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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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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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 country : United States

 city : Columbus

US

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

Introduction

Zara and ASOS have fundamentally changed the economics of fashion retail. Zara's famed two-week design-to-shelf pipeline and ASOS's catalogue of tens of thousands of SKUs have forced every US fashion brand — from mid-market DTC startups to established national retailers — to rethink how fast they move, how they price, and how quickly they respond to market shifts.

For US fashion brands trying to compete with these global giants, manual price monitoring is not a strategy — it is wishful thinking. Zara reprices frequently, ASOS runs rolling promotions across thousands of SKUs, and both respond to competitor moves within days. Without automated price intelligence, US brands are always reacting too late, discounting unnecessarily, or leaving margin on the table when competitors are actually at full price.

Actowiz Solutions builds fashion e-commerce price monitoring pipelines that give US brands real-time visibility into Zara and ASOS pricing strategies — enabling smarter, faster, and more profitable pricing decisions across their own catalog.

Why Zara and ASOS Set the Pricing Benchmark for US Fashion Brands

Zara and ASOS occupy different but equally influential positions in the US fashion market:

Zara: The global benchmark for fast fashion quality-at-price positioning. Zara's prices signal what the aspirational mid-market consumer expects to pay for trend-driven clothing. When Zara prices a blazer at $89, it anchors the buyer's reference price for the category.

ASOS: The volume benchmark. With 85,000+ SKUs and aggressive promotional activity, ASOS constantly signals the lowest acceptable price for fashionable basics and trend pieces. Their markdown cadence and discount depth are the most-watched pricing signals in online fashion.

US fashion brands that do not track these benchmarks are pricing in the dark — unable to assess whether their prices are positioned competitively, aspirationally, or expensively relative to the anchors their customers are most familiar with.

What Fashion Price Monitoring Data Actowiz Solutions Captures

Actowiz Solutions' fashion price monitoring pipeline extracts the following data from Zara, ASOS, and other fashion retail targets:

Data Type	Description	Zara Frequency	ASOS Frequency	Strategic Use
Regular price	Full retail price per SKU	Daily	Daily	Category price anchoring
Sale price	Reduced price during promotional events	Real-time	Real-time	Discount depth benchmarking
Markdown %	Percentage reduction from regular price	Daily	Daily	Promotional intensity tracking
Clearance pricing	End-of-season clearance price	Weekly	Daily	Inventory liquidation signals
Price by category	Avg. price across tops, bottoms, dresses, etc.	Weekly	Weekly	Category-level competitive positioning
New arrival pricing	Price at which new styles debut	Daily	Daily	Launch price strategy benchmarking
Stock availability	In-stock vs. sold-out by size/color	Daily	Daily	Sell-through and demand signals
Multi-buy promotions	Buy 2 get 1, 3 for X price offers	Real-time	Real-time	Bundle pricing strategy

Sample Data: Zara vs. ASOS vs. US Brand Price Comparison

Below is a sample of the structured price comparison data Actowiz Solutions delivers to US fashion brand clients, benchmarking their pricing against Zara and ASOS across key categories:

Category	Zara Avg. Price	ASOS Avg. Price	Your Brand Avg.	Position vs. Zara	Position vs. ASOS	Pricing Verdict
Women's Tops	$39.90	$28.00	$48.00	+20% above	+71% above	Premium — justify or adjust
Women's Dresses	$69.90	$52.00	$72.00	+3% above	+38% above	Aligned with Zara
Denim Jeans	$59.90	$45.00	$55.00	-8% below	+22% above	Competitive vs. Zara
Outerwear	$129.00	$98.00	$145.00	+12% above	+48% above	Premium positioning OK
Swimwear	$39.90	$32.00	$62.00	+55% above	+94% above	Significantly overpriced
Knitwear	$49.90	$38.00	$52.00	+4% above	+37% above	Competitive vs. Zara
Footwear	$79.90	$65.00	$89.00	+11% above	+37% above	Slight premium — monitor

The swimwear category stands out immediately: the US brand is priced 55% above Zara and 94% above ASOS for comparable product types. Unless the brand has a clear differentiation story (premium fabric, sustainability, performance features) that justifies this gap, they are likely losing significant swimwear conversions to cheaper alternatives.

