Jeremiah Smith ✞
Not One Of Those.
17,349
Followers
2,192
Following
1,159
Tweets
202.7
Avg Engagement
41
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Jermiah_Smith1'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:2020-10-30
- Verification:No
- Location:Dade county
Data Summary
- Tweets Analyzed:950
- Avg Likes per Tweet:169.4
- Avg Retweets per Tweet:33.3
- Followers Analyzed:12,231
Engagement Analysis
Based on 950 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
169.4
Avg Likes/Tweet
33.3
Avg Retweets/Tweet
160,925
Total Likes
31,599
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
13
Median Retweets
124
75th Percentile
6,706
Top Tweet
11.68
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
21.5%
Original
12.2%
Replies
53.9%
Retweets
12.4%
Quotes
0.0%
Threads
0.0%
With Media
74.9%
With Links
23.4%
With #Tags
75.1%
With @Mentions
50.2%
With Emojis
119
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 950 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 512 retweets (54% 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 950 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 12,231 followersHis audience appears to be primarily interested in personal milestones and community engagement, with a focus on sports and local pride.
Good
Audience Quality
17.2%
Suspicion Index
16.9%
Low-Quality %
157
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.9%
Empty Bio
11.8%
<10 Tweets
21.4%
Mass Following (>2K)
0.0%
New (<90 days)
29.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.5%
No URL
6.9%
<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.
56,887,494
Total Potential Reach
157
Median Follower Reach
529
75th Percentile Reach
16.9%
>1K followers
5.5%
>10K followers
1.0%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.6%
Creators
8,517 accounts
18.6%
Consumers
2,270 accounts
11.8%
Dormant
1,444 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):
291
Verified Followers
2.38% of total
885
Protected Accounts
7.24% 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 | 14,106,683 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,224 | - | - |
| @GeorgiaFootball | 1,107,157 | Football Team | Football, Georgia, Commitment |
| @ClemsonFB | 1,037,616 | Football Team | Football, National Champs, Tigers |
| @LeBronJames | 1,006,960 | - | - |
| @Vol_Football | 765,754 | Sports Team | Football, Championships, GBO |
| @OhioStateFB | 653,027 | Football | Football, Ohio State, Championships |
| @Lane_Kiffin | 630,116 | Coach | Football, Coaching, Ole Miss |
| @CoachSchuman | 589,455 | Football Coach | Football, Recruiting, Motivation |
| @Cantguardmike | 498,443 | Athlete | Football, Faith, New Orleans Saints |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,939
Followers With Bio
3,292
Followers Without Bio
73.08%
% With Bio
26.92%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 950 analyzed22,052
Combined Engagement
20,601
Total Likes
1,451
Total Retweets
4,410
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Home🌰 https://t.co/x4dqIQSkdg
Buckeye fans what y’all thinking?👀 https://t.co/ItSq7bqDeX
Really worked for this💯 #Blessed🙏🏾 https://t.co/4yDNAuCVlF
😏 https://t.co/zv7QKoJnGG
I’ll be home April 14-15 😁 #Gobuckeys🌰 https://t.co/zWgA2jUmXg
Key Insights & Takeaways
He frequently shares personal achievements and gratitude, which likely drives engagement. His content often includes local and community references, suggesting a strong connection to his audience. He uses hashtags and links to enhance the reach and context of his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 17,349
- + 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 @Jermiah_Smith1 reveals an well-established Twitter presence with 17,349 followers. The account demonstrates a content-creator strategy, averaging 202.7 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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