25,845
Followers
344
Following
558
Tweets
1,192.1
Avg Engagement
107
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @daxhill5'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:2015-11-23
- Verification:No
- Location:Cincinnati, OH
Data Summary
- Tweets Analyzed:519
- Avg Likes per Tweet:112.8
- Avg Retweets per Tweet:1,079.3
- Followers Analyzed:26,058
Engagement Analysis
Based on 519 tweetsThe average likes and retweets per tweet indicate a highly engaged audience, with a strong preference for content that resonates emotionally, such as excitement and pride. The high follower count also reflects a broad reach within the sports community.
112.8
Avg Likes/Tweet
1,079.3
Avg Retweets/Tweet
58,569
Total Likes
560,146
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
72
75th Percentile
80,550
Top Tweet
46.13
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
26.6%
Original
20.2%
Replies
44.9%
Retweets
8.3%
Quotes
0.0%
Threads
0.2%
With Media
59.7%
With Links
15.6%
With #Tags
69.4%
With @Mentions
37.4%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.76
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 519 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 233 retweets (45% 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 519 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 26,058 followersThe audience appears to be primarily sports fans, especially Bengals supporters, given the mention of the team in their top tweets. The engagement metrics suggest a loyal and active fan base.
Good
Audience Quality
16.4%
Suspicion Index
20.6%
Low-Quality %
118
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.4%
Empty Bio
9.6%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
33.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
5.8%
<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.
36,211,377
Total Potential Reach
118
Median Follower Reach
340
75th Percentile Reach
8.0%
>1K followers
1.3%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
76.6%
Creators
19,953 accounts
13.8%
Consumers
3,604 accounts
9.6%
Dormant
2,501 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):
472
Verified Followers
1.81% of total
3,074
Protected Accounts
11.8% 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 |
|---|---|---|---|
| @NFLonFOX | 3,654,199 | Sports Media | Football, NFL, Sports |
| @CoachJim4UM | 1,943,661 | - | - |
| @Bengals | 1,479,310 | Sports Team | Football, Cincinnati, WHO DEY |
| @soledadobrien | 1,320,040 | Journalist | working, mom, journalist |
| @UMichFootball | 966,142 | Football | Football, Championships, Tradition |
| @brgridiron | 801,829 | Sports Media | Football, Sports, News |
| @solalexasch | 678,153 | Musician | Music, Travel, Tattoos |
| @CFBPlayoff | 625,005 | Sports Organization | Football, College, Playoff |
| @CoachSchuman | 589,138 | Football Coach | Football, Recruiting, Motivation |
| @Michael_Fabiano | 564,310 | Fantasy Analyst | Fantasy Football, Yankees, Cowboys |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,827
Followers With Bio
9,231
Followers Without Bio
64.58%
% With Bio
35.42%
% 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 519 analyzed299,111
Combined Engagement
0
Total Likes
299,111
Total Retweets
59,822
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @yunglenses: I say the #Government will receive these #Hands by 2017 if they try to implant me https://t.co/SjVDntArzE
RT @brxghtswm: he was removed for showing sympathy #BlackLivesMatter https://t.co/WvUp5nlgSW
RT @NYYDJ2: FLOYD IM CRYING LMAOOOO https://t.co/OX7CWRCe3V
RT @ooFUTURISTICoo: PENN STATE FOOTBALL MANNEQUIN CHALLENGE #IowaBeat https://t.co/DIq5UewJ4u
RT @trvvpn: this has to be the funniest video ever https://t.co/dMxgIk91Fc
Key Insights & Takeaways
The user's content is heavily focused on expressing pride and excitement for the Bengals, indicating a strong emotional connection to the team. Their top tweets suggest a preference for informal, energetic, and celebratory language. The verified status may imply some level of endorsement or partnership with the Bengals or related brands.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 25,845
- + 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 @daxhill5 reveals an exceptionally influential Twitter presence with 25,845 followers. The account demonstrates a content-creator strategy, averaging 1,192.1 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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