Customer Analytics, Cloudflare, Advertising, Zeotap

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In this week’s episode of Analytics Neat we look at the growth of the Customer Analytics market, review a new offering from Cloudflare, and discuss a couple of data convos I had on the Undercard. For the Main Event, we take a look at Zeotap’s ID+ offering and the Forrester topic of Data Deprecation. All this and more in this week’s episode of Analytics Neat. Thanks for listening this week!

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

Shared Data, Facebook Lawsuit, Google, Server-Side Truther

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In this week’s episode of Analytics Neat we cover shared data for audience targeting, a Facebook lawsuit, and Google Tag Manager on the Undercard. For the Main Event, we delve into my thoughts about how to best approach client-side and server-side approaches for Tag Management. All this and more in this week’s episode of Analytics Neat.  Thanks for listening this week!

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

 

Episode 48: Google Offers Campaign Management

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In this week’s episode of Analytics Neat we discuss some of the struggles with data accuracy as well as Google’s launch of a free campaign management service to advertisers.  What are four key reasons for why digital data accuracy is so difficult to achieve? Why is Google offering a free service? Who does this impact the most and what questions should you be asking? All of this and more in this week’s episode of Analytics Neat.  Thanks for listening!

Please rate, review and subscribe on iTunesSpotify, 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.