Becca Bandit
AS SEEN ON

Preston's Summary

Becca Bandit is a journalist based in San Francisco, California. She writes for the local publication San FranFreesco, covering a range of topics including local businesses, art exhibits, cultural events, and community news. With a passion for highlighting the unique and vibrant aspects of the city, Becca aims to keep readers informed and engaged with the happenings of San Francisco.

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

Geo Focus

San Francisco, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 40 %
Press Release: 17 %
Private Sector Announcements: 16 %
Seasonal: 9 %
Promotional Deal: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Event Management Software
  • Business Conferences
  • Networking Events
  • Fine Art
  • Urban Art & Street Art
  • Chain Restaurants & Franchises

Pitching Insights

Becca Bandit's focus is predominantly on local San Francisco events, with a significant emphasis on press releases and event coverage. Based on this pattern of coverage, she would likely be most responsive to pitches related to upcoming local events in San Francisco, especially those tied to landmarks or attractions.

Given her high percentage of press release coverage, reaching out with well-crafted press releases about newsworthy developments in the San Francisco area could increase the chances of gaining her attention.

Additionally, considering Becca's interest in house & home topics alongside entertainment news, she may also appreciate pitches related to unique homes or venues hosting local entertainment events within the San Francisco area.

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