Track Your Traffic: Web Analytics for Journalists

This Webinar was originally broadcast on:
December 09, 2010 Enroll Now
Watch and listen to the original one-hour Webinar in its entirety. This Webinar recording features the full presentation led by Poynter faculty and visiting faculty including Q&A from the audience and resources from the presenter.

Course Overview

Track Your Traffic: Web Analytics for Journalists
Originally Broadcast On:
December 09, 2010
Time Estimate:
One hour for the main presentation and questions. Sometimes presenters stay longer to answer additional questions from participants.

About Webinars

In this virtual classroom, participants can join in a seminar led by Poynter faculty and visiting faculty. This screencast includes live audio and a slideshow presentation in which participants can post questions and respond to poll questions posed by the host.

Do you know what makes a "unique" visitor so unique or why your target bounce rate depends on your site strategy. Learn the tools, process, and vocabulary that will help you better understand your site and your audience, and help you build an effective online design.

What Will I Learn:
  • Why anyone publishing on the Web should understand web analytics
  • The most common tools for measuring web traffic
  • The methodology behind specific metrics
  • Some of the jargon surrounding web analytics
  • Some best practices for setting benchmarks for your site
Who Should Take this Course:

This session is for editors, reporters, producers, bloggers and anyone who publishes online news content.

Course Instructor:

Damon Kiesow

Damon Kiesow is a senior product manager at The Boston Globe, where he helps develop new mobile apps and mobile websites for and

In 2010-2011 he was the Digital Media Fellow at The Poynter Institute, studying and writing about the use of mobile technology in journalism. He has presented at numerous conferences and Webinars on the topics of mobile media, change leadership, multimedia newsroom management and photojournalism.

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