Rely on a rich data engine to constantly unify all your audience, content, and product data in real-time, digesting this into clear insight ready for you to action and personalize the entire onsite experience for shoppers.
Tailor both your search results and category pages towards audience segments or individuals, based on lifecycle stage, size affinity, traffic source, and more, strategically promoting and demoting products.
Boost conversions with effective product recommendations across your store, fed by real-time behavioral and transactional data, as well as Predictive AI that intelligently suggests what a shopper is most likely to purchase, increasing conversion likelihood.
Urge shoppers to take specific actions (such as email sign-ups and conversions) with timely messages in behaviorally triggered pop-ups that drive conversions, retention, and email subscriptions, and reduce cart abandonment.
Export your shopper segments into offsite channels so you can personalize the likes of marketing emails, paid ads, and more, creating tailored omnichannel experiences that work in harmony with your site. Plus, embed personalized product recommendations within your marketing emails to entice shoppers back to the store.
Supplement your personalized product experiences with highly engaging content that’s personalized to any segment in real-time. Think hero banners, videos, copy, menus, logos, content tiles, layouts—you name it.
“If our brand is investing in making all of our products available up to size 28, we need tools such as Nosto’s Category Merchandising to make sure that customers with an affinity to curve sizes will see those items as soon as possible.”
Read case study
“We embrace Nosto’s creative potential. It empowers our team to explore new avenues, gather valuable metrics, and test ideas that tailor the customer experience on our site.”
Read case study
“Leveraging segmentation is the perfect opportunity for personalization. If a shopper is searching for linen and has a clear affinity for a certain style, we can make sure to show the most relevant products”
Read case study