Application of data analytics in Film Industry

1. LIGHTS, CAMERA,
DATA ANALYTICS
Application of data analytics in film industry

2. There are countless factors at play in filmmaking, from
determining production costs to developing targeted marketing
campaigns. Data science is involved in practically every step of
the process.
Through the use of big data analytics, computers can identify
patters regarding the taste and behavior of consumers.

3. Improving Ad performance
The movie industry must keep up with a forever evolving environment. Consequently, there is a
need to develop different strategies to increase the return on productions.
In order to do this, the movie industry needs to understand the different tastes of their audiences
as much as possible. This way they can come up with successful marketing strategies.
Data science can solve the problems regarding advertisements in the film industry. Predictive
analysis can be performed for every component of advertisement activity.

4. Screenplay text analysis
This type of analysis is used to improve the standard of the films.
A PDF file with a script is loaded into the system, and after five minutes it gives a detailed
report. The machine predicts the age rating, analyzes the characters, indicates the protagonists
and antagonists, estimates the emotionality of each character, predicts the audience of the project
— including gender and race, and also assesses the possible box office.

5. Movie promotion and distribution
By using data analytics platforms to advance test trailers and promos, studios learn more about
market reception and can adapt accordingly or gain validation on chance decisions.
Data analytics can help marketers tailor campaigns based on geographic data; there is even
research based on the Facebook page a given film gets in a location and its chances of selling out
at a nearby movie theater.
Marketers can also use social listening to optimize release date based on geography, subject
matter, or topic.

6. Personalized viewing recommendations
Well-known and successful companies like Amazon, Hulu, and Netflix uses data analytics. All
these platforms analyze patterns in data to determine the types of content they create and make
personalized viewing recommendations.
To keep viewers engaged, Netflix developed and continues to improve upon its adaptive
streaming algorithms to optimize streaming quality and create a personalized user experience if a
viewer is watching a series, the next episode will be partially cached.

7. Development departments
Data analytics can help development departments determine:
◦ How topically relevant a story is right now, where geographically it is projected to be most
well-received, and if there is a cyclical nature to the topic.
◦ How to replace clichés in a script with more nuanced ideas.
◦ How to find the right stories for specific audiences and how to best reach them (also useful to
the marketing department).
◦ What audiences are looking for by analyzing viewing histories, searches, clicks, engagement,
and more.

8. Conclusion
From determining production costs to developing targeted marketing campaigns, Data scientists
can solve big puzzles that may seem impossible to solve. Data science can be involved in
practically every step of the process, and so take into account even the smallest details that very
often tend to be determining factors for the final result.
Final Word: More Data Science, More Great Movies.