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Treść dostarczona przez Natalija Pavic. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Natalija Pavic lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
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055: Why Affinity Search is Better with Constructor's Courtney Austermehle

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Manage episode 407893992 series 3559776
Treść dostarczona przez Natalija Pavic. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Natalija Pavic lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Listen in as we explore the career of Courtney Austermehle, from her beginnings in sales to her current role as Chief Marketing Officer at Constructor. Courtney's story highlights the dynamic nature of the sales and marketing fields, particularly within the tech industry. Her transition exemplifies blending sales acumen with marketing strategy, offering a unique perspective on scaling impact and the continuous learning required to master marketing tools and tactics.

We unpack how AI leverages consumer behaviors, such as clicks and scrolling, to customize online shopping experiences. The significance of transparency in AI's role and its influence on the decision-making process for merchandisers is brought to the forefront. We also examine the advancements in AI shopping assistants (ASAs) and their profound impact on both the grocery and apparel sectors. Discover how these ASAs create tailored experiences, such as generating recipes based on specialized diets or providing contextually relevant fashion suggestions.

Join us for this exploration that blurs the lines between technology, business, and the human touch in marketing.

Show Highlights:

  • The role of AI in personalizing e-commerce shopping experiences by analyzing consumer behaviors for product recommendations.

  • The interplay between human insight and AI in online retail.

  • Advancements in AI shopping assistants for the grocery and fashion industries.

  • The importance of continuous learning in marketing roles.

  • The importance of AB testing and the "proof schedule" process for demonstrating the effectiveness of Constructor's AI solutions before purchase.

Follow and Review:

We’d love for you to follow us if you haven’t yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We’d love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.

Supporting Resources:

***

Episode Credits

If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

  continue reading

92 odcinków

Artwork
iconUdostępnij
 
Manage episode 407893992 series 3559776
Treść dostarczona przez Natalija Pavic. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Natalija Pavic lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Listen in as we explore the career of Courtney Austermehle, from her beginnings in sales to her current role as Chief Marketing Officer at Constructor. Courtney's story highlights the dynamic nature of the sales and marketing fields, particularly within the tech industry. Her transition exemplifies blending sales acumen with marketing strategy, offering a unique perspective on scaling impact and the continuous learning required to master marketing tools and tactics.

We unpack how AI leverages consumer behaviors, such as clicks and scrolling, to customize online shopping experiences. The significance of transparency in AI's role and its influence on the decision-making process for merchandisers is brought to the forefront. We also examine the advancements in AI shopping assistants (ASAs) and their profound impact on both the grocery and apparel sectors. Discover how these ASAs create tailored experiences, such as generating recipes based on specialized diets or providing contextually relevant fashion suggestions.

Join us for this exploration that blurs the lines between technology, business, and the human touch in marketing.

Show Highlights:

  • The role of AI in personalizing e-commerce shopping experiences by analyzing consumer behaviors for product recommendations.

  • The interplay between human insight and AI in online retail.

  • Advancements in AI shopping assistants for the grocery and fashion industries.

  • The importance of continuous learning in marketing roles.

  • The importance of AB testing and the "proof schedule" process for demonstrating the effectiveness of Constructor's AI solutions before purchase.

Follow and Review:

We’d love for you to follow us if you haven’t yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We’d love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.

Supporting Resources:

***

Episode Credits

If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

  continue reading

92 odcinków

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