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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [validAttributes:protected] => Array
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    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
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                            [iso_code] => OH
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                    [validAttributes:protected] => Array
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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
)

Introduction

The US online fashion retail market is simultaneously the most competitive and the most data-rich environment in e-commerce. With hundreds of national and international brands competing for the same fashion-conscious buyers, pricing decisions made without competitive intelligence are among the most costly mistakes a retailer can make.

Apparel price intelligence — the systematic collection, analysis, and application of competitor pricing data — has become a foundational capability for US online fashion retailers. From single-brand DTC stores to multi-brand fashion platforms, the retailers growing fastest are those with the clearest, most current view of the competitive pricing landscape they operate in. Actowiz Solutions provides the web scraping infrastructure that makes this intelligence accessible, automated, and actionable for US fashion retailers of every scale.

The US Online Fashion Retail Pricing Landscape

The US online fashion market spans an enormous price spectrum and competitive set. Actowiz Solutions categorizes the competitive landscape into tiers that shape how price intelligence is applied:

Market Tier	Key Retailers	Avg. Price Range	Discount Frequency	Consumer Segment	Pricing Strategy
Ultra Fast Fashion	Shein, Temu, Fashion Nova	$5–$35	Constant	Gen Z, price-first	Volume + perpetual sale
Fast Fashion	Zara, H&M, ASOS, Boohoo	$20–$95	Frequent (2x/month)	Millennial, trend-driven	Value + promotional
Mid-Market DTC	Quince, Everlane, Madewell	$45–$180	Seasonal	Millennial, quality-aware	Transparent + occasional
Premium DTC	Veronica Beard, Vince, Theory	$120–$450	Rare	Affluent, brand-loyal	Full-price-first
Luxury	Net-A-Porter, Matches, Farfetch	$300–$5,000+	Very rare	Affluent luxury buyers	Price = exclusivity signal

Understanding which tier a US retailer competes in — and which adjacent tiers exert pricing pressure — is the first step in building an effective price intelligence program. Actowiz Solutions tailors monitoring targets to match each client's competitive tier.

Core Price Intelligence Data Points for Apparel Retailers

Effective apparel price intelligence requires tracking more than just the current selling price. Actowiz Solutions captures a comprehensive price data set for each monitored SKU:

• Regular price — the non-promotional full price used as the anchor
• Sale price — the current selling price when promoted
• Compare-at or was-price — the displayed 'original price' used to signal discount value
• Discount percentage — the stated or calculated reduction from regular price
• Category average price — the mean price across all SKUs in a given category
• Price per use case — athletic vs. casual vs. occasion pricing within the same brand
• Seasonal markdown timing — when items move from full price to promotional to clearance
• Variant pricing — whether different colors or sizes are priced differently

Sample Data: US Fashion Retailer Competitor Price Benchmarking

Below is a sample of the category-level price intelligence Actowiz Solutions delivers to US online fashion retailers:

Category	Zara	ASOS	Madewell	Everlane	Fashion Nova	Your Brand	Market Avg.	Your Position
Basic Tee	$22.90	$18.00	$29.50	$30.00	$12.99	$34.00	$24.68	+38% above avg
Denim Jeans	$49.90	$42.00	$128.00	$68.00	$29.99	$75.00	$62.78	+19% above avg
Midi Dress	$69.90	$55.00	$148.00	$98.00	$34.99	$89.00	$82.98	+7% above avg
Linen Pants	$45.90	$38.00	$88.00	$78.00	$22.99	$68.00	$56.18	+21% above avg
Blazer	$89.90	$72.00	$225.00	$148.00	$49.99	$95.00	$116.98	-19% below avg
Swimwear One-Piece	$49.90	$38.00	$78.00	$68.00	$24.99	$85.00	$51.78	+64% above avg

The swimwear and basic tee categories stand out as significant outliers. The US brand's swimwear is 64% above market average — a position that requires either a strong premium justification or an immediate pricing review. Conversely, the blazer is priced 19% below market average, representing a potential margin improvement opportunity if demand holds at a higher price point.

