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S4E20 - People are the biggest challenge featuring Michael St Laurent

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Manage episode 428559737 series 3266320
Content provided by Rommil Santiago's Experiment Nation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rommil Santiago's Experiment Nation 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://player.fm/legal.

Michael St Laurent, a seasoned CRO expert, shared his insights on large-scale testing Here are 5 key takeaways for marketers: Prioritization is key: Large-scale testing requires prioritizing tests based on potential impact and aligning with overall business goals. AI is the future, but humans guide it: Mike emphasizes the power of AI in automating processes and analyzing data, but highlights the importance of human expertise and guidance. Data quality is crucial: AI models rely heavily on the quality of data. Invest in building a robust data infrastructure to ensure accurate results. People are the biggest challenge: Navigating internal politics and managing stakeholder expectations is often the biggest hurdle for large-scale testing. Building a testing culture is a win: The ultimate goal of large-scale testing is to create a data-driven culture that fosters continuous improvement and better user experiences.

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154 episodes

Artwork
iconShare
 
Manage episode 428559737 series 3266320
Content provided by Rommil Santiago's Experiment Nation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rommil Santiago's Experiment Nation 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://player.fm/legal.

Michael St Laurent, a seasoned CRO expert, shared his insights on large-scale testing Here are 5 key takeaways for marketers: Prioritization is key: Large-scale testing requires prioritizing tests based on potential impact and aligning with overall business goals. AI is the future, but humans guide it: Mike emphasizes the power of AI in automating processes and analyzing data, but highlights the importance of human expertise and guidance. Data quality is crucial: AI models rely heavily on the quality of data. Invest in building a robust data infrastructure to ensure accurate results. People are the biggest challenge: Navigating internal politics and managing stakeholder expectations is often the biggest hurdle for large-scale testing. Building a testing culture is a win: The ultimate goal of large-scale testing is to create a data-driven culture that fosters continuous improvement and better user experiences.

  continue reading

154 episodes

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