Peter Goodman

Global Econ Corr

AS SEEN ON

Preston's Summary

Peter Goodman is a Global Economic Correspondent for The New York Times, specializing in covering economic and financial issues. With a background in reporting on Europe and China, Peter brings a wealth of knowledge and expertise to his reporting, examining the impact of global economic trends on local communities. His work has been featured in various publications, including Yahoo News.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Legal Policy Regulation: 30 %
Opinion Editorial: 22 %
Government Announcement: 12 %
Expert Commentary: 12 %
Cites Data: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Elections
  • Government
  • Politics
  • Public Policy
  • Social Interest
  • Racial Issues
  • Civil Rights
  • Diversity & Inclusion

Pitching Insights

Peter Goodman's coverage primarily focuses on local government and politics, with a significant portion dedicated to legal policy regulation. His articles often contain opinion editorials related to historical events and social issues. Therefore, pitches targeting him should provide insightful perspectives on local government policies or legal regulations in Las Cruces, New Mexico. Additionally, offering well-researched opinions or analysis pieces on historical events and social issues would likely capture his attention.

Given that he writes for a local audience in Las Cruces, New Mexico, sources knowledgeable about the specific dynamics of this area's political landscape may find success when pitching ideas related to local elections, police oversight, affordable housing initiatives, homelessness support programs among others within the locality.

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