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Meet Optimizely X Recommendations

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With Optimizely X Recommendations, powered by machine learning, you can deliver more relevant recommendations and start generating hands-off ROI.
Check out this content and learn:

1. How to quickly get started without coding or a product feed
2. The possibilities of experimenting with recommendation algorithms, placements, layouts and more
3. Measurement best practices for recommendations, including revenue, engagement and more

Veröffentlicht in: Technologie
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Meet Optimizely X Recommendations

  1. 1. Meet Optimizely X Recommendations Deliver recommended products and content
  2. 2. Chris Tiutan Product Marketing Manager Jon Noronha Director, Product Management
  3. 3. Agenda Introducing Optimizely X Recommendations overview Demo How it works Use cases Q&A
  4. 4. Experimentation is at the core of every discovery Science Athletics Business Politics
  5. 5. 10,000 2012 2013 2014 20152011 Adobe Google Oracle #1 Experimentation Platform 5,000 Websites
  6. 6. Experimentation Platform
  7. 7. Optimizely X Web Experimentation Deliver great web experiences on every device Optimizely X Web Personalization Deliver targeted content and experiences in real time Optimizely X Web Recommendations Deliver recommended products and content Optimizely X Full Stack Democratizing the power of deep experimentation 
 using Python, Java, Ruby, Node and more Optimizely X Mobile Deliver great mobile app experiences Optimizely X OTT Deliver great over-the-top TV app experiences
  8. 8. Hands-off ROI Powered by machine learning Not a black box Deliver recommended products and content app.optimizely.com Optimizely X Recommendations
  9. 9. Demo
  10. 10. How it works
  11. 11. No product feed required
  12. 12. Viewed Derby Tier Backpack at 1:10pm Viewed Dawson Trolley Bag at 1:14pm Viewed Five Panel Hat at 4:15pm
  13. 13. Supported Algorithms Co-browse: other visitors who looked at this item also viewed these other items (ideal for PDP) Co-buy: other visitors who purchased this item also bought these other items (ideal for PDP, Cart) Popular: the most frequently viewed or bought items across the whole catalog (ideal for Homepage) Recently viewed: you browsed these things before (“pick up where you left off”) User-based (coming soon): recommended for
 you, based on your past behavior
  14. 14. Use cases
  15. 15. Products Approach: drive more and bigger purchases - Offer more alternatives - Cross-sell with related items - Highlight crowd favorites - Drive discovery across the catalog Outcomes: higher average order value, lower abandonment rate, more purchases per session
  16. 16. Content Approach: drive more engagement with content - Recycle whitepapers, blog posts, infographics, and other static content - Deflect support calls with knowledge base articles and community posts - Drive traffic to the great content you already have Outcomes: higher CTR, more pages viewed per session, lower call center volume
  17. 17. Questions? Request a demo optimizely.com/request-demo Join our community community.optimizely.com
  18. 18. Thank you