Episode 25: Google Attribution

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As a continuation of last week’s episode of Analytics Neat, we take a look at what Google offers for Attribution within the Google Marketing Platform this week.  We’ll see how Google’s offering compares to Adobe, what’s missing, and what this means for the industry going forward.  I’d recommend you listen to Episode 24 as well to get the full story.  All of this and more in this week’s episode of Analytics Neat.  Thanks for listening!

Please rate, review and subscribe on iTunes and Google Play.  You can continue the conversation with me directly via the Contact Form , Twitter (@billbruno) using  #AnalyticsNeat, or leave a comment right here on the post.

Episode 24: Adobe Attribution IQ

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On this week’s Analytics Neat we review Adobe’s launch of Attribution IQ for their customers.  What is it?  What does it do?  What doesn’t it do and what are the things marketers need to keep in mind when interacting with the sandbox?  We’ll cover all of this and more in this week’s episode of Analytics Neat.  Thanks for listening!

Please rate, review and subscribe on iTunes and Google Play.  You can continue the conversation with me directly via the Contact Form , Twitter (@billbruno) using  #AnalyticsNeat, or leave a comment right here on the post.

Episode 16: IAB Tech Lab Data Transparency Standards

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In this week’s episode of Analytics Neat we review the Data Transparency Standards for audience targeting released for comment by the IAB Tech Lab at the end of May.  The first two parts of this four-part framework are available for comment until July 16th.  What does the framework hope to accomplish?  How will advertisers benefit?  What innovation can we expect from the tech industry as a result of the adoption of this framework?  All of this and more in this week’s episode.  Thanks for listening!

You can find the IAB Tech Lab framework here.

Please rate, review and subscribe on iTunes and Google Play.  You can continue the conversation with me directly via the Contact Form , Twitter (@billbruno) using  #AnalyticsNeat, or leave a comment right here on the post.