Remove regression
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What is predictive analytics?

Martech

The data analyzed can include website and app engagement, customer sentiment and social media activity, as well as contextual data like location and even weather. A basic tool, it can give yes/no answers on the likelihood of an event occurring ( logistic regression ). Classification models.

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How Technology Places CMOs at Risk of Losing Their Strategic Role

Vision Edge Marketing

Tools for social media engagement, content management, email automation, demand generation lead capturing, project management and workflow, customer relationship management (CRM), event management, web analytics, and the list goes on. What’s troubling to me is the sense that the role of Marketing is regressing. Fast forward.

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Predictive Models – Future Insights from Past Data

Engagio

This data can come from historical records (think CRM), real-time feeds (social media, BI tools), structured data (spreadsheets), unstructured data (text, images, etc), and more. Regression Model This model predicts a continuous outcome or numerical value based on one or more input features. It all starts (and ends) with data.

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Social Media Measurement – Would You Still Do It If There Was No ROI?

Marketing Insider Group

There has been plenty of debate about the ROI of social media. And just before my friend Eric Wittlake went on vacation this week, he stoked my creative juices once again with this thought-provoking post about social media measurement. To summarize, the CMO of Kmart stated that TV is easier to measure than Social Media.

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Effective B2B Sales Coaching Via Situational Fluency

Marketing Insider Group

Regression to the norm” is the common expression. Training and role-playing is for sales preparation and practice. Coaching is for in-game adjustments. So What’s the Problem? Under pressure, newly learned or infrequently used behaviors often break down.

B2B Sales 172
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Marketing Mix vs. Attribution Modeling: What’s the Difference?

LeadsRX

Companies that incorporate ad campaigns, social media, blogging, and webinars for their marketing efforts use attribution models. It does so by obtaining information from all of the factors that could affect the marketing channels’ success and carrying out a regression analysis.

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Unstructured Data Vs. Structured Data: A 3-Minute Rundown

Hubspot

It’s also difficult to examine unstructured data with standard data analysis methods and tools like regression analysis and pivot tables. The most common examples of unstructured data are survey responses, social media comments, blog comments, email responses, and phone call transcriptions. Unstructured Data Examples.