Jonathan Moules

Newsletters editor and writer

Preston's Summary

Jonathan Moules is a newsletters editor and writer, with a focus on national news in the United Kingdom. He writes for publications such as the Financial Times and the New Zealand Herald, and his work has also been featured in Yahoo Finance. Jonathan covers a range of topics including business, finance, politics, and entrepreneurship, with a particular interest in highlighting the experiences and achievements of older entrepreneurs.

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

Geo Focus

Coverage Attributes:

Beta
Opinion Editorial: 20 %
Cites Data: 16 %
Seasonal: 11 %
Government Announcement: 9 %
Event Coverage: 9 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Cryptocurrency
  • Crypto Exchanges
  • Crypto Regulation
  • Crypto Taxation

Pitching Insights

Jonathan Moules' coverage spans a range of topics including politics, finance & economy, world affairs, and business & industry. His articles often include opinion editorials and cite data to support his analysis.

When reaching out to Jonathan, consider providing well-researched data-driven insights into political events or economic trends with relevance to the UK. Moreover, as he frequently includes opinion editorials in his work, offering unique perspectives on current political or business issues could be particularly appealing.

Given that his geographic focus is the United Kingdom, tailoring pitches to reflect local political developments or economic indicators would likely resonate strongly with him.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Rana Foroohar
Columnist & Associate Editor
Most recent topics
Not enough data
Gillian Tett
Financial Times Columnist
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data