111,971
Followers
3
Following
162
Tweets
4,388.9
Avg Engagement
306
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoeyVotto'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:2020-03-14
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:132
- Avg Likes per Tweet:4,177.5
- Avg Retweets per Tweet:211.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 132 tweetsJoeyVotto's tweets receive an average of 29,614 likes and 1,711 retweets, indicating high audience interaction. His content is well-received and shared frequently.
4,177.5
Avg Likes/Tweet
211.4
Avg Retweets/Tweet
551,431
Total Likes
27,903
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
268
Median Likes
6
Median Retweets
4,513
75th Percentile
89,569
Top Tweet
39.2
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.5%
Original
65.2%
Replies
0.0%
Retweets
11.4%
Quotes
0.0%
Threads
0.0%
With Media
20.5%
With Links
2.3%
With #Tags
58.3%
With @Mentions
11.4%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.77
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.4%
Weekday Posts
13.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 132 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.
Posting Patterns & Optimal Timing
Based on 132 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 audience appears to be fans of baseball and humor, with a strong interest in personal stories and light-hearted content. The audience is likely aged 18-40 and enjoys casual, relatable posts.
Average
Audience Quality
21.3%
Suspicion Index
29.3%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
21.7%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
43.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
14.9%
<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.
21,952,637
Total Potential Reach
44
Median Follower Reach
167
75th Percentile Reach
4.9%
>1K followers
0.6%
>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).
59.2%
Creators
5,921 accounts
19.1%
Consumers
1,910 accounts
21.7%
Dormant
2,169 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):
102
Verified Followers
1.02% of total
1,057
Protected Accounts
10.57% of total
6 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 | 14,092,929 | Wrestler | Wrestling, Motivation, Self-promotion |
| @greggrunberg | 1,187,107 | Actor | ACTOR, WRITER, BANDS |
| @chesscom | 478,976 | Chess Player | Chess, Community, Support |
| @dpshow | 451,180 | Sports broadcaster | Sports, Streaming, Radio |
| @Moreno | 430,940 | Influencer | Business, Manager, Serious |
| @geoff_deweaver | 361,183 | Marketing Expert | Digital Marketing, Strategy, Leadership |
| @BaseballAmerica | 314,823 | Sports Journalism | baseball, coverage, authority |
| @StoolBaseball | 242,469 | Podcasters | Baseball, Podcasting, Sports |
| @ChadPergram | 153,676 | Journalist | Congress, FOX News, Capitol Hill |
| @WhistleSports | 148,632 | Sports Media | Sports, Entertainment, Social Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,624
Followers With Bio
4,376
Followers Without Bio
56.24%
% With Bio
43.76%
% 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 132 analyzed213,014
Combined Engagement
200,263
Total Likes
12,751
Total Retweets
42,603
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
He was like, what’s your name? And I was like, what? He was like, WHAT IS YOUR NAME? I was like, Tony. So I says, WHAT’S YOUR NAME? He goes, Ezekiel. Then something about a fire. I don’t remember—I got hit in the head. https://t.co/mAIt8EaAql
Cincinnati is the third largest city in Ohio (by population). However, it is the coolest city in Ohio per my mom. Happy Opening Day!
On Twitter now, y’all thought I was good at ball. https://t.co/mDk53MaYBU
I didn’t know I was hurt. Thought I just stunk.
Watching Field of Dreams before the game tomorrow. I thought I would share a few thoughts about what the movie and this trip mean to me.
Key Insights & Takeaways
JoeyVotto uses humor and personal stories to connect with his audience. He often references sports and personal experiences, which resonate with his followers. His verified status and follower count suggest a mix of personal and public persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 111,971
- + 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 @JoeyVotto reveals an exceptionally influential Twitter presence with 111,971 followers. The account demonstrates a conversation-first approach, averaging 4,388.9 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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