Siobhan Ball

Contributing Writer

Preston's Summary

Siobhan Ball is a writer whose work has appeared in publications such as The Mary Sue, The Wild Hunt, Inc., and The Daily Dot. With a focus on pop culture and entertainment, Siobhan covers topics ranging from horror movies and goth culture to gaming conventions and unique gift ideas.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Coverage Attributes:

Beta
Opinion Editorial: 11 %
Promotional Deal: 11 %
Seasonal: 11 %
Review: 10 %
Gift Guides: 8 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Pop Culture
  • Subcultures
  • Internet Culture

Pitching Insights

Siobhan's coverage primarily includes articles focused on entertainment news, house & home, and gaming. She covers a wide array of topics including Christmas, gift ideas, horror, pop culture, and fantasy. Given the diverse range of themes covered in her articles, she may be open to pitches that offer unique insights or products related to these areas.

As Siobhan often provides opinion editorials as part of her coverage attributes and focuses on 'Best Gifts' guides for various themes such as horror fans and Doctor Who enthusiasts; she might be interested in receiving expert opinions or recommendations regarding new trends within these fields or exclusive access to unique products fitting into these categories.

Since Siobhan doesn't have a specific geographic focus mentioned but appears to cater to international audiences with broad interests like entertainment and gifting across different cultures worldwide.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data