How to use data analytics in the beauty industry to unlock key beauty consumer insights

The beauty industry, with its vast array of products, preferences, and personas, has traditionally been guided by intuition, expertise, and a keen sense of aesthetics.

However, as digitization sweeps across sectors, the beauty world is undergoing a transformation.

At the heart of this change lies the combined force of virtual makeup try-ons and data analytics in the beauty industry. Together, they’re emerging as a game-changer, offering deeper beauty consumer insights than ever before.

Now, let’s explore how and why that is, as well as how face analysis technology plays into that picture.

The importance of data analytics in the beauty industry


Understanding the powerful duo of virtual try-ons and data analytics means recognizing the undeniable value of data in modern beauty.

1. Customization: Contemporary consumers seek products that resonate with their unique needs. By capturing and interpreting their preferences, brands can curate personalized products or suggest the perfect shades and styles.
2. Predictive analysis: With robust data, brands can preemptively identify the next significant beauty trend, whether it’s a lipstick shade or a coveted foundation type.
3. Enhanced marketing strategies: Delving into consumer behavior in the beauty industry optimizes advertisement strategies, influencer alliances, and platform engagements, ensuring maximum ROI.

Now, let’s see how this plays out when integrating face analysis technology with a virtual try-on, and how it benefits your brand.

Face Analysis for deeper beauty consumer insights

Virtual makeup try-ons are an invaluable asset for cosmetic brands of all types and sizes. But when further enriched with data analytics, their potential can be groundbreaking.

Our proprietary Face Analysis technology is the go-to provider of such solutions. We’ve been developing this technology and innovating in the field of face tech for over two decades now, relying on our highly experienced team and an in-house research and development center.

You can integrate Face Analysis with your virtual try-on solution and analyze your consumers’ faces in real time. And since our Face Analysis comes with modules designed for emotion, age, and gender detection, you can get detailed data and a holistic view of your consumers.

Face analysis-Arbelle

This means that by integrating face analysis technology with a virtual try-on, your brand can:

  • Tailor product recommendations based on age or gender.
  • Identify potential market segments or gaps based on users’ demographic data.
  • Understand emotional reactions to products in real time.

Let’s now dive a bit deeper into this data and how you can capitalize on it.

✧ Demographics and behavior insights

Integrating face analysis with a virtual try-on solution offers brands a comprehensive look into their consumers. It can amass and interpret valuable demographic data like age and gender.

This deep insight into customer demographics helps you create highly targeted, personalized offers and marketing campaigns. For example, you can detect peak usage times for specific age or gender groups, and then optimize marketing strategies or roll out special offers accordingly.

Moreover, it helps you understand the popularity of different products among various demographics. For instance, if a particular lipstick shade is a hit among women in their 20s but not those in their 40s, you can gain valuable and actionable insights. And these can then guide your marketing strategies, inform product recommendations and development, and enhance the overall customer experience.

In essence, understanding your customer’s age and gender preferences through face analysis technology isn’t just a fancy tech integration. It’s a strategic move, one that can propel your brand to unprecedented heights in the beauty industry.

And a study by McKinsey & Company only goes to show it. It highlights that businesses that effectively use customer behavior insights achieve 85% better sales growth than their peers.

Therefore, by blending age and gender analysis with AI’s prowess in the beauty domain, you’re not just staying ahead of the curve. You’re reshaping it and gaining a formidable competitive edge.

✧ Real-time emotion analytics

An even deeper layer of customer analytics emerges with the integration of an emotion analysis module.


This cutting-edge feature allows brands to tap into real-time emotional responses of consumers as they navigate a virtual try-on. Interpreting facial expressions during these sessions offers your brand a window into the immediate consumer reactions to various products and looks.

This means that you can get a real-time feedback system that will empower you to swiftly pinpoint and address concerns, as well as adapt your strategies in harmony with live feedback from users.

Embrace the data-driven future

For brands ready to embrace this data-driven future, the road ahead is promising but requires you to continuously analyze, adapt, and evolve.

By tapping beauty consumer insights and understanding consumer behavior in the beauty industry, you can provide more personalized, efficient, and delightful experiences to your users.

Because in the world of beauty, the future is not just about looking good; it’s about feeling understood. And you can achieve that with your customers by forging deeper, data-driven connections.

Arbelle is here to help you on that journey, so don’t hesitate to contact us and tell us what you need!

Get started with Arbelle

Contact us today and we’ll help you create the optimal beauty AR experience while leveraging key consumer data.