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Goodbye Lookalikes, Hello Predictive Audiences powered by AI

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Manage episode 421150811 series 3483711
Contenuto fornito da Anthony Blatner, Popcast Studio, Anthony Blatner, and Popcast Studio. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Anthony Blatner, Popcast Studio, Anthony Blatner, and Popcast Studio 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.

โœจ Dive into our latest exploration, where we uncover LinkedIn's shift from Lookalike Audiences to Predictive Audiences. From insightful details of this new feature to best practices, this podcast episode is your go-to source for expanding your campaign's reach with the new AI-powered audience targeting tool.

๐Ÿ“Special Episode Links:


๐Ÿ”‘ Key Takeaways:

  • LinkedIn is replacing Lookalike Audiences with AI-driven, dynamically updated Predictive Audiences.
  • Predictive audiences can be created from lead gen form submissions, contact lists, or conversion events.
  • Using Predictive Audiences enables precise targeting by adapting to user behavior and market changes in real time.

๐Ÿ•’ Timestamps:

0:24 - LinkedIn's transition from lookalike audiences to predictive audiences

0:53 - New updates: Conversions API (CAPI)

2:47 - Difference between predictive audience and lookalike audiences

3:28 - Challenges of lookalikes on LinkedIn's B2B marketing

5:44 - Three options to create a predictive audience: Lead gen form submission, Contact list, Conversion

7:09 - Creating Predictive Audiences: Options and Recommendations

10:16 - Two use cases to reach ICP (Ideal Customer Profile) successfully

13:25 - Scenarios where predictive audiences may not be suitable

14:34 - Recap of predictive audience features and upcoming episodes

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

๐Ÿ”— More About Us:

๐ŸŒ Website: https://t2m.io/LAR-Website

๐Ÿ’ผ Linkedin: https://t2m.io/LAR-LinkedIn

For more engaging content, make sure to like, share, and subscribe!

  continue reading

27 episodi

Artwork
iconCondividi
 
Manage episode 421150811 series 3483711
Contenuto fornito da Anthony Blatner, Popcast Studio, Anthony Blatner, and Popcast Studio. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Anthony Blatner, Popcast Studio, Anthony Blatner, and Popcast Studio 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.

โœจ Dive into our latest exploration, where we uncover LinkedIn's shift from Lookalike Audiences to Predictive Audiences. From insightful details of this new feature to best practices, this podcast episode is your go-to source for expanding your campaign's reach with the new AI-powered audience targeting tool.

๐Ÿ“Special Episode Links:


๐Ÿ”‘ Key Takeaways:

  • LinkedIn is replacing Lookalike Audiences with AI-driven, dynamically updated Predictive Audiences.
  • Predictive audiences can be created from lead gen form submissions, contact lists, or conversion events.
  • Using Predictive Audiences enables precise targeting by adapting to user behavior and market changes in real time.

๐Ÿ•’ Timestamps:

0:24 - LinkedIn's transition from lookalike audiences to predictive audiences

0:53 - New updates: Conversions API (CAPI)

2:47 - Difference between predictive audience and lookalike audiences

3:28 - Challenges of lookalikes on LinkedIn's B2B marketing

5:44 - Three options to create a predictive audience: Lead gen form submission, Contact list, Conversion

7:09 - Creating Predictive Audiences: Options and Recommendations

10:16 - Two use cases to reach ICP (Ideal Customer Profile) successfully

13:25 - Scenarios where predictive audiences may not be suitable

14:34 - Recap of predictive audience features and upcoming episodes

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

๐Ÿ”— More About Us:

๐ŸŒ Website: https://t2m.io/LAR-Website

๐Ÿ’ผ Linkedin: https://t2m.io/LAR-LinkedIn

For more engaging content, make sure to like, share, and subscribe!

  continue reading

27 episodi

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