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—   analytics   —

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analytics:
Creating a propensity model for publishers

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analytics:
How my focus on analytics has changed as an independent publisher

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analytics:
How can publishers measure trust and other editorial metrics?

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analytics:
A guide to analytics for independent journalists

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analytics:
Why producing less news leads to a boost in subscriptions

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analytics:
GDPR: How publishers can track things without tracking people

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analytics:
Machine Learning is like black-magic for publishers

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analytics:
Dwell time, watch time, and the new world of audience analytics

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analytics:
Advertising Analytics is from Mars; Subscriber Analytics is from Venus

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analytics:
Everyone Measures Conversions the Wrong Way. Let's Fix That!

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analytics:
How Small Publishers Should Think About Advanced Analytics

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analytics:
How Do You Identify Real People?

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analytics:
A Deep Dive into the Future of Subscriber Analytics

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analytics:
Fascinating Traffic Experiments by Publishers

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analytics:
Publishers, You Need 'What Should Happen Next?' Analytics

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analytics:
Data that looks like it means something, but doesn't

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analytics:
How Editorial Analytics can Help you Define your Editorial Strategy

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analytics:
The problem with Medium's New Metric: Public vs Private Analytics

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analytics:
Let's Calculate What Publishers Could Earn from the Google 'Snippet Tax'

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analytics:
The Analytic Connections That Define Intent

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analytics:
Geeking Out Over Analytics

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analytics:
Flawed Metrics that Publishers Use all the Time

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analytics:
How Do You Define Reader Loyalty?

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analytics:
Understanding Your Audience: Visualizing Highly Advanced Analytics

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analytics:
No, The Polls Didn't Fail Us

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analytics:
A Hard Look at YouTube Views vs TV Ratings

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analytics:
More Facebook Data. How Does US, UK and Nordic Publishers Perform?

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analytics:
Facebook Traffic to Publishers? Up? Down? Huh?

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analytics:
How a Growth in Social Engagement is Also a Drop in Reach and Loyalty

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analytics:
A Different Way to Think About Churn Rates and Subscriber Dashboards

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analytics:
Accurate Analytics is Painful

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analytics:
Why Digital Analytics Have Become so Complex

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analytics:
We Need Better Digital Media Studies

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analytics:
Misleading Types of Graphs For The Media

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analytics:
Measuring Impact Is Critical For Niche Verticals

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analytics:
Be Better At Learning From Ad Studies

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analytics:
Tracking The Value Accurately Across Social Channels

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analytics:
From Data to Love. How to Change Your View on Data

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analytics:
What Is Tracking And What Isn't Tracking

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analytics:
High-Level KPIs for Publishers

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analytics:
The Unique User Reality Check

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analytics:
You Can't Compare Facebook and YouTube Views

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analytics:
Revisiting Read-Rates And Other Content Focused Analytics

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analytics:
Introduction To The Future of Learning Analytics

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analytics:
Human Analytics, Please! When A View Is Not A View

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analytics:
The Trouble With Ad Spending Studies

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analytics:
The Usefulness of Real-time Analytics

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analytics:
A Lesson in Traffic, Reads and Conversions

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analytics:
Valuing Traffic Beyond Attention Minutes

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analytics:
A Lesson in Social Tracking

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analytics:
Building Customer Momentum and Lifetime Value

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analytics:
Future of Analytics and the Behavior of Web Shoppers

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analytics:
How We Fail at Data and Analytics

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analytics:
The KPI Frameworks for Brands and Media

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analytics:
A look at Twitter Analytics

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analytics:
The Mystery of Our Social Traffic

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analytics:
Valuing Your Traffic Beyond Views and Shares

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analytics:
How to Really do Analytics For Web Shops

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analytics:
Top Media Sharing in the US

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analytics:
What Creates The Highest Amount of Sale?

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analytics:
CPA, CPM, CPC ... WTF?

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analytics:
Measuring Results: Don't be Fooled By Math

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analytics:
Making Sense of Social Media Monitoring and Sentiment Analysis

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analytics:
The Even Scarier Graph for Newspapers (and partly brands)

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analytics:
Measure Unique Subscribers

free

analytics:
98% Can't Identify With The Newspaper

free

analytics:
Click Data from Associated Press' Sponsored Tweets

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analytics:
Reverse Engineering Facebook EdgeRank - Beyond the Theory

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analytics:
Debunking the Effectiveness of Print Advertising

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analytics:
Modern Analytics for Subscription Based Media

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analytics:
Facebook Promoted Posts; Another Test, Another Puzzle

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analytics:
Social Conversion Rates: Where The Real Value Comes From

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analytics:
Initial Test of Facebook's Promoted Posts

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analytics:
Facebook Insights: Debunking Friends of Fans

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analytics:
One Million Facebook Likes? So what?

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analytics:
Analyze The Data You Don't Have

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analytics:
The Power of One Tweet

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analytics:
Debunking The Unique Visitor: Finding Your Real Readers

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analytics:
Beyond Facebook Analytics, The Guide

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analytics:
Dissecting a Print Magazine

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analytics:
The Future of Analytics for Publishers

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analytics:
Tweet Buttons *don't* drive 7x more sharing

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analytics:
Identifying Your Real Readers, Not Just Traffic

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analytics:
Where Are People Really on Facebook?

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analytics:
Debunking The Myth That People Read Less

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analytics:
Dissecting an Episode of MythBusters

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analytics:
The Cost of a Fan

free

analytics:
Don't Trust Your Social Referral Data

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analytics:
Forget Bounce Rates, focus on Conversions

free

analytics:
What Per Post Impressions on Facebook Really Mean

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analytics:
More on Replies and Retweets

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analytics:
Real Social Data, Please

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analytics:
Measuring Real People vs. Normal Analytics

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analytics:
The Real Story Behind McDonald's Foursquare Campaign

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analytics:
Facebook Users vs. Population = 120%

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analytics:
Incorrect Social Referrer Statistics

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analytics:
7 Myths of Social Media ROI

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analytics:
The Power and Value of a Fan

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analytics:
Usable Graphs are Inaccurate Graphs
 
 

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Thomas Baekdal

Founder, media analyst, author, and publisher. Follow on Twitter

"Thomas Baekdal is one of Scandinavia's most sought-after experts in the digitization of media companies. He has made ​​himself known for his analysis of how digitization has changed the way we consume media."
Swedish business magazine, Resumé