Katie Phang

Katie Phang

@KatiePhang

Host of The @katiephangshow on @MSNBC | Anchor and Legal Contributor, @NBC & @MSNBC | RTs and ❤️ ≠ endorsements

https://www.ms.now/katie-phang Joined 2013-03-21 Date of Analysis: Dec 16, 2025

275,458

Followers

2,324

Following

54,578

Tweets

764.9

Avg Engagement

2,046

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @KatiePhang's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2013-03-21
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:369.3
  • Avg Retweets per Tweet:395.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,248 tweets

Her tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent with her role as a media personality and her ability to connect with her followers.

369.3

Avg Likes/Tweet

395.6

Avg Retweets/Tweet

1,199,400

Total Likes

1,285,050

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

32

Median Likes

8

Median Retweets

350

75th Percentile

99,309

Top Tweet

2.78

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

13.4%

Original

58.2%

Replies

17.7%

Retweets

10.7%

Quotes

0.0%

Threads

0.3%

With Media

26.8%

With Links

4.7%

With #Tags

77.1%

With @Mentions

14.4%

With Emojis

97

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.33

Reply/Original Ratio

0.6

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

69.2%

Weekday Posts

30.8%

Weekend Posts

Top Hashtags

#alexmurdaugh (22) #katiephangshow (15) #franky (11) #thekatiephangshow (7) #indictmentwatch (5) #followthemoney (5) #justicematters (4) #murdaughtrial (4) #alexmurdaughtrial (4) #dominionvsfox (3)

Most Mentioned

@katiephangshow (476) @msnbc (212) @katiephang (188) @joycewhitevance (54) @mollyjongfast (45) @niallharbison (41) @nicolledwallace (35) @ronfilipkowski (34) @hugolowell (34) @deadlinewh (32)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 436 (13%)
Replies 1,890 (58%)
Retweets 576 (18%)
Quote Tweets 346 (11%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 576 retweets (18% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,248 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

Her audience includes political enthusiasts, media consumers, and individuals interested in personal stories and social issues. The audience is likely to be engaged with both current events and emotional narratives.

Average

Audience Quality

22.5%

Suspicion Index

25.8%

Low-Quality %

78

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

41.6%

Empty Bio

15.3%

<10 Tweets

20.1%

Mass Following (>2K)

0.0%

New (<90 days)

44.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.2%

No URL

10.0%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

95,889,665

Total Potential Reach

78

Median Follower Reach

376

75th Percentile Reach

14.2%

>1K followers

1.8%

>10K followers

0.4%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

70.6%

Creators

35,309 accounts

14.1%

Consumers

7,030 accounts

15.3%

Dormant

7,661 accounts

416

Verified Followers

0.83% of total

8.1%

Professional Bios

founder, dev, analyst, etc.

0.12

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

United States (891) California, USA (376) USA (333) Los Angeles, CA (272) Washington, DC (234) Florida, USA (224) New York, NY (207) Chicago, IL (204) New York, USA (182) Texas, USA (174)

782

Verified Followers

0.77% of total

10,010

Protected Accounts

9.91% of total

7 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@VancityReynolds 21,305,980 Actor gin, mobile, soccer
@JohnCena 14,101,179 Wrestler Wrestling, Motivation, Self-promotion
@NBCNews 9,428,947 News Outlet News, Updates, Diversity
@MarkHamill 5,286,804 Actor Star Wars, Believe, Humor
@JimGaffigan 3,105,821 Comedian Comedy, Touring, Family
@mishacollins 2,792,114 Actor Actor, baker, candlestick maker
@JoeNBC 2,757,728 - -
@ariannahuff 2,741,576 Entrepreneur Mother, Sister, Founder
@DanRather 2,701,188 Journalist Journalism, storytelling, reading
@buitengebieden 2,173,707 Photographer Nature, Photography, Travel

Top Keywords in Follower Bios

love (4,503) mom (4,104) lover (3,590) retired (3,371) proud (2,846) dms (2,813) life (2,746) democrat (2,698) blue (2,653) blm (2,300)

Top Hashtags in Follower Bios

#blm (1,536) #resist (1,465) #voteblue (943) #bluecrew (581) #fbr (422) #blacklivesmatter (378) #resister (313) #lgbtq (301) #prochoice (286) #resistance (258)

62,303

Followers With Bio

38,694

Followers Without Bio

61.69%

% With Bio

38.31%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,248 analyzed

406,645

Combined Engagement

0

Total Likes

406,645

Total Retweets

81,329

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Personal Storytelling Political Commentary Emotional Connection

Key Insights & Takeaways

Her personal stories often resonate deeply with her audience, creating an emotional connection. She frequently shares content that blends personal and political themes, reflecting her unique voice. Her high engagement suggests that her audience values authenticity and relatability in public figures.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 275,458
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @KatiePhang reveals an well-established Twitter presence with 275,458 followers. The account demonstrates a conversation-first approach, averaging 764.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025