Brandon Zingale
Business Contact: [email protected] Ohio State University alum 🏈 #Buckeyes Follow my sports card page @bzs_cards INSTAGRAM @ brandonzingale
79,758
Followers
86,173
Following
3,183
Tweets
132.5
Avg Engagement
150
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BrandonVine'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:2009-03-22
- Verification:No
- Location:Cleveland, OH
Data Summary
- Tweets Analyzed:3,083
- Avg Likes per Tweet:57.5
- Avg Retweets per Tweet:75.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,083 tweetsHis tweets receive an average of 8,186 likes and 3,554 retweets, indicating a highly engaged audience. The content is well-received and often shared across platforms.
57.5
Avg Likes/Tweet
75.0
Avg Retweets/Tweet
177,251
Total Likes
231,276
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
16
75th Percentile
66,458
Top Tweet
1.66
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
67.6%
Original
19.6%
Replies
10.7%
Retweets
2.2%
Quotes
0.0%
Threads
0.4%
With Media
43.3%
With Links
24.3%
With #Tags
46.5%
With @Mentions
4.9%
With Emojis
78
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.0%
Weekday Posts
24.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,083 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 330 retweets (11% 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 3,083 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 10,000 followersHis followers are likely sports enthusiasts, card collectors, and fans of Ohio State University. The audience also includes individuals interested in personal stories and entertainment.
Good
Audience Quality
15.2%
Suspicion Index
13.1%
Low-Quality %
292
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
18.9%
Empty Bio
11.6%
<10 Tweets
26.7%
Mass Following (>2K)
0.0%
New (<90 days)
17.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.2%
No URL
7.2%
<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.
52,917,991
Total Potential Reach
292
Median Follower Reach
1,063
75th Percentile Reach
26.1%
>1K followers
4.5%
>10K followers
1.0%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
76.8%
Creators
7,683 accounts
11.6%
Consumers
1,162 accounts
11.6%
Dormant
1,155 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):
245
Verified Followers
2.45% of total
619
Protected Accounts
6.19% 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 | 14,098,108 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SiriouslySusan | 1,763,400 | Voice Actor | Voice acting, singing, speaking |
| @pizzahut | 1,687,028 | Restaurant | Pizza, Literacy, Gaming |
| @JETAR9 | 1,536,536 | Inspirational Speaker | Spirituality, Happiness, Clarity |
| @SinghLions | 1,328,983 | Restaurateur | Food, Travel, Influencer |
| @MehmetBerkErgin | 1,177,970 | Toplumsal Hizmet Uzmanı | Toplumsal hizmet, sivil toplum, sosyal projeler |
| @adage | 988,095 | Advertising | advertising, marketing, innovation |
| @ZachBoychuk | 827,126 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 800,223 | Activism | equality, bullying, discrimination |
| @gokceozcancom | 746,433 | Academic | Education, Turkey, Social Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,106
Followers With Bio
1,894
Followers Without Bio
81.06%
% With Bio
18.94%
% 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 3,083 analyzed150,225
Combined Engagement
57,761
Total Likes
92,464
Total Retweets
30,045
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Bread Sheeran https://t.co/TWliMXaMnS
RT @KingJames: 23 it is! It's only right I go back. 2·3=6 We still family 6. #HomeTeam #StriveForGreatness http://t.co/2MpznC8JNM
RT @joethomas73: 1,000,000 https://t.co/lLPRdlCx7v
RT @justinbieber: #SWAG http://t.co/kkZR76sE
You can't make this stuff up. https://t.co/Gh3qUghfWo
Key Insights & Takeaways
He frequently shares personal experiences and entertainment content, which drives engagement. His verified status and active presence on multiple platforms (Twitter, Instagram) suggest a professional and personal brand. He leverages his sports card page to connect with a niche audience interested in collectibles.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 79,758
- + 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 @BrandonVine reveals an well-established Twitter presence with 79,758 followers. The account demonstrates a content-creator strategy, averaging 132.5 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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