Romal Laisram

Principal Correspondent

Preston's Summary

Romal Laisram is a Principal Correspondent for Indulge Express and The New Indian Express, focusing on local news and events in Bengaluru, India. With a keen interest in lifestyle, fashion, and culture, Romal's articles provide readers with insights into the latest collaborations, trends, and experiences in the city.

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

Geo Focus

India (National)

Coverage Attributes:

Beta
Event Coverage: 21 %
Promotional Deal: 18 %
Press Release: 15 %
Private Sector Announcements: 14 %
Review: 6 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Fashion Industry
  • Fine Art
  • Beverage Production
  • Concerts & Festivals
  • Film Industry
  • Adventure Travel

Pitching Insights

Romal's coverage is primarily focused on local events, lifestyle, and entertainment news in Bengaluru, India. The predominant themes are beauty & fashion, house & home, and entertainment news.

Given Romal's focus on local events and lifestyle content in Bengaluru, pitches should be tailored to align with her emphasis on promoting deals or covering specific events. She may also be interested in press releases related to the beauty & fashion industry or new establishments opening up in the city.

As Romal focuses primarily on local topics such as festivals, food, travel and music within Bengaluru and India at large; sources providing unique insights into these areas would likely garner greater attention from her.

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
Sharmistha Ghosal
Senior Assistant Editor
Most recent topics
Not enough data
Muskan Khullar
Lifestyle Journalist
Most recent topics
Not enough data
Most recent topics
Not enough data
Surbhi Shah
Sub-Editor AI/tech stories
Most recent topics
Not enough data