Episode 488: Why YouTube Ads Beats Facebook Ads Every Time with Aleric Heck


In episode of Perpetual Traffic, Ralph and Kasim is joined by Aleric Heck. He shared valuable insights on how businesses can improve their marketing visibility and increase engagement on YouTube. They emphasized the importance of adding pre-roll educational content to establish yourself as an authority in your industry, sending viewers to a cornerstone video to increase engagement, and tracking campaigns with UTM parameters to optimize for better results. Additionally, building trust with your audience by providing valuable content, engaging with them, and being transparent about your business can lead to increased loyalty, conversions, and sales. By implementing these tips, businesses can improve their YouTube marketing and achieve their goals.

In This Episode, You’ll Learn:

  • 00:00:00 – Kasim discusses frustration with TSA agents at Sky Harbor Airport
  • 00:01:12 – Adding spice to ethnic names to help TSA agents familiarize themselves
  • 00:06:20 – Request for insider tips on boosting website traffic
  • 00:09:21 – Niche strategies and successful YouTube ads for small budgets
  • 00:10:45 – Different strategies for running campaigns at different budgets
  • 00:12:02 – Google shifts strategy to audience-based targeting for direct response conversions
  • 00:18:28 – YouTube video causes tracking issues
  • 00:20:59 – The importance of tracking in client work and retargeting strategy
  • 00:22:52 – Tracking and using UTM parameters to analyze YouTube ad performance
  • 00:29:11 – Recommendation for a direct response strategy and optimizing video action campaigns
  • 00:32:18 – Building trust is more important than collecting names and emails
  • 00:33:59 – Overview of a digital advertising campaign
  • 00:37:07 – Maximizing conversions with exclusions in YouTube ads
  • 00:39:11 – The importance of video watching for uncovering hidden intent in marketing
  • 00:44:26 – How to build an audience on YouTube with subscriber, viewer, and like lists

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