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SearchChat Podcast: Is Anonymous Information Really Anonymous?

Posted on by Tim Peter

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In today’s podcast episode Steve Zakur and I respond to a recent article that criticized anonymous data, with the main critique being that it isn’t really anonymous. If you can grab the IP address and dig further to find identities, is that really anonymous personalization? Our answer: not really, but that isn’t what anonymous data really is. 

So what truly is anonymous data, and when is it appropriate to bring that data into the forefront in your discussions with customers? We coin and explain the phrase “appropriately anonymous” to give our take. Anonymous data isn’t pulling personal information, then dropping the “personal” parts of it, (as if you could just intentionally forget information about your visitors). It’s pulling from new types of data altogether.

Check out the latest podcast episode on anonymous behavior-based personalization.

0:00 Intro

1:40 Anonymous data: is it anonymous?

9:51 Listen to GDPR. Skip personal info

14:21 What do B2B marketers need to tackle data?

25:23 Outro

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Search Chat is SoloSegment’s podcast dedicated to all things search AI and content marketing related. Who is SoloSegment? We’re a technology company focused on site search analytics and AI driven content discovery to improve search results, increase customer satisfaction and unlock revenue for your company. If you think we might have the answer to your conversion problems, feel free to connect with us.

Author

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    Tim Peter is the Senior Advisor at SoloSegment. An expert in e-commerce and digital marketing strategy, web development, search marketing, and analytics, Tim focuses on the growth of the social, local, mobile web and its impact on both consumer behavior and business results. SoloSegment uses machine learning and natural language processing to improve engagement and conversion for large enterprise, B2B companies. SoloSegment provides analytics that improve site search conversion and machine learning technologies that improve content effectiveness.

  • Steve Zakur

    Stephen Zakur is CEO of SoloSegment. SoloSegment uses machine learning and natural language processing to improve engagement and conversion for large enterprise, B2B companies. Prior to joining SoloSegment, Steve held a variety of executive positions at IBM focused on marketing, technology, and sales. Steve holds an MBA from the Stern School at New York University.

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