Riley Presnell
AS SEEN ON

Preston's Summary

Riley Presnell is a journalist for Collider, specializing in entertainment and pop culture. With a keen interest in horror movies and television shows, Riley's articles often delve into the behind-the-scenes details, true stories behind the fiction, and analysis of beloved films and series.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Seasonal: 32 %
Industry Specific: 16 %
Investment Analysis: 12 %
Expert Commentary: 6 %
Review: 6 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Film Industry
  • Filmmaking
  • Filmmaking Equipment

Pitching Insights

Riley's coverage primarily revolves around entertainment news, particularly focusing on horror movies, TV shows, and true stories. She also covers gaming to a significant extent.

Given the nature of her articles which delve into the details behind movies and TV shows, Riley might be interested in pitches that offer unique insights or behind-the-scenes information about horror franchises, reality shows, or popular entertainment content. Pitches could focus on exclusive interviews with actors or creators involved in these productions.

For the gaming-related topics covered by Riley, she may be open to expert commentary on industry-specific developments and investment analysis within the gaming sector. If you have expertise in these areas, it might be worth reaching out with relevant insights for potential collaboration.

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

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Alison Foreman
Writer, Editor
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data