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How GoodEggs used Miso.ai's granular user insights to build high ROI retargeting and email campaigns with personalized real-time product recommendations.
A guide to the clickstream data you need for building personalization with Miso.ai
End-to-end personalization means real-time user insights everywhere
Catalog Enrichment involves adding additional information to product listings to make them more appealing and easily searchable. Miso has already developed the ability to taxonomy tag a catalog, filling in gaps in an existing taxonomy. Semantic tagging involves adding keywords and tags to product listings to improve their visibility in search engines.
For sponsored listings, Miso further re-ranks the products based on the bid price (the cost per click fee that a bidder pays to the e-commerce site for a clickthrough).
Miso performs semantic analysis and multi-objective optimization for maximizing your conversion rate. This allows Miso to suggest private-label replacements that make sense contextually and not look out of place.
Miso.ai is a real-time 1:1 personalization engine. Simply put: a real-time personalization engine learns from your users’ clickstream data as it’s being generated — click throughs, searches, add to carts, likes, dislikes, scroll depth, pretty much anything that’s happening within a browsing session — and uses that data to create uniquely personalized search rankings and recommendations on a 1:1 basis.
An API-first approach necessitates that APIs are “first-class citizens” in that they are the primary way that clients interact with our real-time personalization models.
Miso maintains an easy to use client-side SDK for organizations who currently do not have access to real-time clickstream data. Using the SDK, organizations can upload events to Miso directly from the customer’s browser as they interact with the site.
Miso participates in the Meltano ecosystem via target-miso, a singer-based data loader that can push data to Miso’s personalization platform.
Segment's ability to enable real-time data flows is particularly valuable to Miso’s 1:1 personalization algorithms. As they are behaviorally driven, on a click-by-click basis.
Building real-time personalization into a Shopify website
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