Markdown Monitoring: The Most Time-Sensitive Price Intelligence

In fashion retail, the difference between capturing margin and leaving money on the table often comes down to markdown timing. Actowiz Solutions provides real-time markdown monitoring that tracks when, how deeply, and for how long competitors are discounting:

Retailer	Current Sale	Discount Depth	Sale Started	Est. End Date	Categories on Sale	Your Overlap %	Recommended Action
ASOS	Sitewide 20% off	20%	Feb 24	Mar 2	All categories	High (85%)	Hold price — capture value buyers
Zara	New collection full price	None	N/A	N/A	None	N/A	Align new arrivals at full price
H&M	30% off selected items	30%	Feb 20	Feb 28	Outerwear, knitwear	Medium (40%)	Counter in outerwear only
Fashion Nova	40% off sitewide + free ship	40%	Feb 22	Ongoing	All	Very High	Do not compete — hold premium
Madewell	Final sale 25–50% off	25–50%	Feb 15	Mar 8	Previous season	Low (20%)	No action needed

New Arrival Price Tracking: Benchmarking Launch Prices

Understanding at what price competitors launch new products is as important as tracking their current prices. Actowiz Solutions monitors new arrival pricing to reveal:

• Launch price benchmarks by category — what price competitors debut new styles at
• Price-to-markdown timeline — how long after launch before prices drop
• New arrival pricing strategy — whether competitors launch premium and mark down vs. launch competitively and hold
• New style categories — which categories are receiving the most new inventory investment
• Color and fabrication premium signals — whether certain materials command launch price premiums

Automating Price Intelligence for Large Catalogs

US online fashion retailers managing thousands of SKUs face a specific challenge: the scale of competitor monitoring required grows proportionally with catalog size. Actowiz Solutions scales to any catalog size with:

• Bulk ASIN/SKU ingestion: Monitor thousands of competitor SKUs simultaneously with no performance degradation.
• Category-level aggregation: For large catalogs, roll-up reports showing category average prices rather than individual SKU tracking for executive reporting.
• Change detection alerts: Rather than reviewing all price data daily, Actowiz Solutions alerts only when prices change by more than a defined threshold — reducing noise and focusing attention.
• Historical price database: All scraped prices are stored, enabling trend analysis, seasonal pattern recognition, and year-over-year benchmarking.

Competitive Pricing Strategy for Different US Retail Segments

Actowiz Solutions tailors price intelligence applications based on the specific competitive position of each US retailer:

Retailer Type	Primary Intelligence Need	Key Competitors to Monitor	Alert Priority	Reporting Cadence
Mid-market DTC brand	Premium positioning validation	Zara, Madewell, Everlane	Zara markdown events	Weekly benchmark
Fashion marketplace	Category-level competitiveness	ASOS, Nordstrom, Revolve	Any price change >10%	Daily feed
Value fashion retailer	Floor price protection	ASOS, H&M, Fashion Nova	All promotions	Real-time alerts
Luxury online retailer	Aspirational positioning	Net-A-Porter, Farfetch	New arrival pricing	Monthly digest
Niche specialty brand	Category-specific benchmarks	Target competitors + Zara	Sale launch events	Weekly digest

Conclusion

Apparel price intelligence is not a tactical tool — it is a strategic foundation for every US online fashion retailer that takes its competitive positioning seriously. Whether you are benchmarking against Zara and ASOS, tracking markdown events that affect your conversion rates, or validating the premium positioning of your launch prices, the quality of your pricing decisions is limited by the quality of your competitive data.

Actowiz Solutions gives US online fashion retailers the automated web scraping infrastructure to turn the competitive pricing landscape into a structured, continuously updated intelligence asset. From category benchmarking and markdown monitoring to new arrival tracking and historical trend analysis, Actowiz Solutions is the apparel price intelligence partner that powers confident, data-driven pricing decisions.

