Online advertising is a constant process of experimentation, a difficult path of constant trial and error. Last year's promotional tools may turn out to be ineffective. What worked last year may not work this year. So what do you do? Try, test, analyse the results. And then scale up and use the tools that got results - leads, orders and sales.
The world lives online. Online we search for information, choose products, buy and sell, socialise, entertain and relax. YouTube has become an integral part of this global online landscape. Users are changing their 'search behaviour', but they are still doing what they are used to doing. For example, watching videos, commercials, movies, video reviews, streams.
YouTube algorithmOf course, the secrets of YouTube's algorithm can be discussed at length, unravelled and guessed at using open data, our own experience and the guesses of experts and users. YouTube's algorithm manages different search modes.
Users are most often presented with personalised videos based on their preferences and viewing history, or in response to search queries. YouTube analyses session time, viewing time, viewer retention, engagement, clickability.
The algorithm analyses the data:
- what the user watches/doesn't watch
- what they search for/what they ignore
- likes / dislikes
- related videos / similar characters
- recently uploaded/removed from view
The more views a video has, the higher it ranks. The more time a user spends on the YouTube platform, the more money the system makes.
YouTube's trending algorithm takes this into account:
- number of views
- how fast a video gains views
- what platforms other than YouTube the video is being watched on
- how long ago the video was uploaded to YouTube