Haley Cavinder
Cavinder@thisisesm.com
30,868
Followers
189
Following
1,980
Tweets
673.8
Avg Engagement
59
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CavinderHaley'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:2015-05-04
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:584
- Avg Likes per Tweet:57.5
- Avg Retweets per Tweet:616.3
- Followers Analyzed:24,391
Engagement Analysis
Based on 584 tweetsCavinderHaley's tweets receive a high average number of likes and retweets, indicating strong audience interaction. Their content is well-received, with a focus on emotional and motivational messaging that resonates with followers.
57.5
Avg Likes/Tweet
616.3
Avg Retweets/Tweet
33,581
Total Likes
359,941
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
41
75th Percentile
73,068
Top Tweet
21.83
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
6.3%
Original
15.1%
Replies
75.5%
Retweets
3.1%
Quotes
0.0%
Threads
0.2%
With Media
43.3%
With Links
24.7%
With #Tags
94.3%
With @Mentions
50.3%
With Emojis
98
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.38
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
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 441 retweets (76% 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 24,391 followersThe audience appears to be sports enthusiasts, especially fans of Miami and the Canes WBB team, as well as individuals interested in personal updates and community engagement. They are likely aged 18-35 and active in social media discussions.
Good
Audience Quality
19.2%
Suspicion Index
23.3%
Low-Quality %
117
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.2%
Empty Bio
12.8%
<10 Tweets
17.3%
Mass Following (>2K)
0.0%
New (<90 days)
36.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
8.4%
<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.
27,886,668
Total Potential Reach
117
Median Follower Reach
339
75th Percentile Reach
7.7%
>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).
72.9%
Creators
17,776 accounts
14.4%
Consumers
3,505 accounts
12.8%
Dormant
3,110 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):
461
Verified Followers
1.89% of total
3,624
Protected Accounts
14.86% 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 |
| @ZachBoychuk | 830,527 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SleepSkee | 711,647 | Musician | Music, Independent, Artist |
| @unkonfined | 657,585 | Influencer | - |
| @FashionweekNYC | 574,059 | Fashion Blogger | Fashion, Culture, Runways |
| @champssports | 563,312 | Retailer | sports, sneakers, fashion |
| @Moreno | 430,153 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,066
Followers With Bio
9,325
Followers Without Bio
61.77%
% With Bio
38.23%
% 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 analyzed225,653
Combined Engagement
0
Total Likes
225,653
Total Retweets
45,131
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @TaylorRooks: https://t.co/Gl4ZXJrZNG
RT @SLAMonline: 24 Forever. https://t.co/zj09f5wwU5
RT @DaBabyDaBaby: GOD IS THE GREATEST
RT @cheerylex: i cannot express this enough: u have NO IDEA what other people carry with them everyday. u have no idea what someone's life…
RT @ncaawbb: Muffet McGraw: A voice for women. A voice for women in sports. #WFinalFour | @ndwbb https://t.co/sxsQE3Mt4i
Key Insights & Takeaways
The user frequently collaborates with other athletes and teams, building a network of mutual support and engagement. Their content often includes emotional and motivational messages, which likely drive high engagement. They use hashtags and mentions to increase visibility and connect with their audience effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 30,868
- + 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 @CavinderHaley reveals an well-established Twitter presence with 30,868 followers. The account demonstrates a conversation-first approach, averaging 673.8 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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