One of the challenges in selecting new technologies , such as accelerated file transfer, for video workflows is balancing current needs while anticipating how emerging trends will evolve. A sports analogy from “The Great One” is going to where the puck will be, not where it is. In this white paper, we make a case for applying operational sciences to media workflows as a way to ensure a media company is ready for how the majority of their of users are engaging with them today and, more importantly, in the near future.
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In the early 1900s, a news scoop would last days until the next edition of the paper was printed. Media companies benefited from circulation numbers that were built by adding
the number of times people would potentially share their copy of the paper when done reading it. Fast-forward to today and progressive media companies are concerned
with every second it takes to publish assets. They also require social sharing to garner enough impressions to fuel their advertising machines.
In the digital age, time to publish and time to air are critical measurements. Social sharing of certain types of short-form, ad-supported content now generates 80% of audience discovery. This means that the first media asset published and shared picks up exponential distribution compared with the second asset and so on.
A single share from one consumer leads to five friends sharing with five additional friends. As this sharing takes place, data science platforms like Google and Facebook weight the velocity of shares and surface the content to the top of other discovery platforms,
such as search engines. A simple designer dress or a grumpy cat can generate millions or even billions of impressions for publishers in just a few short hours.
smaller window to monetize. Every second of the trend cycle equates to real revenue.
