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How Face Analysis Helps Beauty Brands: Increase ROI & More

Mar 25, 2022 · 3 minutes read
How Face Analysis Helps Beauty Brands: Increase ROI & More

(Updated on March 25th, 2022)

With the continued push toward a digital shopping experience, brands need a way to satisfy customers remotely. That’s why AI technology is becoming more important than ever with offerings like virtual try-on and personalized shopping. These services allow a customer to mimic the in-person shopping experience by allowing them to see what products would look like on their face.

AI Facial Analysis: the Key to Personalization In the Beauty IndustryRequest A FREE Demo For AI Face Analyzer

One specific feature that may improve an online store’s offerings even further is AI Face Analysis for beauty products. This solution goes a step beyond ordinary virtual try-on and helps beauty brands better understand customer’s facial attributes to provide targeted, personalized recommendations to each shopper based on their face analysis.

What is AI Face Analysis & How It Helps Beauty Brands

What is AI Facial Analysis technology? It’s a means for beauty brands and retailers to provide their customers with a completely personalized shopping experience based on their specific attributes. The technology detects and analyzes over 70 AI facial attributes & traits, as well as one’s color palette.

AI Face Analyzer TechnologyRequest A FREE Demo For AI Face Analyzer

Based on these results, shoppers receive personalized product recommendations. These recommendations are all tailored to their needs, meaning they should perfectly match their complexion and complement their features. The tool then allows them to instantly try selected products via AR virtual try-on. They’ll get to see right away whether or not the products work for them.

Face Analysis Provides Beauty Brands with a More Tailored Customer Service Experience

Addresses the Need for Personalization

Having this type of personalization is important. As many as 71% of customers become frustrated when their shopping experience is impersonal*. When brands provide such a unique shopping experience, it can increase sales conversions and improve customer satisfaction.

Increases ROI with Virtual Try-ons

As an example, some brands report seeing a $20 return on just a $1 investment when it comes to using advanced personalization techniques similar to virtual try-on (Collins). Brands that take these extra steps to help customers enjoy the shopping experience are sure to reap similar benefits.

▶ Check Our Brand's Success Stories >

Replaces Traditional Online Survey

AI Facial Analysis helps to replace traditional online surveyRequest A FREE Demo For AI Face Analyzer

Lastly, one of the most prominent benefits of the AI Face Analysis for beauty brand is its noteworthy ability to replace the online survey method that beauty brands have traditionally relied on. This method is used to acquire essential information about each individual consumer in order for beauty brands to provide a more personalized shopping experience. However, online survey method has some significant drawbacks, such as:

  • Unreliability. Consumers don’t always provide accurate information as they simply might not know enough about their facial traits & most attractive features. For example, a customer might be unable to distinguish between a round and an oval face shape, but the AI Face Analyzer technology does so accurately and subjectively
  • Survey fatigue. Oftentimes, online surveys make customers lose their patience, as filling out surveys is a tedious and wearisome process. Most customers would not want to spend more than a minute or two on a survey prior to buying what they need. This usually causes high rates of abandonment during a shopping journey. On the contrary, the AI Face Analysis technology does not require any user inputs and completes the entire analysis in under 2 seconds.

Face Analysis Helps Customers Find the Right Beauty Products in 3 Easy Steps

AI Face Analysis can be used in a wide array of applications. Brands aren’t limited to just one type of product. Upon completing the facial analysis, AI tech can recommend makeup products, styles, looks, and suitable colors from throughout the brand’s catalog.

Step 1: Analyze Your Facial Attributes

Using makeup recommendation as an example, it becomes clearer how this would work for a brand offering numerous products. First, the user would head to the site and grant the AI Face Analyzer permission to use their likeness. The technology then analyzes the user’s facial attributes, as well as the color/shade of their hair, eyes, and lips.

