Beauty is always personal! Just as no two women or men are alike, the beauty industry can’t really make profits without paying attention to customization and individual expression. If you look closely at the way big beauty brands strategize their offerings, there is a constant effort for innovation and bringing new and relatable products for consumers.
Now when your vendors are flooding the market with customized products, it is wise for your online cosmetics and beauty store to offer customized service offerings to your visitors.
In this blog, we will take you through how a Recommendation system can help your online beauty and cosmetics store with personalized product recommendations.
Cosmetics and Beauty industry has a distinctive feature that differentiates it from other retail segments. And that is “highly individual purchase decisions”. These decisions are influenced by a wide variety of user parameters.
And to start recommendation, an AI-based recommendation engine considers these parameters.
Without further ado, let’s have a look at them:
Most cosmetics brands design products specifically for women or men. It’s the female customers that are always on the lookout for shopping beauty products. However, with time, men also have awakened to the need of prioritizing self care at a pretty rapid rate. On the other hand, there are many skincare and beauty products that are tagged “unisex” as these can be used by both men and women.
When integrated with a recommender system, your online Cosmetics and Beauty store will identify the gender parameter, shortlist the corresponding products accordingly and recommend it to the visitor.
Not to forget the fact that the recommender engine will also keep a track on the visitor’s browsing history to determine what products are sought after or viewed the most.
It is a common pattern that most of the time, visitors search for beauty products that are suitable for their skin type. Ofcourse, when we talk about customizing cosmetics, skin type is one of the key parameters that brands keep in mind while formulating the product.
Hence, a product recommender engine looks at the skin type that a visitor has chosen before recommending products.
In the case where a visitor is looking for skin care products for a particular skin type, it also recommends makeup or cosmetic products suitable for that skin type. This Increases the probability that your visitor will end up buying both skin-care and cosmetic products. Definitely, a win-win situation for your online beauty and cosmetics store.
- Product hypoallergenic properties
This is one area that a good recommendation engine will not miss to target at. With an updated customer profile on your online beauty store, the recommendation engine will also look at the new data like if the visitor has any allergies related to a specific ingredient or chemical used in making cosmetics.
It will then exclude all the products that have ingredients and present a refined list of beauty products appropriate for the user.
Ofcourse, you can use the recommendation system for all hair products too.
In that case the recommender system will consider the following parameters:
Just like skincare and makeup products, customers look for hair products that must fit their hair type. When they find that your online beauty and haircare store has products specific to their needs, it adds to the customer loyalty factor as you become the “Go-To” online store for all their beauty needs.
As customers happen to prefer, rather stick to specific brands, a good online beauty store gives priority to individual brand preferences. Ultimately, this turns out to be one of the key factors that a recommender system considers while filtering the products for your visitors.
Check out our blog on Why you should consider a Recommendation Engine for your Online Business here!
Have you noticed the “ Frequently purchased” option during your personal online shopping experience?
Yes, that is exactly another significant parameter that can result in more flow to your revenue. It is a fact that often, cosmetic products are consumables. Hence, users tend to repurchase these frequently.
So, looking at this behavior, a recommendation system segregates beauty products accordingly and makes the recommendations.
Now that you know how a recommendation system can increase the probability of your sales, you can drive in more revenue flow to your online beauty and cosmetics store.
Alie, an AI-integrated recommendation system can personalize user experience for your online cosmetics shopping store.
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