Connect Shoppers to What They Want and Need
No matter what the month is, e-commerce personalization is not just a “flavor of the month,” it’s evergreen. Connecting shoppers to what they actually want and need this month, and every month after, is always worth the extra effort. This is especially true when you consider that research shows shoppers have an increasingly strong point of view on personalization.
In fact, according to McKinsey & Company, 71% of consumers expect personalization from retailers and 76% of consumers get frustrated when the shopping experience doesn’t match their expectations.
With the right intent-driven personalization capabilities by your side, you can supercharge your e-commerce stack full of customer intent and better product discovery – helping each consumer to find what they want with more ease and less frustration.
Connect Shoppers to What They Want and Need This “Wear a Dress Day”
“Wear a Dress Day” is celebrated every year by giving women the opportunity to sport their favorite dress for the day. This includes a wide variety of dresses with many different designs, patterns, and more – a truly rich taxonomy of attributes.
Because many retailers are falling behind on personalization, with only 52% of retailers in North America choosing to personalize more than half of the shopper journey, it may be hard for shoppers to actually find those dresses they’re looking for.
Help your shoppers dress to impress this “Wear a Dress Day” by building a rich customer-centered product taxonomy that describes products in the language that shoppers actually use. Different shoppers are going to search for items in their own unique way, making it essential to capture both common and long-tail terminology for better search diversity.
For instance, under the category of “loose dress” lies a number of synonyms that also match, including “sun dress,” “nap dress,” and more.
Connect Shoppers to What They Want and Need Every Day
Today’s e-commerce stack is starved of customer intent, with bad guesses about shoppers leading to low conversion rates, high return rates, and a high number of unsold inventory. Customers want a shopping experience that shows that you know and understand who they are as a person in the same way a skilled staffer in a brick-and-mortar store would.
This requires an understanding of not just purchasing patterns and basic demographics — but an understanding of their underlying psychology and why they purchase what they purchase, which is an entirely different challenge. This is where AI comes in. Lily AI can help you learn more about each customer based on how they engage with your website and the emotional context that drives their purchase.
Shoppers don’t just want recommendations based on colors or sizes. Product recommendations must reflect customers’ genuine preferences and affinities. At the end of the day, they want to feel like you “get them.”
Connect Shoppers to Next-Level Personalization
Lily AI can elevate your existing site from its current level to “next-level” in just a few weeks through our proprietary machine-learning algorithms. It’s a two-stage process: first our technology analyzes your products and identifies the wealth of crucial data you’re currently leaving untapped, then we leverage that data to create individual psychographic consumer profiles you can use to personalize their online shopping experience on a granular level.
Most sites’ product taxonomy is limited and currently uses only a few searchable tags to identify and quantify products – not to mention applying tags takes time, costs money, and needs to happen with every seasonal change in your inventory. Our software identifies all of the details that matter — up to dozens per garment — creating a dataset that’s richer by several orders of magnitude.
Armed with this enhanced level of data, our algorithms can drill down and find previously un-quantifiable relationships between products. Those relationships, in turn, help us identify the underlying psychological drivers of a given customer’s purchasing and browsing activity on your site. Surfacing the exact product a customer is looking for, exactly when they want it (whether they know they want it), is the ultimate goal of personalization.
We have not only automated the deepest product attribute extraction, but also the styling intelligence technology that understands how each attribute relates to all others in this universal language. By matching deep tagging of products (with 15,000+ attributes) with deep profiling of consumer motivations, Lily AI can help present every unique consumer with the item they’re truly looking for in real time.