55,328
Followers
1,234
Following
3,213
Tweets
765.4
Avg Engagement
137
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ianharte23'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:2012-07-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,038
- Avg Likes per Tweet:105.8
- Avg Retweets per Tweet:659.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,038 tweetsIan Harte's tweets receive a high level of engagement, with an average of 4,463 likes and 914 retweets per tweet. This indicates a strong and active community around his content.
105.8
Avg Likes/Tweet
659.6
Avg Retweets/Tweet
321,420
Total Likes
2,003,918
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
4
Median Retweets
86
75th Percentile
471,604
Top Tweet
13.83
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
38.9%
Original
8.1%
Replies
28.9%
Retweets
24.1%
Quotes
0.0%
Threads
0.1%
With Media
55.6%
With Links
26.8%
With #Tags
69.2%
With @Mentions
46.3%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.83
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.6%
Weekday Posts
34.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,038 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 878 retweets (29% 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 3,038 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 primarily football fans, especially those following Leeds United and related teams. The audience is likely interested in sports news, player updates, and community support.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
100.0%
<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.
11,882,845
Total Potential Reach
82
Median Follower Reach
283
75th Percentile Reach
8.3%
>1K followers
1.0%
>10K followers
0.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,038
Protected Accounts
10.38% 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 |
|---|---|---|---|
| @David_Ornstein | 2,286,752 | Football Correspondent | - |
| @Robbie9Fowler | 1,157,939 | Footballer | Football, Nike, Podcasts |
| @IamMzilikazi | 555,068 | Musician | Pan-African music, Album, Rise |
| @SamWallaceTel | 400,867 | Sports Journalist | football, writing, newspapers |
| @Nick28T | 379,278 | Gamer | Family, LUFC, Porsche |
| @KayaJones | 375,252 | Singer | Music, Entrepreneurship, Social Media |
| @MiguelDelaney | 215,325 | Sports Journalist | Football, Journalism, Ireland |
| @BeWarmers | 196,152 | Sports Media | Sports, Entertainment, TikTok |
| @MrsBrownsBoys | 185,198 | Comedy | comedy, tour, merchandise |
| @AdamJSmithy | 154,889 | Presenter | TV, Radio, Events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,701
Followers With Bio
4,299
Followers Without Bio
57.01%
% With Bio
42.99%
% 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 3,038 analyzed1,197,853
Combined Engagement
0
Total Likes
1,197,853
Total Retweets
239,571
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @JKCorden: Oh my god. This is just sensational. Please watch and retweet. https://t.co/ackPHwAUce
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @AGT: It looks like @Kodileerocks just proved to the world that talent is limitless! #AGTPremiere https://t.co/a6MhFICxGq
RT @ChapecoenseReal: Que essa seja a última imagem dos nosso guerreiros. #ForçaChape https://t.co/Q1ZxF5h4sV
RT @GaryLineker: YES! If Leicester win the @premierleague I'll do the first MOTD of next season in just my undies.
Key Insights & Takeaways
His tweets often include personal reactions and celebrations, showing a passionate and emotional connection to football. He frequently acknowledges medical teams and individuals, indicating a focus on gratitude and community support. His use of hashtags and links suggests an effort to engage with a broader audience and share relevant content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55,328
- + 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 @ianharte23 reveals an well-established Twitter presence with 55,328 followers. The account demonstrates a content-creator strategy, averaging 765.4 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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