Success.ai’s Beauty & Cosmetics Data for Cosmetics, Beauty & Wellness Professionals Worldwide delivers a powerful dataset tailored to connect businesses with key stakeholders in the global beauty and wellness industries. Covering professionals such as product developers, brand managers, wellness coaches, and salon owners, this dataset provides verified work emails, phone numbers, and actionable professional insights.

With access to over 700 million verified global profiles and detailed insights from 170 million professional datasets, Success.ai ensures your outreach, marketing, and strategic initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is ideal for businesses aiming to lead in the competitive beauty and wellness market.

Why Choose Success.ai’s Beauty & Cosmetics Data?

1. Verified Contact Data for Effective Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of professionals in cosmetics, skincare, beauty services, and wellness industries.
   • AI-driven validation ensures 99% accuracy, reducing bounce rates and improving communication efficiency.

2. Comprehensive Global Coverage

   • Includes profiles of beauty and wellness professionals from regions such as North America, Europe, Asia-Pacific, and emerging markets.
   • Gain insights into global trends in cosmetics innovation, wellness services, and beauty product demand.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, professional roles, and market developments.
   • Stay aligned with the fast-paced nature of the beauty and wellness industry to identify opportunities and maintain relevance.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful use of data for all business initiatives.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with professionals across the beauty, cosmetics, and wellness industries worldwide.
• 170M+ Professional Datasets: Access verified contact information and detailed insights into industry leaders and innovators.
• Business Insights: Understand market trends, product innovations, and consumer preferences driving the beauty industry.
• Decision-Maker Contacts: Engage with CEOs, brand managers, product developers, and wellness leaders driving growth and innovation.

Key Features of the Dataset:

1. Comprehensive Professional Profiles

   • Identify and connect with key players, including beauty brand executives, salon owners, skincare experts, and wellness influencers.
   • Access data on career histories, certifications, and industry expertise to target the right professionals effectively.

2. Advanced Filters for Precision Targeting

   • Filter professionals by industry focus (cosmetics, wellness, skincare), geographic location, or job function.
   • Tailor campaigns to align with specific market segments, such as luxury cosmetics, wellness services, or mass-market beauty products.

3. Global Trend Insights and Market Data

   • Leverage data on emerging beauty trends, wellness innovations, and skincare demands across regions.
   • Refine product development, marketing campaigns, and customer engagement strategies based on actionable insights.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with beauty and wellness professionals.

Strategic Use Cases:

1. Marketing and Brand Outreach

   • Design targeted campaigns to promote beauty products, wellness services, or skincare innovations to industry professionals.
   • Leverage verified contact data for multi-channel outreach, including email, social media, and direct engagement.

2. Product Development and Innovation

   • Utilize market insights to guide product development and align offerings with consumer demands in cosmetics, beauty, and wellness sectors.
   • Collaborate with product developers and brand managers to refine product lines or launch new offerings.

3. Sales and Partnership Development

   • Build relationships with wellness professionals, salon owners, and beauty distributors seeking innovative tools or products.
   • Present co-branding opportunities, supply chain partnerships, or new market expansion strategies to key decision-makers.

4. Market Research and Competitive Analysis

   • Analyze beauty and wellness trends, consumer preferences, and emerging niches to refine business strategies.
   • Benchmark against competitors to identify gaps, growth opportunities, and high-demand product categories.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality beauty and wellness data at competitive prices, ensuring strong ROI for your marketing, sales, and produc...

A comprehensive dataset analyzing the beauty industry in 2025, including market size, product categories, consumer behavior, emerging trends, and global growth statistics.

In the period of time going from January 2019 to April 2024, the volume of M&A deals in the beauty and personal care industry was higher for Europe. A year before, this figure added up to 37 M&A deals for North America.

12038 Global import shipment records of Cosmetic with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Luxury Cosmetics Pop‑Up Events Dataset

A comprehensive, real-world–anchored synthetic dataset capturing 2,133 luxury beauty pop-up events across global retail hotspots. It focuses on limited-edition product drops, experiential formats, and performance KPIs—especially footfall and sell‑through. The data is designed for analytics use cases such as demand forecasting, footfall modeling, merchandising optimization, pricing analysis, and market expansion studies across regions and venue types.

