BL x Premier Allergy _ Campaign Review and Spring Planning - 2025_01_27 10_59 EST – Recording
Chapter 1: Introduction
Viewable Impression Rate:
Important metric showing strong optimization success.
Achieved low Cost Per Viewable Impression (CPV) around 3¢ compared to a typical 10¢.
CPM (Cost Per Thousand Impressions):
High CPM noted, nearing the upper limit (around $20) typical for YouTube.
High CPM indicates payment for high viewability of ad contents.
Important consideration for future campaigns regarding reach versus viewability.
Campaign PAA September 2:
Focused on families, pet lovers, and luxury travelers.
Multiple video lengths used.
Click-Through Rate (CTR) was a bit low at 0.04%, but acceptable given the CPM optimization goal.
View-Through Rate (VTR) above average.
Suggestions for Future Campaigns:
Consider developing bumper ads (6-second spots) to enhance VTR.
Chapter 2: YouTube TV
Cost Per Viewable Impression:
Even lower for the YouTube TV campaign, indicating effective cost management.
Test Campaign Analysis:
Aimed for a lofty 75% VTR. Accommodation of various video types and detailed targeting used.
A benchmark for CTR should aim from 0.3% to 0.4%, currently underperforming.
Performance may be hampered by initial algorithm learning stages and not using high-quality inventory.
General Findings:
Emphasis on the importance of inventory quality on ad performance.
Chapter 3: Connected TV App
Campaign Performance Insights:
Connected TV as the top performer due to high-quality inventory usage.
Lesser results were observed on desktop and tablet, with low performance from these device types.
Device Performance Comparison:
Detailed understanding of how each device type impacted performance.
Future Recommendations:
Consider splitting video lengths by ad groups for improved analysis and optimization.
Chapter 4: Cap The Frequency
General Insights:
PG deals significantly contributed to success, yielding lower CPMs.
Campaign Management:
Overlapping insertion orders can create competitive bidding, raising overall CPMs.
Suggestion to group all related I/Os under one campaign to better control frequency and avoid competition.
Chapter 5: Specific Insertion Order
Frequency Capping Strategies:
Capping at the campaign level provides less granular control than line-item capping.
Audience Targeting:
Importance of keeping affinity and in-market audiences separated for better measurement and insight generation.
Chapter 6: Conclusion
Geographic Insights:
Valuable for targeting budget allocation towards responsive regions.
Potential separate I/Os by region for budget optimization.
Future Planning:
Suggestions for exploring reach campaigns with lower CPMs targeting generally underserved markets.
Project Timeline:
Target to reconvene around mid-March for follow-up.
Offer of assistance in report preparation and campaign adjustment as needed.