Cassia Catterall

News Record Writer

Preston's Summary

Cassia Catterall is a News Record Writer at Gillette News Record. She covers a range of topics including academia, holidays, and local culture in Wyoming, with a particular focus on celebrations like Christmas and Halloween. Cassia's work has been featured in The Sheridan Press, Wyoming Business Report, and Casper Star-Tribune.

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

Geo Focus

Gillette, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 43 %
Press Release: 18 %
Seasonal: 11 %
Government Announcement: 10 %
Private Sector Announcements: 6 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Community Events
  • Education
  • Family
  • Local Authors
  • Graduation

Pitching Insights

Cassia Catterall's articles predominantly cover local events, community news, and education in the Gillette area of Wyoming. The coverage attributes show a focus on event coverage, press releases, seasonal topics like house & home as well as government announcements.

For outreach to Cassia, consider providing information about upcoming local events or human interest stories related to the Gillette area. Topics such as education initiatives or community-focused projects would likely be of interest based on her previous coverage. Additionally, pitches regarding arts and crafts activities within the community could also be appealing to her.

Given that she focuses primarily on local news and events in Wyoming's Gillette area with mentions of personal finance themes occasionally appearing in her articles, it might be beneficial for sources to tie into these specific regional interests when reaching out to her.

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