Caitlin Tan

Inside Appalachia Co-Host

Preston's Summary

Caitlin Tan is a Co-Host at Inside Appalachia. She focuses on themes such as agriculture, energy, and regional interests, with a particular emphasis on topics like oil & gas, wildlife, and environmental, social, and governance (ESG) issues. Caitlin's work has been featured in various outlets including KGOU Public Radio, NPR, and West Virginia Public Broadcasting.

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

Geo Focus

Kemmerer, United States (Local)

Coverage Attributes:

Beta
Government Announcement: 34 %
Legal Policy Regulation: 18 %
Cites Data: 9 %
Event Coverage: 9 %
Evolving Stories: 9 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Energy Policy & Regulation
  • Environmental Services
  • Ranching
  • Real Estate Development
  • Natural Resources
  • Farm Management

Pitching Insights

Caitlin Tan's articles primarily focus on local Wyoming issues, with an emphasis on environment, energy, and wildlife. She seems to be particularly interested in government announcements and data-driven stories related to these topics. Therefore, she may be more responsive to pitches that provide unique insights into local environmental initiatives or scientific research impacting Wyoming.

If you have expertise in areas such as conservation efforts specific to the region, the impact of climate change on local wildlife or energy developments within Wyoming, your pitch is likely to resonate with Caitlin. Additionally, if you can offer exclusive data or analysis relevant to her coverage themes and localized within Wyoming it would likely capture her interest.

Given Caitlin's focus on local matters within Wyoming, consider tailoring any outreach accordingly by highlighting how your story connects directly to the state’s concerns around environment and energy.

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