CantCatchCal 💨
Be still and know that I am God | #RIPAUNTMAYA | S4L | Inquiries: tgrossman@royaltymanagementgroup.com
10,866
Followers
1,109
Following
8,232
Tweets
2,970.7
Avg Engagement
48
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CalvinAustinIII'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: Mid-Tier (10K+)
- Account Age:2014-04-17
- Verification:No
- Location:901
Data Summary
- Tweets Analyzed:3,152
- Avg Likes per Tweet:12.4
- Avg Retweets per Tweet:2,958.3
- Followers Analyzed:9,596
Engagement Analysis
Based on 3,152 tweetsHis tweets receive high engagement, with an average of 1,214 likes and 2,513 retweets. This suggests a highly active and supportive community around his content.
12.4
Avg Likes/Tweet
2,958.3
Avg Retweets/Tweet
39,113
Total Likes
9,324,595
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
66
75th Percentile
3,009,755
Top Tweet
273.4
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
12.1%
Original
16.2%
Replies
50.8%
Retweets
20.9%
Quotes
0.0%
Threads
0.1%
With Media
67.7%
With Links
18.8%
With #Tags
70.8%
With @Mentions
42.3%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.34
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,152 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,601 retweets (51% 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 3,152 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 9,596 followersHis audience appears to be sports fans, particularly those supporting the Memphis Tigers and Pittsburgh Steelers. There is also a strong presence of faith-based followers.
Good
Audience Quality
14.2%
Suspicion Index
15.3%
Low-Quality %
177
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.3%
Empty Bio
6.1%
<10 Tweets
16.9%
Mass Following (>2K)
0.0%
New (<90 days)
27.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
3.3%
<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.
42,838,418
Total Potential Reach
177
Median Follower Reach
501
75th Percentile Reach
13.3%
>1K followers
1.9%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
81.9%
Creators
7,859 accounts
12.0%
Consumers
1,153 accounts
6.1%
Dormant
584 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):
146
Verified Followers
1.52% of total
934
Protected Accounts
9.73% of total
8 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 | 14,106,719 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,288 | - | - |
| @steelers | 3,751,050 | Sports Team | football, champions, Pittsburgh |
| @DezBryant | 3,504,713 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @memgrizz | 1,572,223 | Sports Team | Basketball, Grind City, Next Generation |
| @WorldWideWob | 1,080,784 | Sports Analyst | NBA, Basketball, Fantasy Sports |
| @CoachTomlin | 476,165 | Coach | Football, Coaching, Leadership |
| @UncleDrewGB | 467,913 | Basketball Player | Basketball, Uncle Drew, Drawing |
| @CFBONFOX | 453,554 | Sports Media | College Football, FOX Sports, App |
| @Moreno | 429,892 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,980
Followers With Bio
2,616
Followers Without Bio
72.74%
% With Bio
27.26%
% 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 3,152 analyzed4,130,798
Combined Engagement
0
Total Likes
4,130,798
Total Retweets
826,160
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @BarackObama: Michelle & I are praying for the victims in Las Vegas. Our thoughts are with their families & everyone enduring another senseless tragedy.
RT @Kaepernick7: Believe in something, even if it means sacrificing everything. #JustDoIt https://t.co/SRWkMIDdaO
RT @MarvelStudios: 11.11.22 https://t.co/nmrJhcpwsG
RT @BET: The FULL verse that EVERYBODY is talking about! @eminem BODIED THIS! #HipHopAwards https://t.co/zoS0wEwjQF
Key Insights & Takeaways
He frequently expresses gratitude and acknowledges his supporters, which likely drives engagement. His content often includes hashtags and links, indicating a strategic approach to reach a broader audience. He uses Twitter to promote his brand and connect with fans, especially in the sports and faith communities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,866
- + High community engagement through conversations
- + 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 @CalvinAustinIII reveals an exceptionally influential Twitter presence with 10,866 followers. The account demonstrates a conversation-first approach, averaging 2,970.7 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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