Stephen Graham
Actor, Dad and Maker of Scouse (Stew)!
429,666
Followers
304
Following
1,375
Tweets
790.8
Avg Engagement
204
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StephenGraham73'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:2015-08-05
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:1,364
- Avg Likes per Tweet:740.8
- Avg Retweets per Tweet:50.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,364 tweetsHis tweets receive high engagement with an average of 31k likes and 1.3k retweets. The mix of humor and heartfelt content drives interaction.
740.8
Avg Likes/Tweet
50.0
Avg Retweets/Tweet
1,010,430
Total Likes
68,202
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
1
Median Retweets
152
75th Percentile
88,996
Top Tweet
1.84
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
15.7%
Original
56.2%
Replies
17.4%
Retweets
10.8%
Quotes
0.0%
Threads
0.9%
With Media
33.8%
With Links
11.4%
With #Tags
84.1%
With @Mentions
57.6%
With Emojis
78
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.58
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,364 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.
The 237 retweets (17% 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 1,364 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 50,000 followersHis audience includes fans of his acting career, followers of his personal life, and people interested in regional culture. They appreciate his humor and authenticity.
Average
Audience Quality
22.5%
Suspicion Index
32.1%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.9%
Empty Bio
21.1%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
47.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
13.4%
<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.
59,541,608
Total Potential Reach
41
Median Follower Reach
159
75th Percentile Reach
5.2%
>1K followers
0.5%
>10K followers
0.1%
>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).
56.7%
Creators
28,352 accounts
22.2%
Consumers
11,116 accounts
21.1%
Dormant
10,532 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):
620
Verified Followers
0.62% of total
13,331
Protected Accounts
13.33% 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 |
|---|---|---|---|
| @Louis_Tomlinson | 35,700,592 | Singer | Music, Fans, Gratitude |
| @WayneRooney | 17,198,980 | Footballer | Football, Derby County, Charity |
| @JohnCena | 14,104,319 | Wrestler | Wrestling, Motivation, Self-promotion |
| @padillabela | 1,433,625 | - | - |
| @SinghLions | 1,334,823 | Restaurateur | Food, Travel, Influencer |
| @mrjamesob | 1,131,798 | Radio Host | Politics, Radio, Author |
| @NOH8Campaign | 801,660 | Activism | equality, bullying, discrimination |
| @pnjaban | 699,783 | - | - |
| @anniemacmanus | 663,169 | - | - |
| @THE_THEO_FORD | 469,656 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,622
Followers With Bio
49,378
Followers Without Bio
50.62%
% With Bio
49.38%
% 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 1,364 analyzed276,059
Combined Engagement
266,802
Total Likes
9,257
Total Retweets
55,212
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
This incredible, inspirational, woman & the purest heart my mum passed away.Her words as a child “no one is above you and no one is below you all are equal “ have remained with me throughout my life.I feel so honoured and proud to share this with her An OBE for both of us mum
Lockdown locks!!!! 🤪👍🏼 https://t.co/UgkBJykc1V
Thanks for having me 🙏 https://t.co/lOOLYKu6kY
Nothing like a quick dip in the Artic to wake you up!!!!🥶 https://t.co/zqsSghRm8D
No words.....🙏 https://t.co/Lv2yaeHxRW
Key Insights & Takeaways
He blends humor with heartfelt personal stories, creating a unique and relatable persona. His regional pride in Scouse culture adds a distinctive flavor to his content. He effectively uses humor and nostalgia to connect with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 429,666
- + 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 @StephenGraham73 reveals an well-established Twitter presence with 429,666 followers. The account demonstrates a conversation-first approach, averaging 790.8 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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