Smart tips from Pinterest for quick-start mobile personalization

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Heads up: Welcome to the third blog in this mobile mini series. (See here for blog 1 and here for blog 2.) This time, I’m taking center stage, examining how brands can get personal in no time at all.

Our case study: Pinterest.

 

 

 

Seen enough? Visit Qubit Aura here.

What’s in the film... and why?

Today’s online world is full of distractions and our brains have become hungry for quick dopamine hits, and stuck in information-seeking loops. This makes it difficult for retailers to sell things on mobile, when shoppers are flitting between text messages, Instagram, email and whatever else is vying for their attention.

A key solution to this problem is mobile personalization—taking your inventory and surfacing the right product to the right user exactly when they need it. This process can handled by algorithms when you have lots of information on the shopper, but what do you do when someone is shopping with you for the first time and there is no data? The answer: Quick start mobile personalization.

Pinterest was a champion in this releasing this feature, but now, others have followed suit, including Netflix, and recently, us in the form of Qubit Aura.


How it works

When someone comes to your mobile site for the first time, Qubit Aura serves up a selection of sample products for users to choose from. In the case of Pinterest, these products are in broad themes such as photography, man cave, technology or photography. For a brand using Qubit Aura, it’s a selection of popular products from each of the major shopping categories (e.g. Moisturizers, Skincare, Body Care, Butters).

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The user picks what they’re interested in and the system is primed with enough data make useful suggestions for mobile personalization. In Qubit Aura’s case, the more a person explores the product catalog, the more data the system has to work with, constantly re-prioritizing the most relevant categories and products to display.

Data from our platform shows that this approach works! Shoppers using Aura see on average 2.25x more products than those who don’t.

To see how Qubit Aura fits into a broader personalization strategy, take a look at this case study featuring L’Occitane.

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