Great experiences start with the right recommendation. Whether it's a product, article, or offer, intelligent recommendations help customers quickly discover what matters to them — driving deeper engagement and measurable business impact.
Behind every effective recommendation is a balance of AI-powered personalization, real-time signals, and contextual understanding. Blueshift helps teams deliver personalized suggestions without complex setup or long development cycles.
By unifying behavioral data, catalog insights, and predictive models, Blueshift surfaces relevant content across key channels — email, push, SMS, in-app, and web — adapting as user behavior evolves.
Real results from leading brands
- 🛏️ Tuft & Needle increased email revenue by 181%.
- 🚗 CarParts.com boosted engagement by 400%.
These capabilities come together in what we call recommendation recipes — the foundation of Blueshift's personalization strategy.
Why Blueshift recipes drive results
- Rapid deployment: Access 100+ AI-powered recipes mapped to industry goals and lifecycle stages.
- Enterprise flexibility: Combine Blueshift's models with your own data science by importing external feeds .
Unlock the power of 100+ AI-powered recipes
- ⚡ Proven strategies across industries and lifecycle stages.
- ✨ Works across sessions, channels, and lifecycle stages.
- 📘 Read the blog.
- 📎 Download the Smart Guide.
Retail
Recipes for e-commerce and retail platforms focused on product discovery, cart recovery, and personalized shopping.
Media
Recipes for streaming platforms, publishing, and content discovery focused on engagement and personalized feeds.
Marketplaces
Recipes for multi-seller platforms focused on seller-based recommendations and time-sensitive listings.
Automotive
Recipes for auto parts and vehicle-specific recommendations based on year, make, and model.
Online learning
Recipes for educational platforms focused on course, teacher, and content recommendations.
Location-based
Recipes for location-specific recommendations using geographic data like city, state, zipcode, and coordinates.
General
Cross-industry recipes that work across verticals based on universal personalization patterns.
Choosing recipes by user lifecycle
Recipes can be mapped to different stages in the user lifecycle. Consider selecting a recipe based on your intended audience.
| User lifecycle stage | Sample recipes |
|---|---|
| New users |
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| Active users |
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| Intermittently active users |
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| Churned users |
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| All users |
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What's next
Browse our library of ready-to-use recommendation recipes designed for
common use cases across industries.
Explore recommendation recipes →
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