making predictive analytics productive: are you learning from social data?

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Thanks to improved measurement tools, it is now standard among social strategists to present hard data on ROI and build strategies backed by statistics and charts - a far cry from the early years of social media. But while this data makes for great PowerPoints, concerns remain that numbers don't tell the whole story. What does "reach" really mean? Can influencers really be ranked on a single numerical spectrum? Enter predictive analytics: Advocates suggest that simply pulling numbers from Big Data tools isn't enough - you need to match the data to the story that you are trying to tell, and liberate information from what Wes Nichols calls "swim lanes". Each piece of an organization has a different picture of the data, and only combined do they provide meaningful lessons. This webinar is designed as a heart-to-heart conversation about the right and wrong ways to make use of predictive analytics.

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Making Predictive Analytics Productive: Are You Learning from Social Data?

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Our Speakers Kaiser Fung is a recognized expert in marketing analytics, a well-known speaker, and blogger. He is Vice President of Business Intelligence and Analytics at Vimeo. Previously, he led the analytics team at Sirius XM Radio. He is the creator of the acclaimed Junk Charts blog (http://junkcharts.typepad.com), which pioneered the critical examination of data and graphics in the mass media; and the author of two popular books on statistical thinking, including the recent release Numbersense: How to Use Big Data to Your Advantage.

Mike Liddell General Manager, Digital Before coming to NGP VAN, Mike started working on state legislative and congressional campaigns to later become the Director of Online Communications for the 2004 Democratic National Convention. He then put in two tours of duty as the Director of Online Communications for the Democratic Senatorial Campaign Committee (DSCC). Most recently, he served in the Obama Administration, where he led the award-winning redesign of Treasury.gov. @mliddell

Eric Siegel, Ph.D., founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. In addition to being the author ofPredictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Eric is a former Columbia University professor who used to sing to his students, and a renowned speaker, educator, and leader in the field. @predictanalytic

Paul Dunay, moderator, is an award-winning B2B marketing expert with more than 20 years’ success in generating demand and creating buzz for leading technology, consumer products, financial services and professional services organizations. @PaulDunay

Predictive Analytics World

How Predictive Analytics Leverages Social Media

How Predictive Analytics Leverages Social Media

Social Media TodayNovember 2013

Eric Siegel, Ph.D.Founder, Predictive Analytics WorldAuthor, Predictive Analytics

Predictive Analytics World

Predictive Analytics Worldwww.ThePredictionBook.com

Predictive Analytics World

Predictive Analytics World

The Social EffectThe Social Effect

Predictive Analytics World

The Social EffectThe Social Effect

Predictive Analytics World

Friendship

Predictive Analytics World

Optus (Australian telecom)Doubled churn model performancewith social data

Major N. American Telecom700% more likely to cancel if someone in your network does

Predictive Analytics World

Amazon product reviews

Research model IDs 83%."Trees died for this book?"

Predictive Analytics World

Editingrequests

Polite editors achieve high status;once elevated, become less polite

Predictive Analytics World

Writtencustomerfeedback

85% accuracy

Predictive Analytics World

Friendships

LinkedIn: this is"the most important data product we built."

Predictive Analytics World

Degreeof influence

Predictive Analytics World

Publicitytweet

55% increase in web page views publicizing Video Music Awards

Predictive Analytics World

Predictive Analytics World

Predictive Analytics World

To Learn More:The Predictive Analytics Guide

To Learn More:The Predictive Analytics Guide

www.pawcon.com/guide

On AccuracyKaiser Fung

Numbersense | Junk Charts

Action OutcomePrediction

ModelData Prediction

Outcomes

Good

Require

DataGood

Data

ViewThrough

A user viewed a display ad

Data

ViewThrough

A server sent an ad to a browser

Data

Clicks

Expressed interest

Data

Clicks

Fat finger

Expressed interest

Tricked

Fraud

Data

FB Likes

New user converts

Data

FB Likes

Loyal user re-affirmsNew user converts

Response to offerPurchased

PurchasePredictive

ModelEmail

Address

$10 for your email

More Purchases?Prediction

Mike Liddell, General Manager - Digital

The Mustache

Social Analytics + Politics

Singular Focus

Social data including relationships

Analytics should have a seat at the table

Join us on Thursday for…

11/7 Social Media Hacks and Hijacks: The Best Tips and Tricks to Maximize Your Social ROI

http://socialmediatoday.com/hacks-and-hijacks-webinar

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