Daniel Gaitan

General Assignment Reporter/ Copywriter

Preston's Summary

Daniel Gaitan is a General Assignment Reporter and Copywriter based in Kenosha, Wisconsin. He has written for various local publications, including Kenosha News, Lake Geneva Regional News, The Journal Times, and Wisconsin State Journal. Daniel's work focuses on covering local news stories, including city council decisions, mayoral races, and crime reports in the Kenosha area.

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

Geo Focus

Kenosha, United States (Local)

Coverage Attributes:

Beta
Breaking News: 19 %
Government Announcement: 18 %
Event Coverage: 17 %
Evolving Stories: 15 %
Press Release: 9 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Urban Design
  • Commercial Real Estate
  • Real Estate Development
  • Campus Life
  • University Research

Pitching Insights

Given Daniel Gaitan's focus on local news in Kenosha, Wisconsin, he seems to be particularly interested in evolving stories and breaking news related to crime and government announcements. If you are reaching out with a pitch, ensure it aligns with these areas of interest. For example, if there is a developing story or breaking news related to crime or government announcements in Kenosha or the surrounding area, providing accurate information and insight could make your pitch more relevant to his coverage.

As Daniel focuses mainly on local news within Kenosha County and the broader region but presents an emphasis on criminal activities as well as government decisions such as casino proposals and major developments. Therefore, any contact should reflect this geographic scope while offering expertise about ongoing situations concerning crime or governmental proceedings specific to the area.

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