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accountanalysis icon

accountanalysis

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With accountanalysis you can evaluate Twitter accounts faster. Reasearchers and journalists use it determine how automated and fitting an accounts behaviour is, when it's active, which apps it uses and what URLs it shares.

The User Card shows the basic information of the account you are currently analyzing. How many Tweets the account published, how many accounts they follow and how many follow them. The number of Tweets they favorited and on how many lists they are. Most of these metrics can be directly or indirectly changed by the user. Only the date of creation and ID are fixed.

The Daily Rhythm chart shows at which hours on which weekdays an account is most active. The darker the blue, the more tweets were published at that time. You can click on each individual hour or select all hours of a weekday or the same hour each weekday by clicking on the respective label. Or any combination. The times are shown in your local time zone (of your computer). Watch out for weird patterns. Most people need to sleep, bots don't. Some people work nightshifts or post irregularly.

License model

  • FreemiumProprietary

Country of Origin

  • AT flagAustria
  • European Union flagEU

Platforms

  • Online
  • Software as a Service (SaaS)
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Features

Suggest and vote on features
  1.  Charts
  2.  Bot detection
  3.  Social Media Analytics
  4.  Hashtags

accountanalysis News & Activities

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accountanalysis information

  • Developed by

    AT flagLuca Hammer
  • Licensing

    Proprietary and Freemium product.
  • Pricing

    Subscription that costs up to $15 per month + free version with limited functionality.
  • Alternatives

    9 alternatives listed
  • Supported Languages

    • English

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accountanalysis was added to AlternativeTo by lucahammer on Dec 17, 2020 and this page was last updated Dec 22, 2020.
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What is accountanalysis?

accountanalysis is a tool to evaluate social media accounts. Currently, it allows users to analyze Twitter profiles. It is used by journalists, academics, marketers and other individuals to quickly get an overview how a social media account is used and to drill deep into the data through cross-filtering.

Users can inspect various aspects of the account. For example, when and what type of content they publish, what accounts they interact with, and what websites they share. It works without any machine learning or AI magic. Instead, it presents the data in a way that enables people to interpret it. As a result, everything is understandable and reproducible.

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