Kiah Radcliffe

Reporter

Preston's Summary

Kiah Radcliffe is a reporter based in Palmerston North, New Zealand. She has a focus on local news and has written for publications such as Stuff, Sydney Hot News, and The Press. Kiah covers a range of topics including fires, accidents, missing persons, and other local events.

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

Geo Focus

New Zealand (National)

Coverage Attributes:

Beta
Breaking News: 42 %
Evolving Stories: 41 %
Event Coverage: 6 %
Government Announcement: 3 %
Press Release: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Cars
  • Trucks & Lorries
  • Disaster & Emergency Response
  • Plays & Musicals

Pitching Insights

Kiah Radcliffe's coverage primarily focuses on evolving stories and breaking news related to crime, fire incidents, and emergency response in the local area of Palmerston North, New Zealand. She seems particularly interested in covering events such as fires, accidents, and police-related matters.

Given Kiah's focus on local crime and accident reporting, she may be receptive to pitches from local emergency response organizations or community leaders who can provide insights into developing situations or offer perspectives on safety measures.

As Kiah also covers evolving stories related to entertainment news alongside her primary focus on crime and emergency response topics, she might consider content related to regional events or happenings that hold significance for the community within her geographic focus.

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