Unpacking Interest Graph Algorithms and Practical Strategies to Navigate Relevance

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Manage episode 424194624 series 3570190
Content provided by Danny Murawinski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Danny Murawinski 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.

Summary

In this episode, the host discusses the emotional core of relevance in digital content. He explains the concept of interest graph algorithms and how they have changed the way social media platforms show content. He also explores the human emotional responses and triggers that make content relevant, such as personal connection, value alignment, needs fulfillment, aspirational resonance, and contextual sensitivity. The host provides three practical strategies to increase relevance in digital content: competitive posting on social media, value-forward blog content for search engine optimization, and the empathetic method for pay-per-click ads.

Takeaways

  • Interest graph algorithms have changed the way social media platforms show content, focusing on relevance rather than follower base.
  • Human emotional responses and triggers, such as personal connection, value alignment, needs fulfillment, aspirational resonance, and contextual sensitivity, make content relevant.
  • Three practical strategies to increase relevance in digital content are competitive posting on social media, value-forward blog content for search engine optimization, and the empathetic method for pay-per-click ads.

Chapters

00:00 Understanding the Emotional Core of Relevance in Digital Content
01:56 The Impact of Interest Graph Algorithms on Social Media
05:39 Human Emotional Responses and Triggers for Relevance
12:20 Practical Strategies for Increasing Relevance in Digital Content

  continue reading

10 episodes

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Manage episode 424194624 series 3570190
Content provided by Danny Murawinski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Danny Murawinski 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.

Summary

In this episode, the host discusses the emotional core of relevance in digital content. He explains the concept of interest graph algorithms and how they have changed the way social media platforms show content. He also explores the human emotional responses and triggers that make content relevant, such as personal connection, value alignment, needs fulfillment, aspirational resonance, and contextual sensitivity. The host provides three practical strategies to increase relevance in digital content: competitive posting on social media, value-forward blog content for search engine optimization, and the empathetic method for pay-per-click ads.

Takeaways

  • Interest graph algorithms have changed the way social media platforms show content, focusing on relevance rather than follower base.
  • Human emotional responses and triggers, such as personal connection, value alignment, needs fulfillment, aspirational resonance, and contextual sensitivity, make content relevant.
  • Three practical strategies to increase relevance in digital content are competitive posting on social media, value-forward blog content for search engine optimization, and the empathetic method for pay-per-click ads.

Chapters

00:00 Understanding the Emotional Core of Relevance in Digital Content
01:56 The Impact of Interest Graph Algorithms on Social Media
05:39 Human Emotional Responses and Triggers for Relevance
12:20 Practical Strategies for Increasing Relevance in Digital Content

  continue reading

10 episodes

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