Key Takeaways
- 1.0% expected global real GDP growth in 2024 (IMF forecast), indicating a low-growth environment that can affect consumer discretionary spending including cosmetics
- €6.8 billion annual spending on “cosmetics and personal care” in the EU by consumers across online retail in 2023 (Eurostat/EC Digital Economy and Society data as reported in trade analysis)
- 42% of consumers said they will pay more for a better customer experience (PwC consumer survey finding used widely in CX benchmarking)
- 11.4% CAGR forecast for the global cosmetics market from 2024 to 2030 (Grand View Research CAGR figure)
- The U.S. skin care market size was $22.8 billion in 2023 (Grand View Research subcategory sizing)
- The U.S. hair care products market size was $15.5 billion in 2023 (Grand View Research market sizing)
- 48% of consumers say they need customer service to respond within 1 hour to have a good experience (Khoros customer expectations research as reported by Khoros)
- 60% of consumers expect the brand to know their purchase history and preferences (Salesforce “State of the Connected Customer” expectations figure)
- 35% of customers leave a website after only 15 seconds if the page is not loading
- Over 75% of beauty shoppers say they want to see products in use (Ape or AR research reported by Gartner/industry sources as stated in vendor studies)
- The average cost of a data breach in the U.S. is $9.36 million (IBM Cost of a Data Breach Report 2023) which can raise security and CX costs for cosmetics firms
- Cart abandonment rate is 70% on average across eCommerce sites (Baymard average benchmark)
- 46% of consumers say they read customer reviews more than once before making a purchase
- 60% of consumers have used a mobile app to shop at least once in the past month
- 47% of consumers expect personalized offers based on their browsing history
With low growth but fast rising expectations, cosmetics brands must deliver seamless, personalized CX to drive sales.
Industry Trends
Industry Trends Interpretation
Market Size
Market Size Interpretation
Performance Metrics
Performance Metrics Interpretation
Cost Analysis
Cost Analysis Interpretation
User Adoption
User Adoption Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Afolabi. (2026, February 13). Customer Experience In The Cosmetics Industry Statistics. Gitnux. https://gitnux.org/customer-experience-in-the-cosmetics-industry-statistics
Marcus Afolabi. "Customer Experience In The Cosmetics Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-in-the-cosmetics-industry-statistics.
Marcus Afolabi. 2026. "Customer Experience In The Cosmetics Industry Statistics." Gitnux. https://gitnux.org/customer-experience-in-the-cosmetics-industry-statistics.
References
- 1imf.org/en/Publications/WEO/Issues/2024/10/08/world-economic-outlook-october-2024
- 2ec.europa.eu/eurostat/statistics-explained/index.php?title=E-commerce_statistics_for_individuals
- 3pwc.com/gx/en/industries/consumer-markets/consumer-insights-survey.html
- 4gartner.com/en/newsroom/press-releases/2024-04-11-gartner-customer-experience-top-priority
- 21gartner.com/en/articles/why-ar-and-vr-matter-for-retail
- 5g2.com/articles/live-chat-statistics
- 6ibm.com/thought-leadership/customer-experience-study
- 22ibm.com/reports/data-breach
- 7salesforce.com/resources/research-reports/state-of-service/
- 17salesforce.com/resources/research-reports/state-of-the-connected-customer/
- 8grandviewresearch.com/industry-analysis/cosmetics-market
- 9grandviewresearch.com/industry-analysis/skin-care-products-market
- 10grandviewresearch.com/industry-analysis/hair-care-products-market
- 11grandviewresearch.com/industry-analysis/perfume-fragrance-market
- 12statista.com/statistics/270137/uk-makeup-market-size/
- 13zendesk.com/blog/customer-experience-statistics/
- 14allerin.com/consumer-experience-statistics/
- 15forrester.com/report/the-state-of-voice-assistants/
- 25forrester.com/report/global-customer-experience-strategies/
- 16khoros.com/resources/customer-service-expectations-study
- 18gomez.com/blog/what-customer-wants-ecommerce-performance
- 19thinkwithgoogle.com/intl/en-apac/consumer-insights/mobile-site-speed/
- 20globenewswire.com/news-release/2023/09/14/2746112/0/en/Cart-Abandonment-Statistics-2023.html
- 23baymard.com/lists/cart-abandonment-rate
- 24kpmg.com/xx/en/home/insights/2024/11/customer-experience-and-service-expectations.html
- 26brightlocal.com/research/local-consumer-review-survey/
- 27businessofapps.com/data/mobile-shopping-statistics/
- 28campaignlive.com/article/personalization-statistics-2024/1936500







