Eric Mayer

Digital reporter

Preston's Summary

Eric Mayer is a digital reporter at various media outlets, including The Union and Kx News Tips. He covers a wide range of topics with a focus on general assignment news, government and politics, crime and justice, and sports, particularly hockey and football, while also delving into regional interests and world news. Eric's work has been featured in prominent platforms such as WTEN-TV, KELOLAND Media Group, and NewsNation.

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

Geo Focus

Sioux Falls, United States (Local)

Coverage Attributes:

Beta
Government Announcement: 22 %
Breaking News: 21 %
Evolving Stories: 20 %
Event Coverage: 12 %
Press Release: 8 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Elections
  • Government
  • Politics
  • Public Policy
  • Security Policy
  • Tech Policy
  • Disaster & Emergency Response
  • Public Event Safety
  • Public Surveillance Systems
  • Individual Sports
  • Sports Disciplines
  • Team Sports

Pitching Insights

Eric Mayer's coverage primarily revolves around local government and politics, with occasional sports coverage. He often reports on government announcements, cites data and press releases to support his articles.

For effective outreach:
1. Offer insights or commentary related to local government initiatives or political developments in South Dakota.
2. Provide data-driven analysis of topics like child care, elections, public safety, education, and health that are relevant to the region.
3. If pitching a sports-related story, ensure it has a strong tie-in with the Sioux Falls area or South Dakota in general for better resonance with Eric Mayer's focus.

Given his geographic focus on South Dakota and Sioux Falls specifically, pitches should emphasize relevance to this area when applicable.

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