What this dataset contains

• 2,133 events from global hubs across North America, Europe, Middle East, Asia‑Pacific, and Latin America
• Luxury/premium cosmetics brands and their limited‑release SKUs
• Event formats and retail venue archetypes typical of pop‑up retail
• Time windows and lease lengths aligned with short‑term pop‑up activations
• Core commercial KPIs: price, units sold, sell‑through percentage
• Footfall KPI: average daily footfall modeled by location/format/marketing intensity

Ideal use cases

• Pop‑up ROI and performance benchmarking by brand, city, venue type, and format
• Footfall prediction and location strategy (high‑street vs mall vs airport vs districts)
• Limited-edition launch analytics: pricing vs sell‑through dynamics
• Event planning: lease length and timing windows vs outcomes
• Territory planning: region and city segmentation performance
• Portfolio dashboards: cross‑brand comparisons and trend reporting

File formats

• CSV, JSON, XLSX, and SQLite (table: popups)

Target users

• Retail strategy and analytics teams
• Growth, trade marketing, and brand managers
• Data scientists building forecasting and optimization models
• BI developers building dashboards for pop‑up performance

Column Dictionary

Data quality notes

• City and end_date contain a small proportion of nulls to reflect real‑world reporting gaps (e.g., ongoing events).
• avg_daily_footfall varies by locati...

Here are a few use cases for this project:

1. eCommerce Inventory Management: The model could be effectively used for keeping track of inventory in online beauty and cosmetics stores. It can automatically identify various makeup tools and supplies, count their numbers, or even report when stocks are running low.

2. Automated Retail Checkout: This application would allow for a fully automated, cashier-less retail experience. Customers could just pick their desired beauty products and the computer vision system would identify the items instantaneously, facilitating seamless checkout.

3. Augmented Reality Makeup Applications: In virtual trial apps, where customers can try different makeup products, this model could identify the real-world counterpart of each digital tool or product, creating a more intuitive and interactive user experience.

4. Automated Product Sorting in Warehouses: Computer vision models like 'yolo' can be used in warehouses dealing with various beauty products for automated sorting, helping reduce manual labor and errors.

5. Visual Aid for Visually Impaired: The model could assist visually impaired individuals in identifying various personal care items they use daily, improving their independence when using these products.

38448 Global export shipment records of Cosmetic with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The global skincare ingredient checker market is experiencing robust growth, driven by increasing consumer awareness of skincare ingredients and their potential impact on skin health. The rise of e-commerce and readily available information online has empowered consumers to make more informed purchasing decisions, leading to a significant demand for applications and websites that decode complex ingredient lists. This market is segmented by application (skincare, color cosmetics, household, personal care products) and distribution channel (online, offline), with the online segment currently exhibiting faster growth due to its accessibility and convenience. The market is characterized by a diverse range of players, including established brands like Paula's Choice and emerging tech-driven companies like ThinkDirty and Yuka, each offering unique features and functionalities. While the precise market size in 2025 is unavailable, considering a conservative estimate based on existing market reports and the CAGR for similar sectors, we can project a global market value of approximately $500 million for 2025. This figure reflects the increasing adoption of ingredient checkers across diverse demographics and geographic regions. The market's growth is further fueled by heightened concerns about allergies, sensitivities, and the ethical sourcing of ingredients. The forecast period (2025-2033) anticipates continued expansion, driven by technological advancements in ingredient analysis, the integration of artificial intelligence for personalized recommendations, and the increasing prevalence of subscription-based models for accessing comprehensive ingredient databases. However, challenges remain, including the potential for inaccurate or incomplete ingredient data and the need for regulatory standardization to ensure accuracy and consumer trust. Furthermore, competition among existing and new entrants necessitates continuous innovation and improvement in user experience and data accuracy to maintain market share. Geographical expansion into less-developed markets also presents a significant opportunity for growth, with regions like Asia-Pacific and South America demonstrating increasing potential. This suggests the skincare ingredient checker market offers significant opportunities for investors and businesses to capitalize on this growing demand.