Danielle Wagner

Preston's Summary

Danielle Wagner is a journalist based in Eau Claire, Wisconsin. She writes for WEAU 13 News and KCRG-TV9, covering local news and human interest stories. Danielle's work has also been featured in KYOU, Ynet News, and The Sunflower.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Government Announcement: 18 %
Press Release: 15 %
Announcement: 12 %
Event Coverage: 12 %
Seasonal: 6 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Pets
  • Animal Rescue & Rehabilitation
  • Veterinary
  • Home Care & Assisted Living
  • Senior Living

Pitching Insights

Danielle Wagner’s journalistic coverage predominantly focuses on local community-related topics, with a significant emphasis on pets and animal welfare. Therefore, she would likely be receptive to pitches related to stories about local pet initiatives, animal shelters, or heartwarming tales of animals in the community.

Given her focus on exclusive content and announcements within the local government and community events space, consider tailoring your pitch to offer unique access or insights into these areas. For example, you might propose an interview with a key figure in a local government initiative related to pets or animal welfare.

Keep in mind that Danielle's geographic focus is primarily around Eau Claire and Wisconsin; therefore, any pitches should be relevant to this specific area for maximum impact.

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

Journalists With Similar Coverage:

Based on similarity of content.
Veronica Ortega
Weekend Morning Anchor/Reporter
Most recent topics
Not enough data
Emily Schrad
Morning News Anchor and Reporter
Publications
Most recent topics
Not enough data
Ethan Lo
Sales Support Specialist
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data