Customer Emotion Detection for Beauty Brands: Understanding What Customers Truly Feel

A customer stands in front of a virtual mirror and tries five different lipstick shades. The system records every interaction: which shades were viewed, how long each one stayed on screen, and which product was ultimately selected.

What it doesn't capture is the brief smile when the right shade appears, the hesitation before switching to another color, or the moment a customer's expression subtly changes after seeing themselves in a new look.

Those reactions often influence purchasing decisions, yet they rarely appear in traditional analytics.

This is where Imentiv AIcomes in. Through customer emotion detection for beauty brands, it analyzes facial expressions, engagement, and behavioral signals during live or recorded virtual try-on sessions, helping luxury beauty brands understand not just what customers chose, but how they responded throughout the experience.

 

Why Virtual Try-On Still Has a Blind Spot

Virtual makeup try-on has transformed how customers discover beauty products. For decades, however, beauty advisors did more than recommend products. They observed customers' reactions.

A smile after trying a lipstick.

A raised eyebrow while comparing two foundation shades.

A brief pause before making a final choice.

These subtle moments often revealed confidence, uncertainty, excitement, or hesitation without customers ever saying a word.

While virtual try-on recreated the product experience, interpreting customers' emotional reactions remained a blind spot.

Imentiv AI brings those reactions into view by continuously analyzing emotions throughout every session. It captures both obvious reactions, such as smiles, raised eyebrows, and moments of hesitation, as well as subtle facial expressions and emotional changes that can be difficult to consistently observe across long research sessions or large participant groups. By applying the same analysis across every session, Imentiv AI provides a consistent approach to understanding participant responses at scale. This gives researchers richer emotional context, helping them identify meaningful reactions and behavioral patterns throughout the experience.

  

Why Emotional Reactions Matter

Luxury beauty purchases are rarely driven by product features alone. Customers often choose products because they feel more confident, expressive, or aligned with their identity.

 

Gallup's own research has found that about 70% of decisions are based on emotional factors, with only 30% driven by rational factors, a pattern that holds even when people believe they're weighing pros and cons.

For beauty brands, this means facial expressions and emotional reactions add valuable context alongside behavioral data such as product selections, viewing time, and interaction patterns. Two customers may spend the same amount of time comparing identical shades yet experience completely different emotional responses. Understanding those differences helps explain customer decisions with greater confidence.

 

Turning Reactions Into Consumer Intelligence

Capturing emotional reactions is valuable. Understanding them at scale is where the real business value begins.

Imentiv AI analyzes  facial expressions,, voice, and tone at the same time, along with engagement and behavioral signals throughout live or recorded virtual try-on sessions, identifying moments of excitement, hesitation, delight, confusion, and changing engagement as they happen.

Instead of manually reviewing hours of customer recordings, product, retail, and marketing teams receive emotional insights that help validate product concepts, refine customer experiences, optimize merchandizing strategies, and make more confident decisions before launch.  

Built for Beauty Product Testing at Scale

As virtual try-on programs expand, so does the volume of customer interactions. Reviewing hundreds of sessions manually becomes impractical.  

Imentiv AI helps teams scale product testing by analyzing uploaded and recorded customer sessions together within a workspace. Sessions can be  automatically organized into a single project, making it easy to compare participant responses across products, identify which sessions showed stronger engagement, positive emotional responses, or moments of hesitation, and spot patterns across an entire study.  

What More Is Possible?  

The  Insights feature allows teams to ask questions about their Product testing research, for example :

• How many participants responded positively to each product?
• Which participants hesitated between Shade A and Shade B?
• How did customer reactions differ between participant groups?

Instead of spending weeks reviewing video footage of virtual try-ons and comparing results, teams can move from customer interactions to actionable insights in minutes.

 

See the Reaction Behind Every Try-On

 

Discover how customer emotion detection for beauty brands helps transform virtual makeup try-on into actionable consumer insights.

 

Request a demo to see Imentiv AI in action.