The Director of Music Department

Text 1021. Big Data Film Strategy Second Project

Laity Xiaohei

Wang Yifan's words came true, but it made Lin Husheng stop his eagerness to move.

I chose to wait and see for the time being.

It's not because big data is not powerful, but because he understands it.

Big data is indeed useful, but it is not a panacea, and it is not as powerful as Ahri and Future Star advertise.

After all, big data is so powerful, so how can predicting the box office be done?

But the result, obviously, the prediction of big data is a failure.

So the question is, you can’t even predict the market trend, so big data dominates film shooting, is it really OK?

It seems that big data understands the audience better, and it seems a little untenable.

Take a simple example.

A movie of a type that has never appeared before, how can big data predict whether the public will like it or not?

How to judge whether the market can accept it?

Just when the box office of "Kung Fu" officially broke through 3 billion, and the daily box office has also fallen below the 10 million mark, the domestic media, as well as Ari, Future Star, etc., turned their attention overseas.

Naifei, the initiator and pioneer of the big data film strategy.

Their success has made the big data movie strategy popular.

And at this time, Naifei announced the second series dominated by big data film and television strategy, which will be launched soon!

This is the second round of Netflix's big data film and television strategy!

It can be said that not only the country is paying attention, but in fact film and television companies all over the world are paying attention.

So how does big data help film and television creation?

Taking Naifei as an example, what is going on with their big data?

That is, when a user logs in to a Naifei account through a browser, Naifei's background technology will quietly record the user's location data and device data. These memory codes also include actions such as favorites and recommendations to social networks made by users during watching.

In Naifei’s view, actions such as pausing, replaying, fast forwarding, and stopping are all actions. Every day, users will generate more than 30 million actions on Naifei. In addition, Naifei’s subscribers will give 4 million actions every day. Ratings, 3 million search requests asking for episode times and devices.

That's right, these are all converted into codes by Naifei and recorded as elements of content production. And all this data means that Netflix already has an "addressable audience."

In the early years, Netflix used the above data to provide a recommendation engine business. For example, tens of millions of users can rate movies from 1 to 5 on a personalized webpage. These ratings form a huge data pool, and the capacity of this data pool now exceeds nearly 10 billion. According to the data pool, Naifei uses recommendation algorithms to identify audiences with similar tastes, and then makes accurate recommendations for relevant content to this group.

"Naif may not know exactly why an individual clicked the pause button, but if enough people do the same thing in the same place throughout the video, the data starts to make sense." As a result, Nai Fei is more aware of his viewing preferences than the audience.

This is how they transform "data into productivity"-according to official data, 3/4 of subscribers will accept Netflix's movie viewing recommendations. This means that Nai Fei does not need to accumulate word-of-mouth for new dramas episode by episode, but only needs to recommend it to viewers who are tagged as "like XXX" or "like political dramas".

Naifei has observed another popular trend through "big data": more and more people no longer stay in front of the TV at a fixed time at a fixed night as they did 30 years ago, waiting to watch the latest episodes of TV series, but It is to "save" until the whole season's plot is finished, then choose a time period and place that is convenient for you, and watch it at one time on a convenient device, most of which are network devices, such as computers and iPads.

In this regard, in fact, domestic Internet giants can do the same, or even do better.

Don’t look at North America as the birthplace of the Internet, but in fact, today, Huaguo is due to its population, economy, Internet coverage, public habits, etc., plus Internet giants’ influence on a certain industry Therefore, in terms of data, it can be said to be more powerful than Naifei!

Like Ali!

Ali is mainly engaged in e-commerce.

But it's not just e-commerce.

What is big data? It is a user's behavior pattern on each platform and each software under Ahri every day.

From these things, their preferences, preferences, etc. can be analyzed.

Not just limited to movies!

And the future technology is different from Hexing Technology. They think about new media giants, video social, news social, and so on.

They can analyze the user's preferences by analyzing the length of time the user stays watching a certain video, as well as comments, messages, or likes, etc.!

ECCOM also has its own style of big data.

Of course, it seems that everyone has their own main business, but in fact, at this stage, after so many years of development, the giants have already built a huge business empire, which can be said to involve all aspects.

Therefore, in terms of big data, the strength of the Internet giants in Huaguo is really not comparable to that of Netflix.

This is actually why Ahri and Future Star are so confident.

But in any case, Nai Fei is the initiator, and now, the second big data-led film and television drama is about to go online, and whether it can succeed has become the vane of the big data film and television strategy.

If it succeeds, then everyone can naturally add to the big data strategy, but if it fails, the consequences are actually very serious.

Because failure means big data film and television strategy, this idea is currently unworkable.

There is no third situation. Of course, there can be other attempts on the domestic side. It can be said that the domestic Internet giants have a larger amount of big data and involve a wider range.

Therefore, perhaps the effect that can be obtained is better.

But it is undeniable that big data does not allow failure.

Because big data is not people, it is data, and it has no emotions, so there is no such thing as making mistakes.

A director, a movie does not sell well, he may still have the opportunity to continue to prove himself, because people will always make mistakes.

But big data can't, it can't fail, because big data can't make mistakes.

Making a mistake once shows that the technology is immature and the concept is not successful.

At this time, under the attention of everyone, Netflix's new film and television work with big data is freshly released, and it is officially launched on the Netflix platform!

Of course, Wang Yifan knew that similar companies in his previous life had dominated the big data film and television strategy, but they only succeeded in the first one, and the second one went straight to the street.

And that also declared the failure of the big data strategy, and few people mentioned the big data movie strategy after that.

But this world is different after all, so he is also very curious about whether Naifei's second part will be successful!

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