Kate Flannery
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 tweetsKate'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
Most Mentioned
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Content Strategy Analysis
Based on 3,207 tweetsContent Type Distribution
Content Breakdown
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 tweetsEngagement 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 followersHer 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.
Try Bot DetectorFollower 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
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):
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
Top Hashtags in Follower Bios
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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,207 analyzed342,404
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:
RT @RedHourBen: I’m sad to say that my father, Jerry Stiller, passed away from natural causes. He was a great dad and grandfather, and the…
RT @Jeopardy: A one-year update from Alex: https://t.co/W9101suZeZ
RT @RexChapman: Herman Munster’s words of wisdom in 1965. Still no lies told... https://t.co/EdAJ0BhrZI
RT @rainnwilson: FACT: The Office first aired 14 years ago today.
RT @NeilDiamond: Stay safe out there! “Hands... washing hands..” 🎶 https://t.co/QaRB1qZshp
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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