Enrich and action different
commerce data types
We collect and process both zero-party data (information proactively shared) and first-party data (such as purchase history and website interactions) to create profiles that identify and predict affinities. These rich profiles are created for every shopper and consider both past and present interactions with your site, to illuminate unique targeting opportunities.
Product catalog data
Synchronize your product data in real time and analyze how shoppers engage with your catalog, revealing patterns and connections between items. Our engine looks at past performance of items and ranks them in terms of expected revenue. This data is then combined with behavioral data to predict how much revenue an item is likely to generate.
Visual AI uses advanced algorithms to identify, organize, and categorize objects, scenes, events, emotions, styles, colors, patterns, and more within visual content. It then turns these into machine-readable datasets with which you can enhance personalization and streamline curation.
Our CXP is fueled by customer, product, and content data. By combining these three critical commerce data components, you have a rich and holistic pool of intelligence at your fingertips to action through end-to-end commerce experience management, driving online revenue.
Connect external data sources to
erich commerce insights
Integrations with your
Easily connect our CXP to your existing tech stack, including your CDP, ESP, POS and more, to further enrich your pool of customer data for greater targeting.
Open APIs and extensive
Alternatively, synchronize your customer data with Nosto through our API, or conveniently upload customer lists directly from a spreadsheet if preferable.
Use rich intent data across the
entire commerce experience
Bridge the gap between human communication and machine understanding with our Semantic AI and capture the true intent behind every search query. Use this intelligence to then inform your other commerce strategies and actionabiltiy for better product disovery.
Our data engine fuels every module of our CXP, including Personalized Search, Product Recommendations, Category Merchandising, UGC, Content Personalization, and more, giving you the power to deliver end-to-end personalized experiences that increase revenue.
Fuse online and offline data to create seamless customer journeys
Your brick-and-mortar and ecommerce operations shouldn’t be operating in silos. By unifying online and offline data, you can create richer omnichannel shopper profiles. This leads to a better understanding of behaviors, preferences, and buying habits of individual shoppers or groups of shoppers to identify targeting opportunities.
and offline experiences
Use in-store transactional data to enhance online experiences by personalizing on-site and email campaigns with products and content related to in-store purchases. Conversely, use online behavioral data to suggest relevant items or use digital in-store screens to present content based on shopper affinities.
Aggregate your data sources and build
high-performing models for precise targeting
Inspire new visitors while transforming first-time customers into loyal advocates and repeat buyers
Spot the shoppers most likely to make a purchase and make hay while the sun shines
Understand shoppers’ preferences in terms of products, categories, brands, and the strength of those affinities for highly personalized campaigns
Days left of inventory
Find out how long your product inventory will last based on current sales velocity and optimize your inventory strategy
Uncover how shoppers interact with your product catalog to reveal patterns and connections between products for high-performing recommendations
Identify visually similar products and recommend the best alternative when the viewed product is out of stock
Turn your UGC into machine-readable datasets that are automatically categorized with tags describing attributes within the image, such as objects, people, style, and color