Dayle Pereira

Editor

AS SEEN ON

Preston's Summary

Dayle Pereira is an Editor at NDTV. She specializes in beauty and fashion, as well as travel and wellness, often exploring themes related to style, holidays, and seasonal celebrations like Diwali and Christmas. Dayle's work has been featured in NDTV and Be Beautiful.

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

Geo Focus

Coverage Attributes:

Beta
Event Coverage: 34 %
Exclusive: 12 %
Seasonal: 9 %
Expert Commentary: 8 %
Promotional Deal: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Fashion Industry
  • Fitness
  • Beauty Industry
  • Wellness Programs
  • Celebrities
  • Aging & Longevity

Pitching Insights

Dayle Pereira’s articles predominantly cover fashion and lifestyle, with a strong focus on celebrity style. She is likely to be interested in pitches related to the latest fashion trends, red carpet moments, celebrity outfits or appearances at events.

Considering Dayle's coverage attributes and themes covered, she may be particularly receptive to pitches that provide insights into emerging fashion trends or exclusive interviews with designers, stylists or celebrities. Event-specific pitches related to major award shows, fashion weeks and other high-profile gatherings within the entertainment industry may also resonate well with her.

Given her extensive coverage of Bollywood-related topics as well as travel and lifestyle features, sources who can offer unique perspectives on these areas would likely capture her attention.

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
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data