Jordan Raanan

Preston's Summary

Jordan Raanan is a journalist who writes for various outlets including abc7NY, ABC 7 Chicago, ESPN Classic, ESPN, and ABC Network News. His articles primarily focus on the NFL, providing analysis, draft scenarios, and insider information on teams such as the New York Giants. Jordan's work has also been featured in international sports media outlets and fantasy football platforms.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Event Coverage: 24 %
Evolving Stories: 19 %
Breaking News: 16 %
Press Release: 10 %
Expert Commentary: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Major League Sports
  • Team Sports
  • Individual Sports

Pitching Insights

Jordan Raanan's coverage is heavily focused on the New York Giants and NFL football, with an emphasis on evolving stories, breaking news, and event coverage. His articles largely revolve around the happenings within the team and its impact on game results.

Given this focus, individuals who can provide insights into the inner workings of football organizations or offer expert analysis related to player contracts may be well-received by Jordan for potential contributions to his articles. Additionally, sources with knowledge of specific NFL draft scenarios or those capable of providing in-depth perspectives on team strategies may find success reaching out to him.

As most of his reporting centers around local teams such as the New York Giants and broader topics like NFL Draft picks, it would be beneficial for potential contributors to have direct knowledge or expertise in these areas when approaching Jordan.

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