South KoreaTravel and aviation2026 – ongoingGC Company
Machine-learning optimization of YouTube advertising
Google reported 31% more brand-search queries for Yeogi Eottae's YouTube campaign
Problem
Yeogi Eottae wanted its summer advertising to produce brand searches as well as broad exposure in a competitive travel market.
Approach
The travel platform combined YouTube placements with AI-powered Video Reach and Video View campaigns. Machine learning adjusted delivery across 4 audience segments rather than relying on separately allocated segment budgets. The wider campaign also used celebrity creative and premium placements.
Results
Takeaway
The search increase covered the combined campaign. Google did not isolate the contribution of machine-learning delivery from creative content or other placements.
Categories
- Industry
- Travel and aviation
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Google described Yeogi Eottae's use of machine-learning campaign optimization alongside other YouTube advertising formats. It reported a 31% increase in brand-search queries for the overall campaign.
Full details are in the original sources.
