1. Curate a List of Industry Leaders
Initially, a comprehensive list of 600 industry leaders across 17 different industries was curated. This selection provided a wide range of examples and served as a robust foundation for the database.
2. Extract Videos
The next step involved extracting the most popular and recent videos from various YouTube channels of these industry leaders. This ensured that the data was up-to-date and reflective of current trends.
3. Data Cleaning
To enhance analysis integrity, we performed data cleaning by removing duplicate videos and non-ad content such as CSR efforts, employee interviews, and product demos. This process eliminated redundancies and noise, enabling more accurate comparisons.
4. Curation of Top-Performing Ads
The final step was to curate a list of top-performing ads, identified through a meticulous analysis of metrics like the like-to-view-to-comment ratio. This fine-tuned approach ensured the selection of truly high-performing ads, reinforcing the credibility of the benchmarking tool.