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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] => 216.73.216.115 [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] => 216.73.216.115 [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 )
Explore skin type-based skincare insights in Korea using Naver Beauty Categories, uncovering trends, product preferences, and consumer behavior across categories.
Note: You’ll receive it via email shortly after submitting the form.
In the highly dynamic Korean beauty market, understanding consumer behavior by skin type is critical for product strategy and market positioning. Actowiz Solutions partnered with leading K-Beauty brands to deliver Skin Type-Based Skincare Insights using Naver Data for Skincare Trends. By leveraging advanced Web Scraping Services, we collected granular data across thousands of product listings, encompassing moisturizers, serums, cleansers, sunscreens, masks, and targeted treatments for different skin types. Using AI-Powered Web Scraping and Web Scraping API Services, our system ensured high accuracy and real-time updates. This dataset, combined with Ecommerce Data Scraping and Web scraping cosmetic products data, enabled brands to identify Skin Type Product Trends Korea, forecast demand, and benchmark against competitors. With insights into Korean Skincare Market Research, Skin Type Analysis, and Skincare Consumer Insights, brands can optimize inventory, launch targeted campaigns, and create products tailored to varying skin profiles. The integration of Korean Skincare Data, Beauty Product Analytics, and K-Beauty Category Analysis provided a holistic view of the market, empowering decision-makers to adapt to evolving trends while maximizing sales and customer satisfaction.
From 2020 to 2025, demand for moisturizers tailored to oily and combination skin increased steadily. Our analysis of Skin Type-Based Skincare Insights and Naver Data for Skincare Trends shows a YoY growth of 12% in product searches for “oil-control moisturizers” in 2021, rising to 18% by 2025. Urban consumers accounted for 65% of purchases, while tier-2 cities contributed 35%, reflecting regional adoption differences. Historical sales data indicate that lightweight gel moisturizers gained 22% market share over cream-based alternatives between 2020–2025. By applying Web scraping cosmetic products data, we tracked competitor pricing and promotions, revealing that products priced between 15,000–25,000 KRW achieved the highest repeat purchase rates.
This analysis enabled clients to optimize inventory, preventing stockouts while maintaining profitability.
Korean Skincare Market Research revealed a 25% growth in antioxidant and brightening serums between 2020 and 2025. Using Skin Type-Based Skincare Insights, we observed that dry skin serums were the most searched category on Naver, representing 40% of total serum-related queries. Urban centers drove 60% of sales, while tier-2 cities contributed 40%, highlighting the need for region-specific marketing. By leveraging Beauty Product Analytics, we analyzed price sensitivity, showing products priced 25,000–40,000 KRW had a 15% higher repeat purchase likelihood. Seasonal spikes occurred during winter months, with an average 12% volume increase in December across all skin types. Naver Fashion Data confirmed that customer reviews mentioning “hydration” and “non-greasy” were strongly correlated with sales velocity. The table below reflects serum volumes (in thousand units):
This allowed precise stock allocation by skin type, boosting sales efficiency.
Skin Type Trends indicated a strong preference for foam and gel cleansers among combination skin consumers. From 2020 to 2025, searches for “gentle foaming cleansers” grew 20% YoY. Skin Type-Based Skincare Insights showed urban buyers preferred high-end products, while tier-2 consumers opted for budget-friendly options. Using Korean Skincare Data, we tracked price elasticity, revealing that a 10% price decrease resulted in a 7% increase in sales. The Naver datasets highlighted that sensitive skin cleansers with pH-balanced formulas saw a 15% higher repeat purchase rate. Table:
These insights helped brands align product launches with consumer needs.
Korean Skincare Market Trend Analysis indicated growing demand for lightweight sunscreens and SPF cushions. Between 2020–2025, sales volume increased 30% for urban regions and 20% for tier-2 cities. Naver Fashion Data for Inventory allowed clients to monitor Skin Type-Based Skincare Insights, revealing that oily skin consumers preferred matte finishes, while dry skin preferred hydrating formulas. Price monitoring using Web Scraping API Services highlighted that products in the 20,000–35,000 KRW range had the highest repeat purchase probability. Seasonal peaks occurred from April to August, reflecting the summer sun demand surge. Table:
These insights supported effective promotional planning and inventory management.
Skincare Consumer Insights revealed high adoption of sheet masks targeting hydration and brightening. Skin Type-Based Skincare Insights demonstrated YoY growth of 15% in urban regions and 10% in tier-2 cities. Korean E-commerce Fashion Analytics identified that multi-pack masks had higher repeat purchase rates. Seasonal peaks were observed during winter and spring, reflecting climate influence. Pricing analysis using Ecommerce Data Scraping showed optimal pricing at 8,000–15,000 KRW per unit for maximizing sales. Table:
This helped optimize SKU assortment and promotional strategies.
Demand for anti-aging and acne treatments grew rapidly from 2020–2025. Naver Fashion Data analysis showed urban adoption rates at 70% and tier-2 at 30%. Skin Type-Based Skincare Insights revealed that acne-prone consumers favored salicylic acid-based formulas, while anti-aging serums gained popularity among 30–45-year-old users. Using Web scraping cosmetic products data, competitive pricing analysis showed a 10–15% price gap between top-performing and mid-tier brands drove consumer switching. Table:
These insights enabled precise inventory and campaign planning.
This research demonstrates the power of Skin Type-Based Skincare Insights in driving effective product and inventory strategies for Korean beauty brands. By leveraging Naver Data for Skincare Trends, brands gain access to real-time demand metrics, competitive intelligence, and consumer preference analysis. Actowiz Solutions’ integration of Web Scraping API Services, AI-Powered Web Scraping, and Ecommerce Data Scraping enabled brands to monitor Skin Type Product Trends Korea, forecast demand across urban and tier-2 regions, and optimize product assortments. Insights into moisturizers, serums, cleansers, sunscreens, masks, and targeted treatments provide a comprehensive understanding of evolving consumer needs. With the ability to analyze YoY changes, volume growth, and seasonal spikes from 2020–2025, brands can make data-driven decisions, reduce stockouts, and improve customer satisfaction. Actowiz Solutions empowers clients with Korean Skincare Market Research, Skincare Consumer Insights, and Beauty Product Analytics, enabling strategic growth in Korea’s competitive beauty landscape.
Unlock actionable skin type-based insights today to optimize your product offerings, enhance inventory efficiency, and drive sales growth in the K-Beauty market.
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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Discover how Scrape SpiritStore.co.uk Discounts & Deals uncovers trends in UK consumer liquor demand, tracking promotions, clearance offers, and buying patterns.
Actowiz Solutions analyzes FirstCry’s festive discounts to reveal price, demand, and sales trends for diaper brands during India’s top shopping seasons.
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Discover how Product Variants, Offers & Discount Scraping reveals a 30% increase in promotions across quick commerce and supermarket websites for smarter strategies.
Leverage the Wayfair Ratings and Reviews Aggregate API to efficiently collect, analyze, and consolidate customer ratings and reviews across the USA market.
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See how Actowiz Solutions scraped and organized current Indian government schemes across healthcare, education, agriculture, and business sectors.
Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.
Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.
This research report uses KEETA Menu Data Extraction to reveal high-demand dishes and peak ordering hours across Saudi Arabia.
Discover key insights in the UK retail market with our Research Report – Price Matching & Availability Analysis for Lidl, tracking pricing trends and stock availability.
Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.
Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations