Kate Flannery

Kate Flannery

@KateFlannery

Meredith the drunk from THE OFFICE, DWTS season28 Jane Lynch sidekick A Swingin’’ Little Xmas https://www.cameo.com/kateflan7?qid=1630208126 #blm #nowar

305,170

Followers

679

Following

12,582

Tweets

519.4

Avg Engagement

777

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @KateFlannery'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:2011-04-25
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,207
  • Avg Likes per Tweet:286.2
  • Avg Retweets per Tweet:233.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,207 tweets

Kate's tweets typically receive high engagement, with an average of 13,149 likes and 1,377 retweets per tweet. Her content is well-received and often shared within her community.

286.2

Avg Likes/Tweet

233.2

Avg Retweets/Tweet

917,899

Total Likes

747,802

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

10

Median Likes

4

Median Retweets

225

75th Percentile

115,917

Top Tweet

1.7

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

36.8%

Original

20.4%

Replies

35.3%

Retweets

7.6%

Quotes

0.0%

Threads

1.4%

With Media

58.2%

With Links

43.9%

With #Tags

82.1%

With @Mentions

30.9%

With Emojis

125

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.55

Reply/Original Ratio

0.21

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

79.1%

Weekday Posts

20.9%

Weekend Posts

Top Hashtags

#dwts (324) #theoffice (274) #teamthatswhatkatesaid (89) #meredithpalmer (69) #repost (49) #aswinginlittlechristmas (37) #ificandoitsocanyou (21) #thatswhatshesaid (15) #stayhome (14) #dwtstour (13)

Most Mentioned

@kateflannery (522) @dancingabc (327) @pashapashkov86 (255) @janemarielynch (207) @angelakinsey (92) @dkaragach (85) @tonyguerrero (77) @jennafischer (70) @dwtslivetour (69) @theofficenbc (63)

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Content Strategy Analysis

Based on 3,207 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,180 (37%)
Replies 653 (20%)
Retweets 1,131 (35%)
Quote Tweets 243 (8%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 1,131 retweets (35% 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 3,207 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 primarily consists of fans of The Office and Dancing with the Stars, as well as general pop culture enthusiasts. They appreciate her humor, nostalgia, and personal stories.

Average

Audience Quality

24.5%

Suspicion Index

26.8%

Low-Quality %

30

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.7%

Empty Bio

22.9%

<10 Tweets

10.6%

Mass Following (>2K)

0.0%

New (<90 days)

60.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.3%

No URL

14.9%

<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.

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Follower Reach & Influence

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

57,999,564

Total Potential Reach

30

Median Follower Reach

124

75th Percentile Reach

3.9%

>1K followers

0.5%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

57.0%

Creators

28,480 accounts

20.2%

Consumers

10,084 accounts

22.9%

Dormant

11,436 accounts

346

Verified Followers

0.69% of total

5.2%

Professional Bios

founder, dev, analyst, etc.

0.07

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 (435) Los Angeles, CA (207) California, USA (171) Chicago, IL (171) England, United Kingdom (141) Texas, USA (127) London, England (125) United Kingdom (112) India (108) Florida, USA (104)

613

Verified Followers

0.61% of total

14,398

Protected Accounts

14.26% 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
@JohnCena 14,103,244 Wrestler Wrestling, Motivation, Self-promotion
@pattonoswalt 4,670,136 Comedian comedy, acting, podcasting
@PearlThusi 3,478,667 Actress Actress, Netflix, Africa
@alroker 2,401,285 TV Host Weather, TV, Podcast
@Meghan_Trainor 1,988,858 Singer Music, Love, Collaboration
@chelseaperetti 1,430,666 Comedian Comedy, Acting, Music
@jefrinichol 1,276,863 - -
@OriginalFunko 1,261,245 Collectibles Pop culture, collectibles, fans
@RexChapman 1,254,829 Commentator Basketball, Horse racing, Commentary
@meganamram 1,065,501 Comedian weird, sexual, anti-comedy

Top Keywords in Follower Bios

love (3,271) life (2,308) mom (2,129) sheher (2,079) lover (1,794) music (1,498) wife (1,494) things (1,132) husband (1,110) time (1,081)

Top Hashtags in Follower Bios

#blm (224) #blacklivesmatter (213) #resist (92) #1 (87) #billsmafia (64) #voteblue (47) #bitcoin (40) #ynwa (36) #stopasianhate (36) #theoffice (33)

63,289

Followers With Bio

37,710

Followers Without Bio

62.66%

% With Bio

37.34%

% 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.

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Viral Tweets

Top 5 by likes+RTs from 3,207 analyzed

342,404

Combined Engagement

0

Total Likes

342,404

Total Retweets

68,481

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

The Office Pop Culture Humor Nostalgia Celebrity Fan Interaction

Key Insights & Takeaways

She leverages her celebrity status to connect with fans and share behind-the-scenes content. Her tweets often include humor and pop culture references, which drive engagement. She maintains a personal and relatable tone, which helps build a loyal following.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 305,170
  • + Strong original content creation
  • + 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 @KateFlannery reveals an well-established Twitter presence with 305,170 followers. The account demonstrates a content-creator strategy, averaging 519.4 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.

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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