Natalie Gray Herder

Commerce Editor, Branded Content

Preston's Summary

Natalie Gray Herder is a Commerce Editor on the branded content team at Who What Wear. With a keen focus on the beauty and fashion industries, she explores topics such as apparel design, luxury goods, and consumer travel, drawing inspiration from both her California roots and the vibrant street style of New York City. Her work has been featured in Who What Wear UK, Yahoo News, Marie Claire, and Homes & Gardens, among others.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Promotional: 30 %
Informative: 19 %
Reviews: 13 %
Gift Guides: 12 %
Listicles: 9 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Apparel Design
  • Fashion Industry
  • Luxury Goods
  • Beauty Industry
  • Makeup & Skincare

Pitching Insights

Natalie Gray Herder focuses on creating content around beauty, fashion, and home decor with an emphasis on seasonal trends and gift guides. She often features promotional deals within her articles.

For pitches to Natalie, consider offering unique insights into current or upcoming seasonal trends in beauty, fashion, or home decor. Additionally, if you have a new product launch or promotional deal related to these themes that would be of interest to her audience, it may be worth highlighting this aspect in your outreach.

It's important to note that she does not have a specific geographic focus but instead appears to cover topics from a more general perspective without any particular regional constraints.

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

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Humaa Hussain
Junior Branded Content Editor
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data