Ana Escalante

Assistant Editor, Who What Wear

Preston's Summary

Ana Escalante is an Assistant Editor at Who What Wear, with her work also appearing in Marie Claire, Newswav, and Who What Wear UK. She specializes in fashion and shopping content, providing readers with the latest trends, must-have items, and shopping recommendations from popular retailers.

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

Geo Focus

Coverage Attributes:

Beta
Promotional Deal: 52 %
Seasonal: 22 %
Gift Guides: 10 %
Review: 7 %
Event Coverage: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Fashion Industry
  • Apparel Design
  • Beauty Industry
  • Makeup & Skincare
  • Sales Analytics

Pitching Insights

Ana's coverage predominantly revolves around beauty and fashion, with a focus on promotional deals, seasonal trends, and gift guides. To effectively reach out to Ana, consider offering insights into upcoming seasonal trends or exclusive details about new product launches within the beauty and fashion industry.

Since she covers promotional deals extensively, sharing information about special promotions or discounts on trending products may capture her attention. Additionally, providing insider tips on where to find affordable yet stylish items aligns with her content themes.

Given Ana’s broad focus across various topics in beauty and fashion without specific geographic limitations, pitches should be tailored to resonate with an international audience interested in these areas.

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

Journalists With Similar Coverage:

Based on similarity of content.
Meg Donohue
Associate Fashion Commerce Editor
Most recent topics
Not enough data
Sierra Mayhew
Associate Editor, Who What Wear
Publications
Most recent topics
Not enough data
Natalie Gray Herder
Associate Editor, Branded Content - Who What Wear
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data