Kayleigh McEnany
Co-host @OutnumberedFNC. Fmr. White House Press Secretary. Author of "Serenity in the Storm.” Harvard Law. Georgetown SFS.
3,474,774
Followers
2,627
Following
24,745
Tweets
8,624.1
Avg Engagement
7,099
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kayleighmcenany'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: Mega Influencer (1M+)
- Account Age:2011-02-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:6,247.1
- Avg Retweets per Tweet:2,377.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is largely positive and supportive of her political messaging.
6,247.1
Avg Likes/Tweet
2,377.0
Avg Retweets/Tweet
20,259,230
Total Likes
7,708,679
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
609
Median Retweets
7,866
75th Percentile
340,783
Top Tweet
2.48
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
31.3%
Original
2.7%
Replies
55.7%
Retweets
10.4%
Quotes
0.0%
Threads
0.6%
With Media
39.0%
With Links
7.1%
With #Tags
78.9%
With @Mentions
14.7%
With Emojis
143
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.0%
Weekday Posts
21.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 1,805 retweets (56% 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 3,243 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 conservative and Republican supporters who align with her political stance. She also engages with media personalities and political figures.
Average
Audience Quality
32.2%
Suspicion Index
50.6%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.5%
Empty Bio
47.0%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
34.7%
<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.
13,563,998
Total Potential Reach
7
Median Follower Reach
32
75th Percentile Reach
2.5%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
27.8%
Creators
13,913 accounts
25.2%
Consumers
12,606 accounts
47.0%
Dormant
23,481 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):
1,446
Verified Followers
1.43% of total
5,491
Protected Accounts
5.44% of total
3 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 |
|---|---|---|---|
| @Redistrict | 641,923 | Political Analyst | maps, data, ski slopes |
| @ScottGottliebMD | 587,185 | Healthcare | Healthcare, Policy, Innovation |
| @OsmarTerra | 570,313 | Politician | Medicine, Social Development, Politics |
| @Uldouz | 461,404 | Influencer | Women's rights, Charity, Social media |
| @SimonKaggwaNjal | 412,209 | PR Consultant | #PR, #Media, #Speakerpreneur |
| @BlazeTV | 302,849 | Media | Conservative, Entertainment, America |
| @Havenlust | 292,185 | Photographer | Photography, Travel, Art |
| @dom_lucre | 283,296 | Activist | Homelessness, Hip-Hop, Philanthropy |
| @YerickoNyerereT | 241,484 | Politician | Politics, Business, Security |
| @greglaurie | 239,942 | Pastor | God, Evangelism, Ministry |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
32,709
Followers With Bio
68,288
Followers Without Bio
32.39%
% With Bio
67.61%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,243 analyzed1,068,597
Combined Engagement
497,481
Total Likes
571,116
Total Retweets
213,719
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
Blessed beyond measure. https://t.co/8cQxkVAMV0
AMAZING! More than one MILLION marchers for President @realDonaldTrump descend on the swamp in support. Best base in political history — we LOVE you guys!!! ❤️🇺🇸 https://t.co/vU65nqCSns
RT @elonmusk: The extreme antibody reaction from those who fear free speech says it all
Loving my bud! ❤️ https://t.co/ctcKFwgf4e
Key Insights & Takeaways
Her content often highlights her political affiliations and support for Trump. She uses personal and emotional language to connect with her audience. Her tweets frequently include links to articles or videos that reinforce her viewpoints.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,474,774
- + 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 @kayleighmcenany reveals an exceptionally influential Twitter presence with 3,474,774 followers. The account demonstrates a content-creator strategy, averaging 8,624.1 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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