Step 2: Shop the Beauty Products AI Recommended

With this data analyzed, AI and Big Data provide personalized recommendations for makeup, eyewear, and more based on the results. The result of the face analysis can determine what products would work best on the face of particular users and help them best address their concerns. The system scans for product matches based on similarities with skin tone and other facial attributes and matches them with SKUs from the brand’s inventory.

Step 3: Virtually Try On the Matched Items

Once these beauty products are selected, users can virtually try on the best-match items on their faces. They’ll be able to mix and match to see which styles they like best, and they can even find adjacent styles that they might prefer by browsing similar products. Since users will have recommendations for a wide range of beauty products for their whole face based on the face analysis, it allows brands to present their products as a whole package rather than single items.

AI Facial Analysis: 3 Easy Steps to Find the Right ProductsRequest A FREE Demo For AI Face Analyzer

Face Analysis Makes Personalized Beauty Product Recommendation Easier

The reason AI Face Beauty Analysis is so effective is because it detects and analyzes a wide range of facial features. Currently, the AI Face Beauty Analysis solution analyzes up to six facial traits and 70+ attributes for personalized recommendations that best suit the user’s face, including:

  • 6 facial attributes
  • 7 lip attributes
  • 14 eye attributes
  • 4 cheekbone attributes
  • 6 nose attributes
  • 11 eyebrow attributes
  • 5 types of tone/shade detections: skin tone, eyebrow color, eye color, hair color, and lip color

▶ Try on AI Face Analysis and see how it works for beauty products.

Every face is different, but AI Face Analysis can detect even the smallest differences between customers, allowing for the best personalization in recommending beauty products considering one's facial attributes. Furthermore, it supports color detection for more precise recommendations. Users can have their skin tone/shade, eyebrow color, eye color, hair color, and lip color analyzed to see what products would look best on them.

At the end of the day, AI Face Analysis solution is the ultimate personal beauty products shopping assistant. It will help customers find the best products for them and prevent unnecessary purchases. They’ll have more faith in what they’re buying, even if they’ve never tried it in person, because they know it was hand-selected for them by AI technology.

Face Beauty Analysis FAQs

1. What is face analysis?

Powered by AI engine, facial analysis is an ultra-personalization engine that accurately detects 70+ types of facial traits & all possible color palettes.

Face Attributes:

Face shape, Eye shape, Eyebrow shape, Lip shape, Nose shape, and Cheekbone shape.

Personal Color Palettes:

Skin tone, Eye color, Eyebrow color, Lip color, and Hair color.

▶ Try AI Face Beauty Analysis For Free Here.

2. How do you analyze facial features?

Current AI Technology makes it easy. The user would first need to grant the AI technology permission to use the solution. The technology then analyzes the user’s facial attributes, as well as the color/shade of their hair, eyes, and lips.

The AI Facial Analysis can then analyze up to six facial traits and 70+ attributes for personalized recommendations, including:

  • 6 facial attributes
  • 7 lip attributes
  • 14 eye attributes
  • 4 cheekbone attributes
  • 6 nose attributes
  • 11 eyebrow attributes
  • 5 types of tone/shade detections: skin tone, eyebrow color, eye color, hair color, and lip color

    ▶ Try AI Face Beauty Analysis For Free Here.
  • Personalize Your Shopping Experience for Beauty Products With AI Face Analysis

    Bring your brand to the next level with AI Face Beauty Analysis and the virtual try-on experience. Get started with expert advice from Perfect Corp. and be part of the beauty tech trend. 

    Get expert advice from Perfect Corp. and be part of the beauty tech trend. Contact us for details on beauty tech solutions trusted by 400+ brands globally.

    Read our “Beauty Tech: The Complete Guide 2022” to unlock powerful ROI secrets.

    Works Cited

    Collins, Kimberly. “ROI on advanced personalization: $20 return on $1 investment, new report finds.” ClickZ, 16 Sept. 2019, https://www.clickz.com/roi-advanced-personalization/255692/.

    “The 2017 State of Personalization Report.” Segment, http://grow.segment.com/Segment-2017-Personalization-Report.pdf. Accessed 28 April 2021.

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