Jaci Stephen

Television Columnist; Feature Writer; Broadcaster, Blogger

AS SEEN ON

Preston's Summary

Jaci Stephen is a Television Columnist, Feature Writer, Broadcaster, and Blogger. She covers a range of topics including finance, personal finance, family and relationships, often intertwining these themes with discussions on crime, murder, and popular media such as Netflix. Jaci's work has been featured in The Times, MailOnline, and The i Paper.

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

Geo Focus

Walford, United Kingdom (Local)

Coverage Attributes:

Beta
Exclusive: 23 %
Seasonal: 20 %
Evolving Stories: 16 %
Opinion Editorial: 13 %
Review: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Dating
  • Retirement Planning
  • Saving & Investing

Pitching Insights

Jaci Stephen's coverage demonstrates a focus on entertainment, particularly soap operas and TV shows. She also covers topics related to aging, relationships, and legal issues.

Pitches for Jaci should align with her interest in exclusive content, opinion editorials, reviews of entertainment media or events within the UK market. Sources who can provide unique insights into current trends in soap operas or TV shows may be well-received.

Given her interest in evolving stories and exclusive content, experts who can offer insider perspectives on the mentioned themes will likely capture her attention.

When reaching out to Jaci Stephen it is important to consider that she has a national (United Kingdom) geographic focus.

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
Duncan Lindsay
Editorial Training and Welfare Manager
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data