Eva Raggio

Freelance Writer

AS SEEN ON

Preston's Summary

Eva Raggio is a freelance writer with a focus on culture and society, exploring themes such as animals, travel and tourism, and the arts. Her work often delves into topics like music, Texas, and the holiday season, particularly in the context of Dallas. Eva's writing has been featured in the Dallas Observer.

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

Geo Focus

Dallas, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 50 %
Seasonal: 11 %
Press Release: 7 %
Review: 7 %
Government Announcement: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Pop Culture
  • Internet Culture
  • Store Management

Pitching Insights

Eva Raggio's coverage predominantly focuses on local entertainment news, events, music, and celebrities in Dallas. She is likely to be interested in pitches related to upcoming events, local artist spotlights, exclusive interviews with musicians or celebrities visiting the area, and unique cultural phenomena relevant to the Dallas entertainment scene.

Given her interest in event coverage and seasonal topics like Halloween costumes going viral, consider pitching timely stories that align with upcoming local events or trends. Additionally, offering access to exclusive local artists or insights into noteworthy developments within the Dallas entertainment industry may also capture Eva's attention.

As she concentrates on the Dallas area specifically for her reporting, it’s important for any outreach to keep this geographic focus in mind when proposing story ideas or potential sources.

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
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data