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S4E20 - People are the biggest challenge featuring Michael St Laurent

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Contenuto fornito da Rommil Santiago's Experiment Nation. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Rommil Santiago's Experiment Nation o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

160 episodi

Artwork
iconCondividi
 
Manage episode 428559737 series 3266320
Contenuto fornito da Rommil Santiago's Experiment Nation. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Rommil Santiago's Experiment Nation o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

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