Shamaya Sutton

Preston's Summary

Shamaya Sutton is a journalist based in Marysville, California. She writes for the Appeal-Democrat and Yahoo News, covering local news and events in the Yuba-Sutter area. With a focus on community theater, education, and cultural events, Shamaya aims to provide engaging and informative articles for her readers.

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

Geo Focus

Yuba City, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 37 %
Seasonal: 15 %
Press Release: 12 %
Opinion Editorial: 11 %
Private Sector Announcements: 6 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Yuba City
  • Farming
  • Community Events
  • Arts and Culture
  • Local Businesses
  • Education and Literacy

Pitching Insights

Shamaya Sutton predominantly covers local events and community news, with a focus on entertainment, culture & society, and house & home. Given this orientation, she would likely be interested in receiving pitches related to upcoming community events (e.g., performances, festivals), human interest stories about local figures or organizations making an impact in the area, as well as features on unique aspects of Marysville's cultural scene.

As her coverage attributes indicate a significant emphasis on event coverage and seasonal topics, consider tailoring your pitch to align with ongoing or upcoming local events. Additionally, given the prevalence of opinion editorials in her work, she may be open to thoughtful insights from experts that can provide valuable commentary on relevant socio-cultural issues within the Marysville community.

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

Journalists With Similar Coverage:

Based on similarity of content.
Chris Murphy
Freelance Editor: Article Rewriting & Content Updates
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data