Kyrsten Sinema
US Senator for Arizona. Also: teaching @ASU, ultramarathoner, Boston qualifier, and IRONMAN.
184.131
Followers
224
Following
18.515
Tweets
399,3
Avg Engagement
1.842
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kyrstensinema'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:2009-02-13
- Verification:No
- Location:Phoenix
Data Summary
- Tweets Analyzed:3.247
- Avg Likes per Tweet:297,4
- Avg Retweets per Tweet:101,9
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.247 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across her posts.
297,4
Avg Likes/Tweet
101,9
Avg Retweets/Tweet
965.739
Total Likes
330.746
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
65
Median Likes
11
Median Retweets
235
75th Percentile
45.813
Top Tweet
2,17
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70,6%
Original
7,1%
Replies
12,8%
Retweets
9,5%
Quotes
0,0%
Threads
0,4%
With Media
67,9%
With Links
22,8%
With #Tags
37,6%
With @Mentions
14,1%
With Emojis
166
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,1
Reply/Original Ratio
0,75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,3%
Weekday Posts
24,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.247 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 416 retweets (13% 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 3.247 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 includes voters in Arizona, students, and sports enthusiasts. They are likely interested in politics, education, and fitness.
Average
Audience Quality
23,4%
Suspicion Index
28,4%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44,3%
Empty Bio
18,4%
<10 Tweets
14,9%
Mass Following (>2K)
0,0%
New (<90 days)
50,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,9%
No URL
12,4%
<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.
64.645.283
Total Potential Reach
43
Median Follower Reach
199
75th Percentile Reach
8,4%
>1K followers
0,9%
>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).
64,5%
Creators
32.275 accounts
17,1%
Consumers
8.526 accounts
18,4%
Dormant
9.199 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):
2.734
Verified Followers
2.71% of total
12.430
Protected Accounts
12.31% 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 | 14.100.332 | Wrestler | Wrestling, Motivation, Self-promotion |
| @StationCDRKelly | 5.267.853 | Astronaut | Space, Endurance, Stars |
| @AlvaroUribeVel | 5.230.926 | Politician | Politics, Colombia, Leadership |
| @Alyssa_Milano | 3.500.308 | - | - |
| @DineshDSouza | 3.217.626 | Author/Filmmaker | author, filmmaker, podcasting |
| @KlasraRauf | 2.370.987 | Journalist | Politics, Literature, Translation |
| @AnnCoulter | 2.109.219 | Author | politics, conservative, author |
| @JoyAnnReid | 2.051.623 | - | - |
| @jdickerson | 1.916.223 | Journalist | News, Politics, Journalism |
| @tedlieu | 1.658.244 | Politician | Family, USAF, Congress |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59.946
Followers With Bio
41.047
Followers Without Bio
59.36%
% With Bio
40.64%
% 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 3.247 analyzed173.144
Combined Engagement
123.630
Total Likes
49.514
Total Retweets
34.629
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
I’ve never commented about a fellow Senator’s choices/actions. Never once. This, America, is absolutely irresponsible. You cannot be near other people while waiting for coronavirus test results. It endangers others & likely increases the spread of the virus. https://t.co/651
In a natural extension of my service since I was first elected to Congress, I have joined the growing numbers of Arizonans who reject party politics by declaring my independence from the broken partisan system in Washington and formally registering as an Arizona Independent. 1/3
RT @CountingCrows: Maybe this year will be better than the last
Update: all National Guardsmen are welcomed back to the Capitol tonight. No more parking garages. https://t.co/yHSdKVNYdi
I am safe.
Key Insights & Takeaways
She blends political commentary with personal interests, creating a relatable image. Her use of humor and casual language helps connect with her audience. She effectively leverages her personal brand to enhance her political profile.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 184.131
- + 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 @kyrstensinema reveals an well-established Twitter presence with 184.131 followers. The account demonstrates a content-creator strategy, averaging 399,3 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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