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Validity and Demand Metric partnered to measure the impact CRM data quality has on sales team effectiveness, revenue generation, and the success of business initiatives. 

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The State of Artificial Intelligence in Marketing Infographic

Despite 75% of study participants saying they “understand” how Artifical Intelligence (AI) can impact sales and marketing, less than 1 in 5 organizations are actually using AI.

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In October 2013, Demand Metric conducted a benchmarking study, with 227 respondents, to understand the relationship between data quality and revenue growth.

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Chief Analyst Jerry Rackley will share key findings from this recently concluded study that will show the impact of dirty data on conversion rates, and how & where data is stored, cleaned and managed.

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Demandbase and Salesforce Pardot partnered with Demand Metric to take the pulse of over 100 B2B marketing and sales people about their understanding, usage, impact, and optimism surrounding AI.

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The State of Artificial Intelligence in B2B Marketing

Artificial Intelligence (AI) is getting a lot of attention in marketing circles and for good reason; it promises to transform marketing. Join us as we share insights from our recent research study on AI and provide practical advice about how to better utilize emerging technology.

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By following the tips set out in this session, your team will no longer have to guess whether your website is an effective B2B marketing tool.

Media Mix Modeling Checklist

Use this checklist to help you create a marketing data table and implement a media mix model.

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Scott Brinker, president, CTO and co-founder of ion interactive shares insights from recent research on Digital Body Language, sharing his perspective and research results on the problems and pathways to better sharing and utilizing this valuable data.

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Dun & Bradstreet sponsored a Demand Metric study to learn how companies are using acquired data and how that data is making a difference in campaigns, demand generation and other key results.

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Read this Guide to help you organize your data management efforts. You will also learn how to define goals, specify requirements and build a plan to meet those requirements for data management success.