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

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                (
                    [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

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Project Timeline * Immediate 1–3 Months Planning Phase

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

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.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Fintech / Digital Payments

Result

Accurate daily voucher &

cashback visibility across platforms

★★★★★

“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”

Product Manager, Fintech Platform (India)

✓ Daily voucher & cashback tracking via Push & Pull APIs

View Case Studies

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

View Case Studies

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×

View Case Studies

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

View Case Studies

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

View Case Studies

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

View Case Studies

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

View Case Studies

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

View Case Studies

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

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

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“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!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

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

Request Demo Access

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

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

Feb 27, 2026

Apparel Price Intelligence: Web Scraping for US Online Fashion Retailers

US online fashion retailers use Actowiz Solutions for apparel price intelligence — automating competitor price tracking, markdown monitoring, and category benchmarking.

How We Helped a Fine Dining Brand Reduce Discount Leakage with District by Zomato Reservations and Offers Data Scraping

Helped a fine dining brand reduce discount leakage by tracking competitor offers and reservation trends using District by Zomato Reservations and Offers Data Scraping.

Manual Data Collection vs Automated Scraping — Which Saves More Time & Cost?

Discover the key differences between manual data collection and automated web scraping. Learn which method saves more time, reduces costs, and improves efficiency for your business in 2026.

Scrape Largest Limited Service Restaurants In The United States In 2026 For Competitive Market Insights

Scrape Largest Limited Service Restaurants In The United States data for competitive insights, pricing, and market trends (2026). data extra

Feb 27, 2026

Apparel Price Intelligence: Web Scraping for US Online Fashion Retailers

US online fashion retailers use Actowiz Solutions for apparel price intelligence — automating competitor price tracking, markdown monitoring, and category benchmarking.

Feb 26, 2026

How Miami Fashion Brands Scrape Trend Data from Instagram and Pinterest

Miami fashion brands use Actowiz Solutions to scrape Instagram and Pinterest trend data, identify viral styles, and launch on-trend collections weeks ahead of rivals.

Feb 25, 2026

Fashion E-Commerce Price Monitoring: How US Brands Track Zara and ASOS

Learn how US fashion brands use Actowiz Solutions to monitor Zara and ASOS pricing, track markdowns, and stay competitive in fast fashion e-commerce.

Read More

How We Helped a Fine Dining Brand Reduce Discount Leakage with District by Zomato Reservations and Offers Data Scraping

Helped a fine dining brand reduce discount leakage by tracking competitor offers and reservation trends using District by Zomato Reservations and Offers Data Scraping.

How We Empowered a Food Brand with Scraping Restaurants Data from iFood Platform for Competitive Growth

Drive growth by scraping restaurants data from iFood platform to gain pricing, menu, and competitor insights for smarter decisions and expansion.

How We Transformed a Cloud Kitchen Brand’s Growth Strategy with Swiggy and Zomato Data Intelligence API

Boosted a cloud kitchen brand’s growth using Swiggy and Zomato data intelligence API for pricing, demand, and competitor insights.

Read More

Manual Data Collection vs Automated Scraping — Which Saves More Time & Cost?

Discover the key differences between manual data collection and automated web scraping. Learn which method saves more time, reduces costs, and improves efficiency for your business in 2026.

10 Ways Data Scraping Drives Business Growth & Market Intelligence

Discover 10 powerful ways data scraping boosts business growth, from competitive price intelligence and demand forecasting to inventory tracking and market monitoring.

Grocery Price Movement Tracker – Walmart, Instacart & Target

Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

Read More

Scrape Largest Limited Service Restaurants In The United States In 2026 For Competitive Market Insights

Scrape Largest Limited Service Restaurants In The United States data for competitive insights, pricing, and market trends (2026). data extra

Scrape Largest Apparel And Accessory Stores Data In The US - 10 Largest Stores In 2026 Market Share, Revenue & Expansion Analysis

Scrape Largest Apparel And Accessory Stores Data In The US to track pricing, inventory trends, market share, and competitive retail insights in real time.

US Pizza Chain Analysis - Pizza Shops Growth, Consumer Demand & Pricing Strategies

US Pizza Chain Analysis covering pizza shops growth, consumer demand & pricing strategies.

Read More

Our perks are irreplaceable

Time Zone Flexibility

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.

Clear Communication

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.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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