Since its launch in 2005, YouTube has become more than just a platform for users to upload, share, and watch videos. It’s now the second-largest search engine in the world—and a valuable tool for brands and creators alike.
- YouTube attracts more than 2 billion monthly logged-in users
- Over 1 billion hours of video are watched each day on YouTube
- 500+ hours of content is uploaded to YouTube every minute
- 84% of people have been convinced to buy a product or service by a brand’s video
- A recent survey found that 93% of marketers currently using video consider it “an important part of their marketing strategy”
- More than one-third of consumers have purchased products they discovered on YouTube
How does YouTube decide which videos to recommend to users?
A Brief History of YouTube Algorithm Changes
While YouTube hasn’t released the technical details of the algorithm, here’s a brief overview of how it works:
1. Remove: YouTube prioritizes removing content that violates their policy as swiftly as possible.
2005 to 2012: View Count
Additional ranking signals include:
2012 to 2015: Watch Time
To make the most of YouTube’s SEO algorithm, creators and brands need to optimize metadata. Metadata includes your video’s title, description, and tags.
2016: YouTube introduces “deep learning” for recommendations
2. Engagement metrics (Watch time, likes, comments, etc.)
Recommendation factors include:
1. Keyword relevance based on metadata (Title, description, and keywords)