Hanna Cavinder
Cavinder@thisisesm.com
28,291
Followers
301
Following
2,743
Tweets
1,088.7
Avg Engagement
49
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CavinderHanna'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:2013-01-27
- Verification:No
- Location:Miami, FL
Data Summary
- Tweets Analyzed:584
- Avg Likes per Tweet:53.6
- Avg Retweets per Tweet:1,035.0
- Followers Analyzed:21,272
Engagement Analysis
Based on 584 tweetsThe account has a moderate engagement rate, with an average of 150 retweets per tweet.
53.6
Avg Likes/Tweet
1,035.0
Avg Retweets/Tweet
31,319
Total Likes
604,456
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
51
75th Percentile
183,958
Top Tweet
38.48
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
9.4%
Original
15.4%
Replies
66.4%
Retweets
8.7%
Quotes
0.0%
Threads
0.0%
With Media
44.7%
With Links
20.9%
With #Tags
84.8%
With @Mentions
47.9%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.64
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 584 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 388 retweets (66% 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 584 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 21,272 followersThe audience appears to be interested in lifestyle, personal reflections, and celebrity interactions.
Good
Audience Quality
19.6%
Suspicion Index
23.5%
Low-Quality %
116
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
13.4%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
37.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
8.7%
<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.
25,448,417
Total Potential Reach
116
Median Follower Reach
344
75th Percentile Reach
7.8%
>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).
72.1%
Creators
15,328 accounts
14.6%
Consumers
3,096 accounts
13.4%
Dormant
2,848 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):
414
Verified Followers
1.95% of total
3,216
Protected Accounts
15.12% 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 |
|---|---|---|---|
| @StephMcMahon | 3,276,842 | Wrestling Executive | WWE, philanthropy, fitness |
| @SLAMonline | 1,338,343 | Sports Media | Basketball, Sneakers, Fashion |
| @YaOnlyLivvOnce | 1,261,451 | Wrestler | video games, scary movies, wrestling |
| @JDaIey | 1,226,288 | Owner | Esports, Gaming, Sponsorship |
| @MilesSTEREOS | 862,131 | Musician | Guitarist, Writer, Producer |
| @ZachBoychuk | 830,527 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SleepSkee | 711,647 | Musician | Music, Independent, Artist |
| @FashionweekNYC | 574,059 | Fashion Blogger | Fashion, Culture, Runways |
| @champssports | 563,312 | Retailer | sports, sneakers, fashion |
| @GoodmanHoops | 310,653 | Basketball Analyst | Basketball, Analyst, Hoops |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,129
Followers With Bio
8,143
Followers Without Bio
61.72%
% With Bio
38.28%
% 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 584 analyzed369,067
Combined Engagement
0
Total Likes
369,067
Total Retweets
73,813
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @obj: In order to insult me, I must first value your opinion.
RT @SLAMonline: 24 Forever. https://t.co/zj09f5wwU5
RT @solomitchy: make sure you pray...even when things are going well.
RT @bakermayfield: This is so dumb. You’re telling me competition doesn’t bring out the best in people? If you want something bad enough, w…
RT @espn: Countless memories. Mamba forever 💜💛 https://t.co/2r31JCTIvv
Key Insights & Takeaways
The user frequently shares personal and emotional content, which resonates with their audience. They often engage with celebrity mentions, indicating a connection to pop culture. Their tweets include visual elements, suggesting a focus on aesthetics and relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 28,291
- + 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 @CavinderHanna reveals an exceptionally influential Twitter presence with 28,291 followers. The account demonstrates a conversation-first approach, averaging 1,088.7 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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