Sephora vs Ulta Beauty scraping data comparison reports 2026

Author : Actowiz Solution | Published On : 20 Feb 2026

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)

 

• 2020
   

  • Sephora Avg SKU Count: 18,500

  • Ulta Avg SKU Count: 22,300

  • Avg Price: Sephora $34.50, Ulta $28.90
     

• 2022
   

  • Sephora Avg SKU Count: 21,200

  • Ulta Avg SKU Count: 25,800

  • Avg Price: Sephora $36.80, Ulta $30.20
     

• 2024
   

  • Sephora Avg SKU Count: 24,900

  • Ulta Avg SKU Count: 29,600

  • Avg Price: Sephora $39.10, Ulta $32.70
     

• 2026* (Projected)
   

  • Sephora Avg SKU Count: 27,400

  • Ulta Avg SKU Count: 32,800

  • Avg Price: Sephora $41.30, Ulta $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)

2020
 

• Avg Rating: Sephora 4.3, Ulta 4.2

• Avg Reviews/Product: Sephora 320, Ulta 410
   

2022
 

• Avg Rating: Sephora 4.4, Ulta 4.3

• Avg Reviews/Product: Sephora 380, Ulta 470
   

2024
 

• Avg Rating: Sephora 4.5, Ulta 4.4

• Avg Reviews/Product: Sephora 460, Ulta 520
   

2026* (Projected)
 

• Avg Rating: Sephora 4.5, Ulta 4.4

• Avg Reviews/Product: Sephora 520, Ulta 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 (%)

• 2020
   

  • Skincare: 34%

  • Makeup: 38%

  • Haircare: 18%

  • Fragrance: 10%
     

• 2022
   

  • Skincare: 39%

  • Makeup: 33%

  • Haircare: 19%

  • Fragrance: 9%
     

• 2024
   

  • Skincare: 42%

  • Makeup: 30%

  • Haircare: 20%

  • Fragrance: 8%
     

• 2026* (Projected)
   

  • Skincare: 45%

  • Makeup: 27%

  • Haircare: 21%

  • Fragrance: 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)

• 2020
   

  • Sephora Stores (NA): 1,700

  • Ulta Stores (NA): 1,264
     

• 2022
   

  • Sephora Stores (NA): 1,950

  • Ulta Stores (NA): 1,335
     

• 2024
   

  • Sephora Stores (NA): 2,150

  • Ulta Stores (NA): 1,410
     

• 2026* (Projected)
   

  • Sephora Stores (NA): 2,350

  • Ulta Stores (NA): 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)

• 2020
   

  • Sephora Revenue: $10.2B

  • Ulta Revenue: $7.4B

  • Online Share: Sephora 28%, Ulta 22%
     

• 2022
   

  • Sephora Revenue: $12.6B

  • Ulta Revenue: $9.1B

  • Online Share: Sephora 32%, Ulta 26%
     

• 2024
   

  • Sephora Revenue: $14.8B

  • Ulta Revenue: $10.9B

  • Online Share: Sephora 36%, Ulta 30%
     

• 2026* (Projected)
   

  • Sephora Revenue: $17.5B

  • Ulta Revenue: $12.4B

  • Online Share: Sephora 40%, Ulta 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)

• 2020
   

  • Sephora: 42

  • Ulta: 55
     

• 2022
   

  • Sephora: 50

  • Ulta: 63
     

• 2024
   

  • Sephora: 58

  • Ulta: 71
     

• 2026* (Projected)
   

  • Sephora: 65

  • Ulta: 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!