At a glance
Overview
Hear industry experts share key findings from Forrester about customer experiences and the advertising and marketing technologies that influence them
Date & time
Overview
Overview
Who should watch
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Growth marketing
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Product marketing
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Data marketer
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Customer success
Overview
Speakers
![](https://pages.awscloud.com/rs/amazonwebservicesm2/images/awsmp-attkeT4FMVHnoweuf-130310_Ankur_Jain_sm_1_.jpg)
Ankur Jain
Global Cloud Practice Lead, Merkle
![](https://pages.awscloud.com/rs/amazonwebservicesm2/images/awsmp-atthmdQvfQEwAurUT-Lisa+Hopkins-1-.jpg)
Lisa Hopkins
Global Advertising & Marketing Technology Partner Strategy, AWS
![](https://pages.awscloud.com/rs/amazonwebservicesm2/images/awsmp-atthNvS4wO2w9kWnH-Steven-Casey.png)
Steven Casey
VP, Research Director, Forrester
![](https://pages.awscloud.com/rs/amazonwebservicesm2/images/awsmp-attWbF6xhlzRyGrkA-zackbioedit_bw.jpg)
Zack Wenthe
CDP Evangelist, Treasure Data
![](https://pages.awscloud.com/rs/112-TZM-766/images/awsmp-icon-peccy.jpg)
Peccy
Peculiar Ways, Amazon
![](https://pages.awscloud.com/rs/112-TZM-766/images/awsmp-icon-peccy.jpg)
Peccy
Peculiar Ways, Amazon
![](https://pages.awscloud.com/rs/112-TZM-766/images/awsmp-icon-peccy.jpg)
Peccy
Peculiar Ways, Amazon
![](https://pages.awscloud.com/rs/112-TZM-766/images/awsmp-icon-peccy.jpg)
Peccy
Peculiar Ways, Amazon
Details
Description
Does your organization prioritize customer experience? Do you have data siloes that hinder your ability meet customer expectations? How has the pandemic impacted your customer journey? AWS Marketplace commissioned Forrester to find these answers and more.
Join this webinar to hear AWS, Forrester, Merkle, and Treasure Data speaker experts share and discuss findings from the study about the state of customer experiences and the advertising and marketing technologies that influence those experiences to meet customer expectations.
Key Takeaways
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Prioritizing the customer experience with modern MarTech solutions that improve data management and customer expectations
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Overcoming data hurdles and siloed solutions that can’t deliver the data quality organizations need to meet their goals
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Procuring and implementing solutions that are efficient, flexible, and fill technology gaps
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Modernizing solutions to improve data and customer trust