Don't miss Inspire 2024, taking place May 13 - 16, 2024 at the Venetian, Las Vegas. Register Now.

Use Case

Content Recommendation Engine

 

Your website may contain mountains of great content, but how can you highlight what’s interesting to each visitor? Use an analytics-driven personalization system to recommend content based on the interests and behavior of similar visitors.

Bottom-Line Returns

Create your own recommendation engine to reduce what you spend on your tech stack

Efficiency Gains

Easily and quickly update engine parameters to ensure your recommendations match your visitors’ interests

Top-Line Growth

Implement a custom, data-driven approach to getting your highest-value content in front of the right users

 

Business Problem

Your customers and prospects will spend a limited amount of time searching through all the content on your website. If you don’t help them find content that matches their interests, they’ll settle for second-best, or they’ll lose interest and go to your competitor’s site. Either way, you’ve lost the chance to delight them.

Alteryx Solution

A recommendation engine is designed to categorize users based on the way they navigate your website and their common patterns of engagement. When the engine detects similar behavior in other users, it recommends relevant, previously chosen content.

Instead of using expensive products like Sitecore or Optimizely to automate the complex, back-end processes of recommendation, use an end-to-end analytics platform to create your own engine.

With Alteryx you can:

  • Directly connect your recommendation engine to more data sources than just your website
  • Fully blend user data from across touchpoints to develop interest profile
  • Keep users engaged in Alteryx by providing suggestions based on each user’s unique historical activity
  • Learn more about each user’s specific interests in content through passive feedback
  • Connect existing Alteryx workflows to a master recommendation engine workflow using Macros, like the example below
 

Content Recommendation Workflow with Macros

1 – Simplify with Macros

Using macros, you can build entire workflows and then reference that workflow on a master workflow, or you can plug in pre-build workflows. Macros enable you to save individual analytic processes you use frequently and insert those into more complex processes.

2 – Prep and Blend

This macro contains a complex process that sorts and segments users by interests and experience level.

3 – Advanced Analytics

Alteryx macros can also be used to leverage complex modeling protocols. This macro is used to build customized article recommendations with a neural network model.

4 – Data Export

Implement macros that contain the entire necessary process of automating export to AWS, Snowflake, and your community.

 

Additional Resources

 
 
Starter Kit for Snowflake

Learn More
 
 
Starter Kit for Tableau

Learn More
 
 
Starter Kit for Intelligence Suite
Learn More
 

Recommended Resources

 
Blog Post
Nuts and Bolts: How Alteryx Architecture Helps Supercharge Decision-Making
  • IT Leader
  • IT Professional
  • IT
Read Now
 
Blog Post
A Platform to Power the Modern Enterprise
  • IT Leader
  • IT Professional
  • BI/Analytics/Data Science
Read Now
 
Webinar
AiDIN: Reinventando el Business Intelligence gracias a la IA generativa
El BI sigue siendo clave en la era Data-Driven. Con Alteryx AiDin, ahora puedes crear procesos analíticos en minutos usando datos sintéticos generados por IA, reduciendo cuellos de botella y brindando autonomía a los usuarios de negocio. Responde preguntas, visualiza insights y comparte automáticamente con IA Generativa.
  • Live Webinar
  • Analytics Automation
  • BI/Analytics/Data Science
Watch Now