Meet Optimizely X Recommendations

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Meet Optimizely X Recommendations Deliver recommended products and content

Transcript of Meet Optimizely X Recommendations

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Meet Optimizely X RecommendationsDeliver recommended products and content

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Chris TiutanProduct Marketing Manager

Jon NoronhaDirector, Product Management

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Agenda

Introducing Optimizely X

Recommendations overview

Demo

How it works

Use cases

Q&A

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Experimentation is at the core of every discovery

Science Athletics Business Politics

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10,000

2012 2013 2014 20152011

Adobe

GoogleOracle

#1 Experimentation Platform

5,000

Web

site

s

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Experimentation Platform

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Optimizely X Web ExperimentationDeliver great web experiences on every device

Optimizely X Web PersonalizationDeliver targeted content and experiences in real time

Optimizely X Web RecommendationsDeliver recommended products and content

Optimizely X Full StackDemocratizing the power of deep experimentation using Python, Java, Ruby, Node and more

Optimizely X MobileDeliver great mobile app experiences

Optimizely X OTTDeliver great over-the-top TV app experiences

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Hands-off ROI

Powered by machine learning

Not a black box

Deliver recommended products and content

app.optimizely.comOptimizely X

Recommendations

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Demo

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How it works

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No product feed required

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Viewed Derby Tier Backpack

at 1:10pm

Viewed Dawson Trolley Bag

at 1:14pm

Viewed Five Panel Hat

at 4:15pm

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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 foryou, based on your past behavior

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Use cases

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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

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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

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Questions?

Request a demo optimizely.com/request-demo

Join our community

community.optimizely.com

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Thank you