Tracking Zara's Markdown Cadence: The Most Watched Pattern in Fast Fashion

Zara's markdown strategy is one of the most predictable — and most exploitable — pricing patterns in global fashion retail. Actowiz Solutions tracks Zara's markdown lifecycle to reveal the timing and depth of their promotional events:

Event	Typical Timing	Discount Depth	Duration	Categories Most Affected	US Brand Opportunity
Mid-Season Sale	Jan & Jul	20–50% off	2–3 weeks	All categories	Hold prices — buyers comparison shopping
End-of-Season Clearance	Feb & Aug	50–70% off	3–4 weeks	Previous season inventory	Premium positioning opportunity
Pre-Holiday Buildup	Nov (pre-Black Friday)	10–20% off	1–2 weeks	Gifting categories	Compete with targeted offers
Black Friday / Cyber Monday	Late Nov	30–50% off	1 week	All categories	Matching essential for high-volume items
Post-Holiday Clearance	Dec 26 – Jan 5	40–60% off	10 days	Holiday & gift items	Restock opportunity — buyers upgrading
New Arrival Premium	Weekly restocks	Full price only	1–3 weeks	New season styles	Match launch price timing

US brands that understand Zara's markdown calendar can plan their own promotional events strategically — launching sales when Zara is at full price to capture price-sensitive buyers, and holding full price when Zara is discounting (signaling to buyers that quality justifies the premium).

ASOS Promotional Intelligence: Decoding the Discount Machine

ASOS operates with one of the most aggressive promotional calendars in online fashion. Actowiz Solutions monitors ASOS's discount activity continuously, tracking:

• Sitewide discount codes and their depth (10%, 15%, 20%, 25%+ off)
• Category-specific promotions targeting specific buyer segments
• Student discount programs and loyalty-based pricing tiers
• Flash sale frequency and duration patterns
• Free shipping threshold changes — a key conversion lever
• ASOS Premium delivery pricing vs. standard shipping costs

ASOS Promotional Calendar Sample (2026)

Month	ASOS Promotional Activity	Avg. Discount Depth	Days on Promotion	Competitor Response Needed
January 2026	New Year Sale + Clearance	30–50% off	22 of 31 days	High — counter with value messaging
February 2026	Valentine's + Monthly Code	15–20% off	14 of 28 days	Medium — targeted offers
March 2026	Spring Launch + Student Promo	20–25% off	18 of 31 days	Medium — newness focus
April 2026	Easter Sale + Earth Day	15–30% off	20 of 30 days	High — sustainable brand angle
May 2026	Bank Holiday Flash + Loyalty	20% off	12 of 31 days	Low — hold pricing

Building a Competitive Pricing Response to Fast Fashion Giants

US fashion brands cannot match Zara or ASOS on scale or promotional frequency. But they can out-position them with intelligence-driven strategies:

• Value Narrative: When ASOS is running 30% off sitewide, your brand's full-price positioning needs a clear value narrative — better fabrics, ethical manufacturing, superior fit — communicated actively in ads and email.
• Niche Pricing Zones: Identify specific subcategories where Zara and ASOS are consistently overpriced or underserved, and position competitively in those zones to capture redirected demand.
• New Arrival Timing: Zara's new arrivals always debut at full price. Timing your own new launches to coincide with Zara's new arrival cycle captures buyers in a full-price mindset rather than a discount expectation.
• Complementary Pricing: Price hero pieces at Zara-parity and basics below ASOS to offer buyers a compelling full-outfit value proposition across both reference price anchors.

Actowiz Solutions: Your Fashion Price Intelligence Partner

Actowiz Solutions has developed specialized fashion retail scraping infrastructure that handles the unique technical challenges of extracting data from Zara's and ASOS's frequently updated, JavaScript-heavy storefronts:

• Dynamic page rendering to capture prices loaded via JavaScript frameworks
• Variant-level scraping across thousands of SKUs including all size and color combinations
• International price normalization across GBP, EUR, and USD for ASOS global pricing
• Category taxonomy mapping that aligns Zara and ASOS categories with your own product hierarchy
• Historical price archiving for trend analysis going back months or years

Conclusion

For US fashion brands competing in a market anchored by Zara and ASOS, pricing intelligence is not optional — it is the difference between growing a profitable brand and being perpetually undercut or overpriced. Understanding how these fashion giants price, promote, and mark down their inventory gives US brands the market context to make every pricing decision with confidence.

Actowiz Solutions provides the automated fashion price monitoring infrastructure that makes this intelligence accessible, continuous, and actionable. From daily Zara price benchmarking to ASOS promotional calendar tracking, Actowiz Solutions ensures your US fashion brand is always pricing with full market awareness.

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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                    [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

+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 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.

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 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.

Feb 24, 2026

EazyDiner Reservation Data Scraping API – Solve Competitive Benchmarking and Location Expansion Challenges

EazyDiner Reservation Data Scraping API from EazyDiner helps solve competitive benchmarking and location expansion for data-driven growth.

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.

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

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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.

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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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