Emily Scrivener

Commerce Writer

AS SEEN ON

Preston's Summary

Emily Scrivener is a Commerce Writer at various publications. She specializes in beauty and fashion, retail, and e-commerce, often exploring topics such as shopping trends, Black Friday, Prime Day, and holiday style. Emily's work has been featured in 247 News Around The World, LeicestershireLive, and MailOnline.

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

Geo Focus

United Kingdom (National)

Coverage Attributes:

Beta
Promotional Deal: 59 %
Gift Guides: 15 %
Review: 11 %
Seasonal: 10 %
How To Guide: 1 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Beauty Industry
  • Apparel Design
  • Fashion Industry
  • Jewellery
  • Luxury Goods

Pitching Insights

Emily Scrivener's articles predominantly focus on beauty and fashion products, shopping deals, skincare, and Christmas shopping. The majority of her coverage attributes are related to promotional deals and reviews.

To effectively reach out to Emily Scrivener, consider offering pitches that include exclusive promotions or discounts for beauty and fashion products. Additionally, providing samples for review may also be a successful approach given the high percentage of review-related content in her coverage attributes.

When reaching out to Emily Scrivener, it is important to align with the themes covered in her articles by tailoring pitches around new product launches, innovative beauty solutions, attractive shopping deals within the beauty and fashion industry.

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
Brijiena Lovelace
Freelance Ecommerce Writer
Most recent topics
Not enough data
Tom Capon
What's On and Showbiz Editor
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data