Preston's Summary

Sam Thompson is a local online journalist based in Winnipeg, Canada. With a focus on local news, Sam covers a wide range of topics including crime, education, sports, and community events. His work has been featured in various publications and radio stations, showcasing his dedication to keeping the residents of Winnipeg informed about the latest developments in their city.

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

Geo Focus

Winnipeg, Canada (Local)

Coverage Attributes:

Beta
Evolving Stories: 28 %
Breaking News: 26 %
Government Announcement: 25 %
Press Release: 6 %
Cites Data: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Real Estate Development
  • Housing Market
  • Residential Real Estate
  • Canada
  • Commercial Real Estate
  • Property Management

Pitching Insights

Based on Sam's coverage, he seems to focus on local news in Winnipeg and Manitoba. His articles primarily cover evolving stories, breaking news, government announcements with a strong emphasis on crime-related events.

If you have insights or information related to ongoing incidents, new developments in criminal investigations or public safety measures in the specific context of Winnipeg or Manitoba, your pitches are likely to resonate with Sam.

Additionally, given his coverage of education topics such as state-of-the-art training facilities at Tec Voc school and nursing shortages which seem to be an area of interest for him; relevant educational experts or authorities may find success when reaching out.

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
Glen Dawkins
News/General Assignment Reporter
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data