92,766
Followers
532
Following
1,282
Tweets
251.5
Avg Engagement
224
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @scottyarf'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:2012-04-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,208
- Avg Likes per Tweet:174.7
- Avg Retweets per Tweet:76.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,208 tweetsHis tweets receive strong engagement, with an average of 8,223 likes and 516 retweets, indicating a highly interactive audience.
174.7
Avg Likes/Tweet
76.8
Avg Retweets/Tweet
211,041
Total Likes
92,719
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
22
75th Percentile
16,287
Top Tweet
2.71
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
37.4%
Original
32.5%
Replies
26.4%
Retweets
3.6%
Quotes
0.0%
Threads
0.0%
With Media
38.0%
With Links
28.4%
With #Tags
75.2%
With @Mentions
22.6%
With Emojis
74
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.87
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,208 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 319 retweets (26% 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 1,208 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 football, particularly Rangers FC supporters, and general social media users interested in his personal journey.
Average
Audience Quality
28.2%
Suspicion Index
42.9%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.8%
Empty Bio
39.6%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
51.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.6%
No URL
27.0%
<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.
2,772,677
Total Potential Reach
14
Median Follower Reach
73
75th Percentile Reach
2.5%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
34.8%
Creators
3,481 accounts
25.6%
Consumers
2,556 accounts
39.6%
Dormant
3,963 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):
11
Verified Followers
0.11% of total
1,208
Protected Accounts
12.08% of total
4 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 |
|---|---|---|---|
| @DMcIntyreWWE | 1,096,268 | Wrestler | Wrestling, WWE, Raw |
| @JamTarts | 114,487 | Football Club | Football, Heart of Midlothian, Fan-owned |
| @JamieBrysonCPNI | 42,604 | - | - |
| @GaryBlack1970 | 41,238 | - | - |
| @TPTFootball | 38,725 | - | - |
| @darrellcurrietv | 36,877 | - | - |
| @WBorland9 | 30,628 | - | - |
| @ByDougMcIntyre | 26,128 | - | - |
| @VosDave | 23,980 | - | - |
| @Carson1912_ | 19,318 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,118
Followers With Bio
5,882
Followers Without Bio
41.18%
% With Bio
58.82%
% 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 1,208 analyzed59,795
Combined Engagement
40,829
Total Likes
18,966
Total Retweets
11,959
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @fmuamba: Last year today my world nearly ended today i'm alive and loving life. Thank you all for love and support. God bless you all. #stillstanding
🔴⚪️🔵 https://t.co/opEBtw8dAK
Happy new year everyone .. all the best 🙌🏻
Can’t wait for the next chapter in my career at @RangersFC #letsgo https://t.co/cqMhapDmHX
Thanks for the messages troops 🔴⚪️🔵 https://t.co/nlSidDJOWD
Key Insights & Takeaways
His top tweets include a mix of personal milestones and football-related content, suggesting a balance between personal and professional themes. The use of hashtags like #letsgo and references to Rangers FC indicate a strong connection to the football community. His verified status is low, which may suggest a personal rather than a brand or organization account.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,766
- + 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 @scottyarf reveals an well-established Twitter presence with 92,766 followers. The account demonstrates a content-creator strategy, averaging 251.5 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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