Got a Niche Product to Sell? Augmented Reality Might Help.

Reddy and his colleagues decided to focus on studying customer behavior when they were using AR to evaluate a product. They obtained a data set from an international cosmetics retailer that incorporates AR into its mobile app to help customers visualize how they would look if they used different cosmetic products, such as eyeshadows and lipsticks.

The dataset contained sales records for 2,300 products, and browsing and purchase histories for 160,400 customers in a key market in Asia Pacific. The data covered a 19-month period from December 2017 to June 2019. Consumers could use the AR feature for lipstick and lip gloss during that entire time; the AR feature for eyeshadow and eyeliner was introduced in March 2018.

The dataset covered more than 800,000 shopping sessions, around 20 percent of which involved AR.

AR increases purchases from less-established brands

The researchers found that customers who used AR as part of their mobile-app shopping experience spent 20 percent more time browsing (and browsed nearly 30 percent more products). In addition, these customers’ purchase rate was nearly 20 percent higher than that of those who did not use AR.

The overall effect is largest for customers who are new to the app or the product category—showing that AR has the opportunity to promote online shopping adoption and category expansion. But it was also successful with the company’s regular, loyal shoppers.

Because the researchers had access to many of these shopper’s browsing and shopping histories, they could also compare how their purchases differed when they used AR versus when they did not. And they found a few surprises.

When customers used the AR feature, they bought products from less-popular brands and also purchased more expensive and unusual products. That’s likely because the AR system allowed them to take a chance on what would otherwise seem like riskier bets.

Indeed, research has shown that when consumers have access to more information about the product, as they do with AR interfaces, they rely less on branding as an indicator of quality.

These interfaces also reduce uncertainty by letting customers visualize how products would look on their faces, perhaps leading them to feel more comfortable investing in more-expensive or less-familiar products.

“This shows augmented reality is leveling the playing field for brands and products,” Reddy says. “Customers have never purchased blue lip shade, and now suddenly they buy it. And if this reduces their uncertainty, they are also willing to spend more.”

Deciding if AR is right for a retailer

One big implication for marketers, then, is that AR is most effective when customers feel a lot of risk or uncertainty around the purchase process. That means AR might work best for less-established brands and for customers who are new to the channel. It could also help replace expensive “try before you buy” programs or help customers feel comfortable with customized products that often cannot be returned.

Of course, AR isn’t right for every retail category. It doesn’t allow consumers to feel texture or smell scents, for example (though that sort of technology is in development). And AR is not a cheap investment. Customized AR applications cost anywhere from $10,000 to $300,000.

Yet AR retail experiences aren’t just limited to mobile apps. Reddy and his collaborators are currently examining a dataset from an AR interface placed within this cosmetic retailer’s physical stores. The interface allowed shoppers to virtually try on lipsticks (without physically applying anything to their lips, the normal process of testing products at stores). Initial results show that customers who used the AR interface spent more time sampling more kinds of lipsticks, suggesting that by making the sampling process more convenient, it encourages shoppers to explore more than they usually would.

Reddy ultimately hopes to explore how AR usage affects customers’ purchases over time. Was that blue lipstick a one-off purchase? Or does this new behavior continue?

“We want to understand whether AR helps customers continue to explore and experiment,” Reddy says. “That will help us understand the value of AR over the long run.”