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This office collision turns into a sausage party

Gay Hot xXx Pics This office collision turns into a sausage party.

Movio goes beyond the box office to analyze audiences, target them and measure the incremental financial impact of such activities. By accessing, analyzing and acting upon moviegoer data, producers, distributors, exhibitors and those in home entertainment are best-placed to attract audiences and drive returns.

Audience data can assist producers with greenlighting decisions, including assessing potential audience size and the potential impact of casting one actor over another.

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To show the impact of data on these decisions, we've highlighted an example below. Their audiences are largely older, male moviegoers who have been loyal to these actors for decades.

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With this in mind, it was unsurprising that there was an attempt to see whether a younger actor in a similar Mature Action story could break out and generate greater box office, and attract or create a new audience. As we can see when comparing the audience profiles, not only did the movie fail to attract a younger audience, it only attracted the most enthusiastic Mature Action aficionados.

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Data suggests that simply attaching a younger actor - or at least this actor - to an older-skewing genre does not create a new market and can alienate the very audience that made the genre a success in the first place. The traditional way of comping a forthcoming release involves grouping together prior movies with similar content, tone, actors or classifications. However, this approach assumes that an audience only likes one kind of movie or actor.

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Movio uses data science to provide comp lists based on how an audience spends their time and money. If we were to imagine Sausage Party will be released six weeks from now and tickets are yet to go on-sale, we could build a target audience using the traditional approach, looking at other recent R-rated, gross-out comedies such as Neighbours and The Night Before.

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However, Movio uses data science to provide similar titles based on how audiences spend their time and money. The algorithm assigns a score between based on the strength of that overlap.

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