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Engineering rigour vs PR Malarkey - Stephen Waddington on data, stories, and measurement

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Manage episode 521249582 series 3562888
Content provided by Sam Knowles. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Knowles or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Master Data Storyteller, Sam Knowles, welcomes Wadds Inc.'s Stephen Waddington to explore engineering-style rigour in PR. They discuss: elevating the function during the pandemic, building multi-source datasets for the "Pints & Profits" case study, why "synthetic audiences" are "ultimately junk," McDonaldization and repeatability, balancing numbers and narrative, and the pitfalls of AVE and proxy metrics - plus a call for all PR practitioners to contribute to Stephen's PhD research.

Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

Resources and social media

• Contribute to Stephen's PhD research: https://publicrelationsmanagement.phd • "Pints & Profits" (Brew case study) http://bit.ly/3KC7qcE • Market Research Society: "Campaign for Better Data" http://bit.ly/4pD2RyZ • Stephen's blog: https://wadds.co.uk/blog • Stephen's Substack: https://wadds.substack.com • Stephen's LinkedIn profile: https://www.linkedin.com/in/stephenwaddington/

  continue reading

62 episodes

Artwork
iconShare
 
Manage episode 521249582 series 3562888
Content provided by Sam Knowles. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Knowles or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Master Data Storyteller, Sam Knowles, welcomes Wadds Inc.'s Stephen Waddington to explore engineering-style rigour in PR. They discuss: elevating the function during the pandemic, building multi-source datasets for the "Pints & Profits" case study, why "synthetic audiences" are "ultimately junk," McDonaldization and repeatability, balancing numbers and narrative, and the pitfalls of AVE and proxy metrics - plus a call for all PR practitioners to contribute to Stephen's PhD research.

Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

Resources and social media

• Contribute to Stephen's PhD research: https://publicrelationsmanagement.phd • "Pints & Profits" (Brew case study) http://bit.ly/3KC7qcE • Market Research Society: "Campaign for Better Data" http://bit.ly/4pD2RyZ • Stephen's blog: https://wadds.co.uk/blog • Stephen's Substack: https://wadds.substack.com • Stephen's LinkedIn profile: https://www.linkedin.com/in/stephenwaddington/

  continue reading

62 episodes

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