Jack Saddler

Editor

Preston's Summary

Jack Saddler is an editor for Secret London, a publication focused on local news and events in the United Kingdom, with a particular emphasis on London. Jack covers a wide range of topics, including transportation, entertainment, city rankings, and cultural happenings, providing readers with the latest updates and insights on what's happening in the city.

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

Geo Focus

London, United Kingdom (Local)

Coverage Attributes:

Beta
Event Coverage: 50 %
Seasonal: 15 %
Press Release: 9 %
Private Sector Announcements: 6 %
Promotional Deal: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Celebrities
  • Concerts & Festivals
  • Entertainment News
  • Authors
  • Books
  • Publishing Houses

Pitching Insights

Jack Saddler's local focus on London and coverage of entertainment news and house & home suggests he would be most receptive to pitches related to events, music, landmarks, and lifestyle in London. Consider reaching out with stories about upcoming events, new developments in the city's cultural scene or real estate market, or unique initiatives related to entertainment venues.

Given Jack's interest in event coverage and press releases, providing exclusive access or early information about upcoming events such as concerts, landmark features, or significant changes to the cityscape could capture his attention.

When pitching Jack Saddler make sure your content is relevant specifically to London-based events or places since that seems to be his primary area of interest.

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