
I have seen a lot of organizations lately focused on the importance of personalization in retail. And for good reason. 71% of global consumers expect retailers to deliver personalized communications. That contrasts with 73% of marketers who state that they excel at personalization – but only 34% of consumers agree. Clearly, brands are falling short of consumer expectations despite their bravado.
“What does personalization mean for physical retail where 85% of transactions occur?” The answers to date have been uninspiring. “Sales associates provide personalization,” is the most common.
With all the focus on personalization, shouldn’t we be looking harder at making the experience better in brick-and-mortar where 85% of transactions occur?

One area that is rapidly expanding is the ability to use computer vision to determine demographics of shoppers. This does not have the same privacy concerns as identity using facial recognition, because all that is stored typically is age, demographic, sentiment, dwell and gaze. If you think about it, it’s much less than what’s captured in your “anonymous” visit to any website. And because the data is identity driven and the video isn’t captured in the cloud, it’s GDPR and CCPA compliant.
It’s incredibly powerful. Not only will you be able to message by demographic, which we have seen to have a large impact on driving shopper behavior, but also you can A-B and test creative based on success criteria like sentiment (i.e. did they smile when they saw it), dwell time and gaze time. This is a game changer for data-driven organizations who look to learn how to personalize messages in-store based on real-world success criteria. Of course, sales and product interaction would be that next step…
Our platform can provide the right product message at the right time to drive conversion. The moment someone touches a product, Our system wakes up and tells the shopper about the product and provides the opportunity to advertise complementary products just like search ads.

This the ultimate personalization of the shopper experience, because shopping is fundamentally about connecting people and products. By providing the same product information we demand online (videos, ratings and reviews, complimentary products, etc.) Our platform sees 87% sales lift on average. And our platform uses computer vision so you don’t have to wait until all the products are tagged with RFID.

In grocery there is an intense focus on couponing and loyalty apps to create a unified view of customer purchasing and drive mobile app adoption. Mobile app adoption is indeed up, but you don’t see them as fully integrated into the shopper experience. This is because of low penetration (although it’s getting better) and because mobile phones are clunky. They aren’t shelf aware and integrated into physical shopper journeys. Apps should use category awareness through beacons or NFC to know where I am in the store and personalize my shopping and loyalty opportunities. They should help shoppers with wayfinding and product discovery.

Intelligent Displays which are beginning to see adoption in retail can provide QR codes to link to pricing and product information. And mobile can be integrated into payment and checkout options that are more convenient. Best Buy recently announced a new small format store that embodies some of these core utilities, shifting the model to more of a showrooming experience like an Apple store. This allows smaller store formats to create better product discovery experiences.
In-store digital combined with AI and IoT intelligence and mobile integration can create a personalized in-store shopper experience. Digital screens that are product aware should show coupons for products as you pick them up, driving mobile app downloads and adoption.
Tools such as virtual try-on should promote the apps to use those tools when shoppers leave the store. Virtual try on apps have been widely adopted in beauty, yet they are rarely used in store, despite the fact that they drive 40% sales, and 25% conversion to email or mobile signup.

A front-facing camera scans your face and recommends products based on skin conditions like wrinkles or sunspots. The digital screen helps shoppers find the products on the shelf and gets them to download the app to continue using the app online and hook into rewards.

We have the tools and platforms to make in-store personalization a reality – and now with AI and IoT we have the data to manage impact across the entire marketing funnel and segment by audience. Which content appeals to which demographic and drives dwell time? Which content gets customers to pick up a product? When they pickup a product, what content drives conversion or gets them to add a product to the basket? “Data is the new oil,” they say. Well, stores have been latent oil fields of data that are just being excavated. It will be amazing what we will learn by applying these techniques and gathering data in-store.
And thus in-store personalization may be the biggest in-store experience revolution in front of us. Time to ask the question “What does in-store personalization mean to you?”
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