2024-02-07
For most of us, the benchmark search experience on a day-to-day basis is still Google. Elsewhere, search experiences have been slowly improving but are still not good enough.
Especially in the retail industry, search abandonment is a real issue, having a direct impact on brand loyalty and billions of dollars of lost revenue as a result.
One nightmare scenario I increasingly hear from B2B and B2C retailers is that customers abandon on-site search experiences and head to Google, where they get better results, then complete their purchase with another retailer.
This opportunity has not been lost on Google. At the height of the pandemic, we were lucky to get a preview of Google's new Vertex AI Search for Retail product, now on general availability. Google is finally making some of its magic available to all retailers — and to me this was a step-change in the market and a clear signal that retail search had just changed forever. For now, the search for the next generation of retail search is over — it’s already here.
Product discovery at the next level
Vertex AI Search for Retail is part of the broader Product Discovery tools in Google Cloud and would typically be deployed alongside Autocomplete and Recommendations AI to create a fully engaged product discovery experience. This can go further to include fully integrated image search, voice search and conversational experiences.
But back to the basic point - what is different in Google’s new search product and why should all top retailers take notice?
Vertex AI Search for Retail is Search-as-a-Service and runs on the same global platform as Google itself. This means that search performance, scale and Black Friday are covered as are a myriad of other technical activities that anyone running a typical search engine is well versed in. So, with a platform that just works and scales, the focus is on how it improves the customer experience, and ultimately increases revenue for the retailer.
Better customer experience, higher revenue
There are two key areas of differentiation to understand. The first is Vertex AI Search for Retail’s ability to automatically understand consumer intent and the second is how it maps that to product inventory to drive revenue.
From a customer perspective you already understand the first one, it's exactly what you expect when you use Google already. In Vertex AI Search for Retail you also get great results even if you don’t use the same words as those in the product catalogue. It’s the feeling that Google just understands what you want.
The simple fact is that from all of the interactions we have with Google every day, it does. And Vertex AI Search for Retail can apply that understanding to the retailer’s product catalogue.
"Date night dress" is a great example. These exact words may not be in the retailer’s product description, but Google still knows that most people expect this to be a dress which is more fitted, possibly black or red — definitely not one with pictures of dates on it.
Once Vertex AI Search for Retail understands what the customer is looking for, the second differentiator is its ability to drive outcomes, ultimately revenue per customer, by showing products that the customer is interested in, which are also proven to drive these metrics.
As a retailer, you can focus on increasing clicks, conversions or order value, and it will automatically determine how best to rank the results to achieve this. At its highest level of capability, this product can also personalize results for every user — a clear differentiator for this kind of experience. Using this technology, retailers are seeing up to a 20% increase in revenue per visitor against their existing search platforms.
With these two key areas of functionality in play, merchandising becomes more about directing Vertex AI Search for Retail towards what you want to sell and less about trying to band-aid your search engine with hard-coded rules.
In our own tests with retailers, we have observed this product deliver these "wow" moments very quickly, immediately seeing that some current pain points we focused on in their existing search now just work: “How are you doing that?”
Vertex AI Search for Retail works by seamlessly combining Google’s cloud platform and query understanding with retailer data and advanced machine learning models. We believe that this highly data-driven approach requires an equally data-driven approach to prove its value.
Once upon a time, when a new search technology came along it was easy to be drawn in by the demos and the sizzle. As experts in both search and experimentation methods and technologies, we have created a solution accelerator approach that will allow retailers to put Vertex AI Search for Retail into an A/B against their existing platform and prove its value. We let the data talk.
Vertex AI Search for Retail is a key component of Google’s broader Product Discovery suite, which means you will be well-placed to further enhance the shopping experience to reduce friction. Product recommendations, voice search and image search are all within easy reach.
We are able to rapidly demonstrate the power of retail search and its potential impact on search relevancy and your broader conversion metrics. In just a few weeks, our self-sufficient team can ingest your catalogue and events data and evaluate Vertex AI Search for Retail against your existing search technology. Although it comes at a cost, it is a fraction of the benefit our customers are seeing from the solution.
