Ed Zagorski

Ed Zagorski

Preston's Summary

Ed Zagorski is a local journalist based in Watertown. He writes for Page 17, Inc., covering a range of topics including local news, community events, and human interest stories. His work has also been featured in the Daily Union and The Star newspaper in Sun Prairie, WI.

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

Geo Focus

Watertown, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 24 %
Opinion Editorial: 16 %
Government Announcement: 12 %
Evolving Stories: 11 %
Breaking News: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Construction Industry
  • Civil Rights
  • Current Affairs
  • Social Interest
  • Women's Interest

Pitching Insights

Ed Zagorski's coverage seems to have a strong focus on local news, particularly crime, community events, and government announcements in Watertown. He often covers seasonal topics such as weather updates and also focuses on press releases and event coverage.

To effectively reach out to Ed, consider offering insights or interviews related to local crime trends, community events or initiatives within Watertown, updates from local government officials or departments, as well as information about seasonal changes impacting the area. Additionally, providing relevant data or expert commentary specific to these local themes would likely capture his interest.

Given his frequent coverage of governmental announcements and events in the region surrounding Watertown through Voice of the People segments makes it clear that he is deeply interested in engaging with members of this particular community.

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