Every customer wants to be treated like a VIP. Mass promotions sent to your entire email list no longer cut it.
Today’s shoppers want one-to-one marketing that directly addresses their unique wants and needs. According to McKinsey, 71% of shoppers expect personalization, and 76% get frustrated when it doesn’t happen. But how do you deliver personalization at scale?
Shopping Assistant helps ecommerce brands deliver a VIP shopping experience with product education and recommendations. It provides personalized product suggestions based on real-time shopper data, to match individual needs.
Shopping Assistant is also context-aware, meaning it takes behavioral signals into account, including:
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Shopping Assistant uses the specific behavioral signals to:
For example, let’s look at how this works for Arc’teryx. A shopper is browsing women’s jackets and asks in the chat, “I’m usually a size small or medium, which size should I go with?”
With no mention of the product name, Shopping Assistant still knows the customer is referring to the Beta Lightweight Jacket based on their browsing history.
Based on this context, the Shopping Assistant advises the customer on the best size to choose and provides a direct link to add it to their cart from the chat.