Jim Keithley

Reporter

Preston's Summary

Jim Keithley is a Reporter at WMTW. With a focus on construction and real estate, health and wellness, and family relationships, Jim covers a diverse range of topics, including the construction industry and family planning. He has been featured in various outlets such as WISN-TV, KCRA 3, and The Portland Press Herald.

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

Geo Focus

Maine, United States (Local)

Coverage Attributes:

Beta
Informative: 72 %
Interviews Q&as: 14 %
Events: 7 %
Data Driven: 2 %
Opinion: 1 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Consumer Health
  • Health News
  • Construction Industry
  • Real Estate Development
  • Residential Real Estate
  • Pregnancy & Childbirth
  • Beverage Production
  • Drinks & Spirits

Pitching Insights

Jim Keithley’s coverage focuses heavily on local news, particularly concerning community support and crime. Given this focus, he would likely be most responsive to pitches that offer human interest stories related to the local area of Maine and Portland. These could include stories about community initiatives, personal accounts related to evolving local events or issues such as housing challenges or support for those facing adversity.

Given his coverage attributes and themes covered, Jim may also be interested in receiving pitches that involve family-related topics with a particular emphasis on how communities come together in times of need.

Pitches should be tailored specifically to reflect the local nature of Jim's reporting, focusing on aspects directly relevant to the communities within Maine and Portland.

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
Publications
Most recent topics
Not enough data