The Real Cost of a Bad Shade Match

When Shade Matching Fails

This post is sponsored by Arbelle.

Foundation shade matching has long been one of the most difficult problems in beauty ecommerce. When a customer buys a complexion product online, they are not only choosing a product type, finish, and formula. They are also trying to judge whether a shade shown on a screen will match their real skin in real life.

When that match is wrong, the impact goes beyond a single disappointing purchase. A bad shade match can lead to returns, product waste, negative brand sentiment, and lower confidence in buying complexion products online again. For brands, the issue is both commercial and reputational. For the wider beauty industry, it also raises questions about unnecessary waste and the systems that create it.

The Waste Behind Beauty Returns

When you return a beauty product, it does not always matter if you have used it or not. Overwhelmingly, returned beauty products are most likely going to end up in a landfill. Due to the nature of cosmetics, it is unhygienic to resell an already used product, and it can be more expensive to have someone check that a product is unused than to simply dispose of it.

A lot of brands offer free returns to encourage risk-free purchasing for consumers, but there are a lot of hidden costs involved in this, both for the brand and the environment. Instead of encouraging consumers to mindlessly spend, the industry should make it easier for people to find the right products from the start.

This is especially relevant in categories where purchase confidence is low. If a consumer feels unsure about a shade, they may order multiple options with the intention of returning the ones that do not work. From the customer’s perspective, this can feel like the only practical solution. From the brand’s perspective, it creates avoidable return costs. From an environmental perspective, it increases the likelihood that perfectly good products end up as trash.

Why Foundation Is So Hard to Buy Online

Foundation is one of the beauty categories where this problem becomes especially visible. Unlike many other products, foundation must perform across several dimensions at once. The shade needs to match the customer’s skin tone and undertone, the finish needs to suit their preference, and the formula needs to work with their skin type.

Shade mismatch is one of the clearest reasons why foundation returns happen. Online, customers are often asked to choose a shade based on a few product photos, a shade description, maybe a quiz, or sometimes just guesswork. Even when brands provide swatches, model photography, and shade names, the customer is still left trying to translate a digital representation into a real-world match.

As Arbelle explains:

“Foundation has high return rates because most online shopping journeys still ask customers to do the impossible: choose a shade from a flat product image and hope it works on their real skin. That guesswork is exactly what leads to mismatches, frustration, and products being sent back.” -Marcus Tamminen, Managing Director at Arbelle

This gap between expectation and reality is a major issue. The product may be good, the formula may be strong, and the shade range may technically be broad, but if the customer cannot confidently identify the right match, the purchase journey still fails.

The Limits of Digital Shade Representation

Often shades are not accurately represented online, especially when it comes to darker shades, making finding the right shade even more difficult. Product photography, lighting, screen settings, editing, undertone descriptions, and inconsistent naming systems can all influence how a shade appears online.

This creates a particular challenge for complexion products. A foundation shade can look different in the bottle, on a product swatch, on a model, and on the customer’s own skin. Even small differences in undertone can make a product feel wrong once applied. A shade that looks close online may appear too orange, too pink, too grey, too light, or too deep in real life.

For customers with deeper skin tones, the problem can be even more pronounced. Many brands have historically invested less in accurately showing darker shades across different undertones, lighting conditions, and skin depths. When darker shades are poorly represented, customers are given less useful information and are more likely to rely on trial and error.

This does not only affect conversion. It affects trust. If a customer repeatedly buys products that do not match the way they expected, they may become less willing to buy complexion products from that brand online again.

Inclusivity Needs Usability

Providing shades for everyone is increasingly becoming an expectation, which has been given a lot of attention especially when it comes to foundation shades. Though it is worth mentioning that skin tone inclusivity expands past complexion products and applies to all makeup categories, be it blush, eyeshadow, or lip liners.

Brands like Fenty Beauty pioneered this movement with their range of 40 foundation shades, and brands like Haus Labs and Rare Beauty have also followed with expansive complexion ranges. Black-owned brand Danessa Myricks Beauty is well known for its inclusive product lines and Made by Mitchell is creating inclusive shade ranges for various products that are both makeup artist-friendly and budget-friendly. These brands are all performing well on the Brand Trend Index (BTI).

However, shade inclusivity is not only about offering a high number of shades. A large shade range only works if customers can understand it. If a brand offers 40, 50, or 60 shades but the online shopping experience does not help consumers navigate them clearly, the customer can still end up overwhelmed, confused, or disappointed.

This is where inclusivity and usability meet. A truly inclusive complexion product does not only need to exist in a broad range of tones. It also needs to be presented in a way that helps people find the right option for their skin.

From Guesswork to Guided Matching

To make it easier for consumers to find the right shade match online, many brands and retailers have turned to shade matching tools. These tools are designed to reduce uncertainty by helping customers understand which shade is most likely to work for them before they purchase.

One such solution is Arbelle’s AI-powered Shade Finder, which was fully adapted and customized to be implemented for Cosnova brands Essence and Catrice (both high performers on BTI). The tool combines real-time skin tone analysis with virtual try-on, allowing customers to analyse their skin tone in seconds, receive a recommended match, and see how the shade could look on them instantly.

This changes the foundation shopping journey from a guessing process into a more guided experience. Rather than asking the customer to compare themselves to static product photos, Shade Finder gives them a more direct way to understand which shade is likely to suit their skin.

Since implementing Shade Finder, Cosnova’s customer shade match satisfaction is over 90%, and the brands saw an over 20% increase in add-to-cart rates.

That combination matters. A stronger shade matching experience can help customers feel more confident before purchasing, while also helping brands reduce the friction that often prevents complexion products from converting online. Instead of optimizing around returns after the fact, better shade matching helps prevent avoidable returns by increasing the chance that the first purchase is the right one.

Getting the First Purchase Right

The foundation return problem is not only about logistics. It is about the gap between what customers expect and what they receive. When that gap is too large, brands absorb the cost through returns, waste, and lost confidence.

Better shade matching is not a complete solution to every challenge in complexion ecommerce, but it addresses one of the category’s most persistent pain points. It helps customers feel more confident, makes broad shade ranges easier to navigate, and reduces the need for trial-and-error purchasing.

For brands, this is not only a sustainability issue or a conversion issue. It is a trust issue. If a customer can buy a foundation online and receive a shade that actually works for them, that experience becomes part of how they evaluate the brand.

In a category where shade mismatch can quickly lead to frustration, the brands that make the buying process clearer are better positioned to build long-term loyalty. Helping customers get it right the first time is not just better for returns. It is better for the entire brand experience.

Sponsor Note

This blog post is sponsored by Arbelle, an AI-driven personalization layer for beauty ecommerce. Arbelle helps cosmetic brands create more confidence-driven shopping experiences through tools such as Shade Finder, designed to improve shade selection, support conversion, and reduce avoidable returns at scale.