transformed the way we approached Naver sales. Their Naver Store Seasonal Sales Analysis and real-time data insights gave us the clarity we had been missing during competitive festival periods. The accuracy of their Naver Store discount data scraping and in-depth reporting on Naver Store Festival Sale Trends helped us achieve record performance during the Chuseok Festival. We could finally align pricing, promotions, and inventory with consumer expectations while maintaining our brand value. Actowiz has become our trusted partner in leveraging eCommerce Data Intelligence for seasonal campaigns.” ”

— Head of E-Commerce, Lifestyle Retail Brand

Conclusion

The case of this retailer illustrates how Actowiz Solutions enabled better pricing strategies and competitive positioning during South Korea’s most significant shopping season. By leveraging Naver Store Seasonal Sales Analysis, Naver Store Discounts, and Chuseok Festival Price Analysis, Actowiz delivered actionable insights that helped the client optimize promotions, strengthen Brand Protection, and achieve higher sales growth. The use of Naver Store Price Drops and automated tracking through Naver Price Monitoring provided real-time visibility that traditional systems could not match. With advanced Data Intelligence at the core, Actowiz ensured the client could maximize their share of Chuseok Festival Sales while setting the foundation for long-term success.

Maximize your seasonal eCommerce performance with Actowiz Solutions. From Naver Store Seasonal Sales Analysis to Price Monitoring Services, we turn data into intelligence for smarter decisions!

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

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.

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

★★★★★

“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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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.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
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1 min
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“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
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Febbin Chacko
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1 min

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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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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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