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LinkedIn Ads Audience Penetration - Ep 149
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Here were the resources we covered in the episode:
Contact us at Podcast@B2Linked.com with any questions, suggestions, corrections!
A great no-cost way to support us: Rate/Review!
Show Notes: Episode Summary:In this episode of the LinkedIn Ads Show, host AJ Wilcox explores the newly introduced Audience Penetration Metric in LinkedIn Ads. He shares insightful hacks on how to use this metric to better understand campaign reach, calculate audience sizes, and even estimate audience overlap—helping you optimize your LinkedIn Ads strategy and drive greater impact.
Key Discussion Points:What is the Audience Penetration Metric?
- AJ introduces the Audience Penetration metric, explaining how it measures the percentage of your target audience that has been exposed to your ads. This provides a clearer view of how well your ads are reaching the intended audience.
Hack #1: Calculating Total Audience Size:
- Learn how to reverse-engineer LinkedIn’s estimated audience size using the audience penetration metric and reach data. This allows you to get a more precise measurement of your audience size beyond LinkedIn’s rough estimates.
Hack #2: Understanding Bid Effects on Audience Reach:
- Discover how to test the effect of your bid on audience reach by adjusting your bid over time. This helps you determine if increasing your bid results in a proportional increase in audience reach or if it leads to diminishing returns.
Hack #3: Measuring Audience Overlap:
- AJ shares how the Audience Penetration metric can be used to measure overlap between different audiences, giving you a new way to analyze targeting strategies and ensure you're reaching unique audience segments.
Use Cases for Audience Penetration:
- Find out how to leverage this new metric to optimize your budget allocation, improve targeting accuracy, and better understand the engagement of your target audience on LinkedIn.
Potential Limitations:
- AJ highlights some nuances of the Audience Penetration metric, such as differences in calculated and estimated audience sizes, and shares his thoughts on why these discrepancies occur.
- Predictive Audiences Expansion:
- LinkedIn is expanding its predictive audience capabilities to include retargeting lists, conversions, and lead gen form interactions, allowing advertisers to create more sophisticated lookalike audiences.
- Inbound Conference Recap:
- AJ gives a brief recap of his experience at the Inbound Conference, sharing key highlights and announcements about the next year’s event location.
This episode is packed with practical tips and advanced strategies for using the Audience Penetration metric to its fullest potential. This episode will definitely elevate your LinkedIn Ads campaigns with data-driven insights!
Show Transcript:
For the full show transcript, see the show notes page here: Episode 149
137 つのエピソード
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 01, 2024 13:33 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 442319178 series 2892255
Here were the resources we covered in the episode:
Contact us at Podcast@B2Linked.com with any questions, suggestions, corrections!
A great no-cost way to support us: Rate/Review!
Show Notes: Episode Summary:In this episode of the LinkedIn Ads Show, host AJ Wilcox explores the newly introduced Audience Penetration Metric in LinkedIn Ads. He shares insightful hacks on how to use this metric to better understand campaign reach, calculate audience sizes, and even estimate audience overlap—helping you optimize your LinkedIn Ads strategy and drive greater impact.
Key Discussion Points:What is the Audience Penetration Metric?
- AJ introduces the Audience Penetration metric, explaining how it measures the percentage of your target audience that has been exposed to your ads. This provides a clearer view of how well your ads are reaching the intended audience.
Hack #1: Calculating Total Audience Size:
- Learn how to reverse-engineer LinkedIn’s estimated audience size using the audience penetration metric and reach data. This allows you to get a more precise measurement of your audience size beyond LinkedIn’s rough estimates.
Hack #2: Understanding Bid Effects on Audience Reach:
- Discover how to test the effect of your bid on audience reach by adjusting your bid over time. This helps you determine if increasing your bid results in a proportional increase in audience reach or if it leads to diminishing returns.
Hack #3: Measuring Audience Overlap:
- AJ shares how the Audience Penetration metric can be used to measure overlap between different audiences, giving you a new way to analyze targeting strategies and ensure you're reaching unique audience segments.
Use Cases for Audience Penetration:
- Find out how to leverage this new metric to optimize your budget allocation, improve targeting accuracy, and better understand the engagement of your target audience on LinkedIn.
Potential Limitations:
- AJ highlights some nuances of the Audience Penetration metric, such as differences in calculated and estimated audience sizes, and shares his thoughts on why these discrepancies occur.
- Predictive Audiences Expansion:
- LinkedIn is expanding its predictive audience capabilities to include retargeting lists, conversions, and lead gen form interactions, allowing advertisers to create more sophisticated lookalike audiences.
- Inbound Conference Recap:
- AJ gives a brief recap of his experience at the Inbound Conference, sharing key highlights and announcements about the next year’s event location.
This episode is packed with practical tips and advanced strategies for using the Audience Penetration metric to its fullest potential. This episode will definitely elevate your LinkedIn Ads campaigns with data-driven insights!
Show Transcript:
For the full show transcript, see the show notes page here: Episode 149
137 つのエピソード
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