Hannah Sacks

Editor

Preston's Summary

Hannah Sacks is a writer and editor with a passion for storytelling and a particular interest in celebrity news and human interest stories. With a background in literature and gender studies, she brings a unique perspective to her reporting on topics ranging from family dynamics to Hollywood relationships. Her work has been featured in a variety of publications, showcasing her versatility as a journalist.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Exclusive: 49 %
Event Coverage: 21 %
Seasonal: 7 %
Expert Commentary: 5 %
Private Sector Announcements: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Parenting Styles
  • Adoption & Foster Care
  • Early Childhood Education
  • Pregnancy & Childbirth
  • Celebrities
  • Mental Health

Pitching Insights

Hannah Sacks predominantly covers entertainment news and family-related topics, focusing on celebrity parents, children, and family life. She shows a preference for covering events and seasonal content in this area.

Given her coverage attributes, Hannah is likely to be receptive to pitches that provide exclusive insights into the lives of celebrities as parents or offer seasonal tie-ins related to family dynamics. Pitches could include interviews with experts in parenting or child development who can provide valuable insights or commentary on current trends in celebrity families or offer tips for maintaining work-life balance.

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
Most recent topics
Not enough data
Emy Lacroix
Chief Writing and Branding Manager
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data