Harnessing AI for Customer Sentiment, Product Content, and Pricing Optimization
Webinar: Harnessing AI for Customer Sentiment, Product Content, and Pricing Optimization
If you’re stuck in a state of analysis paralysis – with too much data and too little time to make sense of it – you’re bound to fall short of today’s customer expectations. Our upcoming webinar will show you how you can harness Artificial Intelligence (AI) to better understand your data and enhance your future consumer-brand interactions.
Join guest speakers from Merkle, Forrester, and Ugam, a Merkle Company, as we explore:
- How artificial intelligence can be applied to large volumes of unstructured digital data
- How digital intelligence extends the consumer-brand information exchange, including
- Product Content
- Pricing Optimization
- Customer Sentiment
- How customer sentiment extends marketing measurement to shed light on “how” campaigns perform and “why”
Register today for “Harnessing AI for Customer Sentiment, Product Content, and Pricing Optimization,” and join us for the live webinar on January 30 at 1 p.m. EST.
Overview
Title: Harnessing AI for Customer Sentiment, Product Content and Pricing Optimization
Date: Thursday, January 30, 2020
Time: 01:00 PM Eastern Standard Time
Duration: 1 hour
Summary
The digital economy has changed how customers interact with a brand, presenting new opportunities to build valuable relationships with brands. To seize these opportunities, marketers must keep up with the rich information exchange customers now expect. Easier said than done, right?
To establish competitive advantage, leading brands are turning to artificial intelligence (AI) and other advanced analytics techniques to build the next generation insights required to make business decisions in today’s digital economy. Join guest speakers from Forrester; Ugam, a Merkle Company; and Merkle for a webinar as they explore:
Key Takeaways:
- How artificial intelligence can be applied to large volumes of unstructured digital data
- How digital intelligence extends the consumer-brand information exchange, including:
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Product Content: How to ensure customers have a consistent digital experience regardless of where they are exposed to the brand
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Pricing Optimization: How to harness competitive data to determine how to price and promote a brand
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Customer Sentiment: How to capture and categorize product reviews and social media mentions to inform brand strategy
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How customer sentiment extends marketing measurement to shed light on both ‘how’ campaigns perform and ‘why’
Speakers
Principal Analyst of Customer Insights
Forrester
James serves Customer Insights Professionals. He is the leading global analyst tracking and defining the value and impact of digital customer information ondigitally transforming businesses. His digital intelligence models recognize the big data and advanced analytics approaches that transformed businesses havetaken to continually optimize and evolve decisions, experiences, and actions. With his research and experience, he works with senior leaders on insightsstrategies for sustained market differentiation. James also works with all sizes of technology and services vendors in the digital data, analytics,personalization, and optimization space to define their business strategy, go-to-market, and product road maps.
His responsibilities at Forrester include leading the research on digital intelligence, insights-driven business, and location intelligence; providing end user andvendor strategic advisory; keynoting at industry events; and maintaining a role of key market influences in his field.
Co-Founder and Chief Commercial Officer
Ugam, a Merkle Company
Mihir is responsible for business development and delivering customer success at Ugam. He has over 20 years of experience, and has worked closely with clients across the globe, to understand their needs and help create solutions for their success. He has a Bachelor’s degree in Electronics Engineering and a Master’s degree in Business Management.
SVP, Attribution and Performance Analytics
Merkle
Scott has more than 20 years of experience developing and implementing analytical solutions into marketing programs for many different companies, including GEICO, AEGON, MBNA, Fidelity, DirectTV, Eli Lilly, GSK, and Dell. Prior to joining Merkle, Scott worked for American Express as a statistician and modeler and taught graduate students statistical methods and experimental design at Cornell University. Scott has dual BS degrees in Brain and Cognitive Sciences and Statistics from The University of Rochester, a MS degree in Statistics from Cornell University, and an MBA from Johns Hopkins University.
Scott has been honored with several awards within Merkle, including The “Merkled” Award (Employee of the Year), Database Marketing Excellence, Outstanding Achievement, and the Chairman’s Award, which is the highest recognition within Merkle. Scott’s team also won the NCDM Excellence Award in the Modeling and Analytics Area with GEICO in 2005. Additionally, Scott has presented numerous times at the NCDM and DM Days, and has published 3 white papers for Merkle since 2008.
