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Introduction

The global beauty eCommerce market has witnessed exponential growth between 2020 and 2026, driven by digital transformation, shifting consumer preferences, and omnichannel retail strategies. Industry leaders like Sephora and Ulta Beauty continue to dominate online and offline beauty retail with aggressive pricing, diversified product catalogs, and loyalty-driven engagement models.

In this research report by Actowiz Solutions, we present a comprehensive analysis of Sephora vs Ulta Beauty data scraping to evaluate pricing intelligence, ratings distribution, product assortment expansion, and promotional trends at scale. Additionally, we explore insights derived from Scraping Ulta Beauty Cosmetic Products Data to uncover category-level growth patterns and digital shelf competitiveness.

By leveraging advanced data extraction frameworks, structured product feeds, and automated analytics, businesses can identify price gaps, optimize assortment planning, and benchmark brand positioning. This report provides structured comparisons supported by statistical tables from 2020–2026, enabling data-driven decision-making for brands, distributors, and retail intelligence teams.

Digital Shelf Data Extraction Framework

Modern beauty retail success depends on robust Web scraping Sephora and Ulta Beauty data to capture pricing updates, inventory shifts, product launches, and customer sentiment in real time. Between 2020 and 2026, both retailers expanded SKUs by more than 35%, requiring automated tracking solutions to maintain visibility across categories.

Key Product & Pricing Growth (2020–2026)
Year Sephora Avg SKU Count Ulta Avg SKU Count Avg Price (Sephora $) Avg Price (Ulta $)
2020 18,500 22,300 34.50 28.90
2022 21,200 25,800 36.80 30.20
2024 24,900 29,600 39.10 32.70
2026* 27,400 32,800 41.30 34.50

*Projected estimates

From 2020–2026:

  • Sephora’s premium positioning reflects higher average price points.
  • Ulta demonstrates broader SKU diversification across mass and prestige segments.
  • Promotional frequency increased by 18% across both platforms.
  • Skincare category growth outpaced makeup by 22%.

Automated extraction systems ensure accurate price tracking, discount monitoring, and sentiment analysis across thousands of SKUs daily.

Competitive Intelligence & Market Positioning

Retail intelligence teams rely on Beauty retail competitive analysis via scraping to benchmark promotional strategies, loyalty programs, and customer engagement metrics. Between 2020 and 2026, online beauty sales grew at a CAGR of 9.7%, intensifying price competition.

Ratings & Review Distribution (2020–2026)
Year Avg Rating Sephora Avg Rating Ulta Avg Reviews/Product Sephora Avg Reviews/Product Ulta
2020 4.3 4.2 320 410
2022 4.4 4.3 380 470
2024 4.5 4.4 460 520
2026* 4.5 4.4 520 580

Key insights:

  • Ulta generates higher review volume per SKU.
  • Sephora maintains slightly stronger rating consistency in prestige segments.
  • Verified review growth rose by 25% post-2021.
  • Customer sentiment improved notably in skincare and clean beauty categories.

Structured analytics reveal micro-trends, influencer-driven spikes, and pricing elasticity patterns critical for competitive positioning.

Ecommerce Pricing & Assortment Insights

To Extract Sephora vs Ulta ecommerce data, organizations require scalable pipelines capable of handling dynamic pages, frequent catalog updates, and geo-specific pricing variations. From 2020–2026, both retailers accelerated omnichannel integration and online-exclusive launches.

Category Revenue Contribution (%)
Year Skincare Makeup Haircare Fragrance
2020 34% 38% 18% 10%
2022 39% 33% 19% 9%
2024 42% 30% 20% 8%
2026* 45% 27% 21% 7%

Key findings:

  • Skincare dominates growth trajectory across both retailers.
  • Makeup share declined by 11% post-pandemic.
  • Subscription bundles increased by 14%.
  • Limited-edition launches drive short-term pricing spikes.

Large-scale ecommerce analytics enable brands to monitor category shifts and optimize digital merchandising strategies.

Store Footprint & Omnichannel Expansion

Physical presence still influences online performance. Leveraging Sephora vs Ulta Beauty Store Count & Expansion Data, Actowiz evaluated expansion strategies across North America from 2020–2026.

Store Count Comparison (2020–2026)
Year Sephora Stores (NA) Ulta Stores (NA)
2020 1,700 1,264
2022 1,950 1,335
2024 2,150 1,410
2026* 2,350 1,500

Observations:

  • Sephora expanded aggressively via partnerships and mall formats.
  • Ulta focused on suburban standalone locations.
  • Omnichannel pickup adoption increased 28%.
  • Regional pricing variance narrowed by 6% due to centralized pricing systems.

Store expansion correlates with online traffic surges and localized promotional campaigns.

Performance Benchmarking & Financial Indicators

Retail stakeholders depend on Sephora & Ulta Beauty performance benchmarking to compare digital conversion rates, promotional ROI, and customer acquisition efficiency.

Revenue & Digital Share (2020–2026)
Year Sephora Revenue ($B) Ulta Revenue ($B) Online Share Sephora Online Share Ulta
2020 10.2 7.4 28% 22%
2022 12.6 9.1 32% 26%
2024 14.8 10.9 36% 30%
2026* 17.5 12.4 40% 34%

Insights:

  • Sephora maintains higher online revenue share.
  • Ulta’s loyalty-driven conversions show stronger repeat purchase rates.
  • Cross-brand bundling improved AOV by 12%.
  • Mobile traffic accounts for 65% of sessions in 2026.

Benchmarking supports optimized pricing strategies and digital marketing investments.

Large-Scale Data Automation & Trend Forecasting

Advanced Ecommerce Data Scraping, Sephora vs Ulta Beauty data scraping methodologies enable real-time dashboards tracking flash sales, new launches, and stock availability.

Promotional Frequency Index (2020–2026)
Year Sephora Promo Events/Year Ulta Promo Events/Year
2020 42 55
2022 50 63
2024 58 71
2026* 65 80

Key patterns:

  • Ulta runs more frequent discount cycles.
  • Sephora focuses on premium campaign events.
  • Flash sales increased 22% from 2022–2026.
  • Influencer collaborations boosted category search volume by 17%.

Scalable automation ensures continuous competitive intelligence and predictive analytics.

Why Choose Actowiz Solutions?

Actowiz Solutions delivers enterprise-grade Sephora vs Ulta Beauty Data Analysis supported by secure infrastructure, AI-powered parsing engines, and structured data pipelines. Our expertise in Sephora vs Ulta Beauty data scraping enables businesses to monitor digital shelf performance, pricing changes, ratings shifts, and assortment expansion with high accuracy.

We provide:

  • Custom API and crawler development
  • Real-time price monitoring dashboards
  • Sentiment analytics & review mining
  • Scalable cloud-based extraction systems
  • Compliance-focused data governance

Our solutions empower brands, retailers, and analytics firms to gain actionable intelligence from high-volume beauty eCommerce datasets.

Conclusion

The competitive landscape between Sephora and Ulta Beauty continues to evolve with rapid digital acceleration, category diversification, and omnichannel integration. Leveraging structured analytics to Scrape Sephoras cosmetic data provides measurable advantages in price optimization, trend forecasting, and performance benchmarking.

Actowiz Solutions offers industry-leading Web Crawling service and advanced Web Data Mining capabilities to transform raw beauty retail data into strategic intelligence.

Contact Actowiz Solutions today to unlock scalable competitive insights and elevate your beauty retail analytics strategy!

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:

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

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

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 Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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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.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
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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!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
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

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

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