Discovery Channel: How Paul&Shark’s AI-Fueled Search Boosts SEO & Conversions
The most challenging part has been tied to the company’s 22 store views, said Miriello. “This required some planning, but once done, the rules replicate across the store view in a smooth fashion.”
The technology has not only freed up time for the Paul&Shark e-commerce team to develop specific requirements that both elevate marketing campaigns and create stronger customer experiences, but its developers now also have a baseline for website search functionality. This in turn enables the company to personalize recommendations and adjust as needed, rather than starting from scratch.
During the two-month implementation, overall revenue increased 8.5% and conversion rates grew 9.6%. Website search use also increased 38.9%, with revenue directly resulting from search growing more than 15%.
Furthermore, using the GPT-3 prediction model, Algolia’s platform has resulted in query quality increasing by 90%, while simultaneously providing a personalized website experience. It also supports all languages, detects diacritics and slang, and offers dynamic synonyms guide end users, and Paul&Shark can now review such insights as product margins, content popularity, vendor score, and most searched-for products.
[See also: Cuisinart Replatforms To Meet Growing DTC Needs]
“We saw a huge boost in SEO resulting from the improved user experience and performance on our website, and we plan to implement auto-completion and AI re-ranking to automate time-consuming manual processes,” added Miriello. “These actions will further reduce the workload for our e-commerce team, allowing them more time to focus attention on new opportunities to build value and grow customer loyalty.”
What’s more, having such insight as which pages are performing well thanks to strong SEO, how much time consumers are exploring products, and other browsing habits will enable Paul&Shark to make strategic changes across the site and provide personalized recommendations to ideally convert browsers into buyers, and then returning buyers.
“Today’s consumers want auto-filled search recommendations that predict their intent, rather than making them type out the entire product name or having to sift through many pages of content to find what they’re looking for,” noted Miriello.
“The CX is all about ease and convenience, and the more convenient and easier you make their experience, the more likely they will make a purchase and return to your shop for another purchase.”