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    IMDb Meters Timeseries: Historical Popularity Rankings for Titles

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    Sold by: IMDb 
    Deployed on AWS
    Historical weekly rankings of the most popular movies and TV shows from 1998 until present day, derived from the interactions of the global IMDb audience of over 250 million monthly visitors.

    Overview

    This timeseries datasets provide access to historical popularity rankings of more than 150,000 movies and TV shows. The rankings, known as IMDb Meters, are derived from the interactions of the IMDb audience of over 250 million monthly visitors. As this audience is composed of passionate fans and entertainment industry professionals worldwide, IMDb Meters offer a unique reflection of the most popular, relevant, and trending content.

    The datasets includes weekly snapshots of the top 5,000 movies and TV shows on IMDb, stretching back as far as 1998 until present day. Subscribers of the datasets can track the popularity/relevancy of a title over time to extract insights and model performance against key historical events.

    Each of the included titles has or is currently ranked within the top 5,000 TITLEmeter, MOVIEmeter, or TVmeter chart as far back as 1998 (TITLEmeter) or 2015 (MOVIEmeter and TVmeter).

    Included Datasets:

    • Full Historical Rankings:
      • TITLEmeter Timeseries: Historical rankings of all movies and TV shows that have reached a top 5,000 rank since 1998
      • MOVIEmeter Timeseries: Historical rankings of movies that have reached a top 5,000 rank since 2015
      • TVmeter Timeseries: Historical rankings of TV shows that have reached a top 5,000 rank since 2015
    • Current Weekly Snapshot:
      • TITLEmeter Current: Top 5,000 most popular movies and TV shows of the current week
      • MOVIEmeter Current: Top 5,000 most popular movies of the current week
      • TVmeter Current: Top 5,000 most popular TV shows of the current week

    Every title is identifiable by its unique IMDb ID. By joining the IMDb ID with the IMDb Essential Metadata or IMDb and Box Office Mojo datasets, licensees can leverage IMDb Meters Timeseries to power advanced business intelligence use cases, including:

    • Correlating key historical events to changes in popularity on IMDb, e.g.: wide releases, festival screenings, and re-release dates; hiring and casting announcements; social and advertising campaigns; trailer drops and other marketing activity.
    • Extracting unique trends and insights of title performance and audience relevancy over time to power data-driven decision-making, e.g.: release/marketing strategy; content greenlight/acquisition strategy, and; advanced content recommendations and discovery features.
    • Building brand trust by leveraging insights from IMDb, the world's most authoritative source for information on movies, TV shows, and celebrities.

    This product is sold exclusively as an add-on to one of the IMDb core data packages (Essential Metadata or IMDb and Box Office Mojo). The final licensing fee is subject to variables including the specific use case and length of term.

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    Pricing

    IMDb Meters Timeseries: Historical Popularity Rankings for Titles

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Product Access
    Dimension that grants access to the product for subscribers.
    $250,000.00

    AI Insights

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    Dimensions summary

    This listing uses a single contract-based dimension called Product Access (Units). You subscribe to one option that grants access to the historical popularity ranking data for the term of your agreement. Pricing does not scale across tiers or instance sizes. Instead, you pay for product access under one flat structure. This dataset is offered as an add-on to existing IMDb core data packages and is delivered through AWS Data Exchange. For evaluation access before subscribing, you contact the vendor directly.

    Top-of-mind questions for buyers

    You get access to the IMDb Meters Timeseries bulk datasets. These include TITLEmeter Timeseries, with ranking histories for 150,000+ titles, and STARmeter Timeseries, covering 40,000+ entertainment professionals. Weekly snapshots of both rankings are also included to support quick lookups. Access lasts for your contract term.
    TITLEmeter ranking histories reach back to 1998. MOVIEmeter and TVmeter histories reach back to 2015. STARmeter histories for entertainment professionals reach back to 1998. Each included title or name has ranked, or currently ranks, within the top 5,000 of its respective chart.
    Yes. This dataset is offered as an add-on to existing IMDb core data packages. You access it through AWS Data Exchange. It supplements ranking history onto the core metadata you already license rather than serving as a standalone product.
    developer.imdb.com
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    Legal

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    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (4)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    IMDb Meters Timeseries Documentation
    Last 1 revisions
    All future revisions
    Not included
    Not included
    IMDb TVmeter Full Historical Rankings
    Last 1 revisions
    All future revisions
    Not included
    Not included
    IMDb MOVIEmeter Full Historical Rankings
    Last 1 revisions
    All future revisions
    Not included
    Not included
    IMDb TITLEmeter Full Historical Rankings
    Last 1 revisions
    All future revisions
    Not included
    Not included

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