LinkedIn Ads Radio podcast

LinkedIn Ads Office Hours: Holiday Q&A

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✨ In this special Holiday Q&A episode, Anthony Blatner breaks down what really happens to LinkedIn ads performance during December and how marketers should think about Q1 success before the new year even starts. From holiday season benchmarks and budget pacing to awareness measurement, attribution challenges, and creative fatigue, this episode provides expert-level clarity for B2B marketers responsible for driving pipeline growth, establishing brand authority, and enhancing executive visibility.


Whether you’re deciding how hard to push in December or planning a stronger Q1, this episode will help you make smarter, data-backed decisions on LinkedIn ads.


📝Special Episode Links:




🔑 Key Takeaways:

  • What actually happens to CPMs, CPLs, and conversions during the holidays—and why December performance isn’t “broken.”
  • How to keep campaigns active while warming audiences for a high-performing Q1
  • The real impact of awareness budgets and how to measure brand influence beyond UTMs
  • Why self-reported attribution is critical for understanding the dark funnel
  • How to talk to CMOs about fixing attribution and data tracking without losing buy-in
  • Smart budget allocation between cold, warm, and retargeting audiences
  • When to refresh creatives, monitor ad fatigue, and introduce new offers
  • How (and when) predictive audiences actually work on LinkedIn



🕒 Timestamps:

0:00 – Welcome to LinkedIn Ads Radio + Holiday Q&A

1:15 – The state of LinkedIn ads in December

2:39 – Holiday performance trends: CPMs, CPLs, and conversions

4:47 – Measuring awareness and brand impact in the dark funnel

6:47 – Self-reported attribution and LinkedIn attribution report

9:21 – Convincing CMOs to prioritize data and attribution fixes

12:40 – What to do when LinkedIn ads slow down in December

14:47 – Front-loading budgets and adjusting spend during the holidays

16:26 – Balancing brand and performance campaigns in competitive markets

20:50 – Creative fatigue, frequency benchmarks, and refresh timelines

22:33 – Predictive audiences: when they help and when they hurt

24:18 – Thought leadership and 2026 planning content strategies



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🔗 More About Us:

🌐 Website: https://t2m.io/LAR-Website

💼 LinkedIn: https://t2m.io/LAR-LinkedIn



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