Kliff Kingsbury
Arizona Cardinals | #BeRedSeeRed
120,756
Followers
726
Following
185
Tweets
1,120.1
Avg Engagement
436
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KliffKingsbury'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:2013-01-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:180
- Avg Likes per Tweet:616.3
- Avg Retweets per Tweet:503.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 180 tweetsHis tweets receive high engagement, with an average of 7,106 likes and 2,516 retweets per post.
616.3
Avg Likes/Tweet
503.8
Avg Retweets/Tweet
110,941
Total Likes
90,680
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
55
Median Likes
80
Median Retweets
608
75th Percentile
36,554
Top Tweet
9.28
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
60.0%
Original
17.2%
Replies
21.1%
Retweets
1.7%
Quotes
0.0%
Threads
0.6%
With Media
51.7%
With Links
66.1%
With #Tags
66.7%
With @Mentions
3.3%
With Emojis
103
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 180 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 38 retweets (21% 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 180 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 followersHis audience includes football fans, players, and media, with a focus on the NFL and Arizona Cardinals.
Average
Audience Quality
22.6%
Suspicion Index
31.4%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.7%
Empty Bio
24.5%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
41.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
18.2%
<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.
127,994,297
Total Potential Reach
64
Median Follower Reach
274
75th Percentile Reach
7.2%
>1K followers
1.0%
>10K followers
0.3%
>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).
59.9%
Creators
29,968 accounts
15.6%
Consumers
7,778 accounts
24.5%
Dormant
12,254 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):
631
Verified Followers
0.62% of total
14,205
Protected Accounts
14.06% of total
9 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 |
|---|---|---|---|
| @NFL | 32,992,962 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,101,258 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamSchefter | 10,352,315 | Sports Journalist | NFL, Insider, Podcast |
| @FloydMayweather | 7,752,487 | Boxer | boxing, money, lifestyle |
| @SportsNation | 5,461,017 | - | - |
| @nflnetwork | 4,952,407 | Sports Media | Football, Television, Sports |
| @AaronRodgers12 | 4,600,738 | Athlete | football, philanthropy, outdoors |
| @NFLonFOX | 3,696,557 | Sports Media | Football, NFL, Sports |
| @CollegeGameDay | 2,981,694 | Sports Analyst | Sports, College Football, ESPN |
| @Variety | 2,912,437 | Entertainment industry | Entertainment, Business, Variety |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,870
Followers With Bio
48,127
Followers Without Bio
52.35%
% With Bio
47.65%
% 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 180 analyzed92,036
Combined Engagement
52,562
Total Likes
39,474
Total Retweets
18,407
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
Thank you. #WreckEm https://t.co/X7znxRdz2u
RT @DannyAmendola: I will DONATE $100 for EVERY pass I catch next season to whatever "Boston Marathon Relief Fund" there is. And $200 fo ...
HUGE thanks to @DannyAmendola and @RobGronkowski for having a special part in making a dream come true for @justus_parker. #chills #PatriotWay #WreckEm https://t.co/qJJZwdeeEW
Congrats @PatrickMahomes5! Hard work pays off. @Chiefs fans... Get your popcorn ready!!! #GunsUp https://t.co/eh6jvA6WuJ
It's Labor Day, so we decided to start @WWE Monday Night Raw a little early... #WreckEm @JohnCena @TitusONeilWWE https://t.co/O0HLAgUpRM
Key Insights & Takeaways
He frequently acknowledges players and teammates, showing appreciation and camaraderie. He uses hashtags to amplify his messages and connect with his audience. He often shares congratulatory messages, highlighting his supportive nature.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,756
- + 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 @KliffKingsbury reveals an exceptionally influential Twitter presence with 120,756 followers. The account demonstrates a content-creator strategy, averaging 1,120.1 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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