Sadie Whitelocks

Us Assistant Travel Editor

AS SEEN ON

Preston's Summary

Sadie Whitelocks is a US Assistant Travel Editor at MailOnline. Her expertise lies in luxury and adventure travel, with a focus on far-flung destinations including Antarctica, Mongolia, and Papua New Guinea. Sadie's work has been featured in This Is Money, The Telegraph, Metro.co.uk, and more, highlighting her adventurous spirit and dedication to exploring the world.

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

Geo Focus

Coverage Attributes:

Beta
Expert Commentary: 15 %
Event Coverage: 14 %
Review: 13 %
Cites Data: 13 %
Evolving Stories: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

Not enough data icon

Not enough data

Pitching Insights

Sadie Whitelocks' coverage primarily focuses on travel and tourism, with an emphasis on unique destinations and experiences. She often includes data and expert commentary in her articles, indicating a preference for well-researched insights from credible sources.

Given the variety of themes she covers, Sadie may be interested in pitches related to off-the-beaten-path travel destinations, unusual living arrangements such as nomadic lifestyles or remote island living, and insider perspectives on holiday traditions around the world.

Writers who can provide unique angles on popular topics like holiday destinations or behind-the-scenes insight into travel-related industries could also capture Sadie's interest. When reaching out to her, consider offering exclusive access to little-known locations or providing expert analysis backed by relevant data.

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
Most recent topics
Not enough data