Garrett Eastham

CompareMetrics
Bazaarvoice

Garrett is a marketing technologist with a knack for helping leading brands create, capture, and deliver value from their digital consumer experiences. He played a key role in developing the big data and analytics initiatives at Bazaarvoice as the Data & Analytics Product Manager where he led the development of a groundbreaking new tracking methodology for user generated content, allowing clients to understand the financial impact of specific review content on consumer purchasing behavior. As the Co-Founder and CEO at Compare Metrics, he drives overall business and product strategy while also leading the day-to-day execution of the company’s vision.

Garrett holds a BS in Computer Science from Stanford University where his research work in semantic search and human computer interaction (HCI) formed the theoretical basis for the Compare Metrics solution and architecture, and he has been tapped to speak publicly as an expert on these topics. He has multiple patents pending in the areas of web analytics, data mining, and recommender systems.

Bazaarvoice

NASDAQ: BV

Bazaarvoice is one of the world's largest shopper networks connecting people, products, brands and retailers at each stage of the buying journey. For more than 2,000 clients globally, Bazaarvoice helps channel authentic, consumer-generated branded content into all the places that influence purchase decisions, giving our clients business insights so they can offer consumers more of what they want. Many of the world's largest retailers rely upon Bazaarvoice to drive more traffic to and conversion on their ecommerce sites, and the Bazaarvoice network helps brands participate directly in the retail channel to influence consumers at the point of purchase. Headquartered in Austin, Texas, Bazaarvoice has offices in Amsterdam, London, Munich, New York, Paris, San Francisco, Stockholm and Sydney.

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Edgecase

Inspiring better decisions

Edgecase is the platform behind today’s most inspiring shopping experiences. Using a proprietary combination of machine learning and human content curation, the Edgecase platform allows shoppers to communicate their unique preferences, context and style to discover products and make confident buying decisions.  

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