Tom Davis
HELLO 😬 @instagram MRBIGTOMD #COYI ⚒
88,474
Followers
2,242
Following
48,423
Tweets
420.9
Avg Engagement
145
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BigTomD'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:2009-09-24
- Verification:No
- Location:LONDON
Data Summary
- Tweets Analyzed:3,185
- Avg Likes per Tweet:74.3
- Avg Retweets per Tweet:346.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,185 tweetsHis tweets typically receive a high number of likes and retweets, indicating a strong level of audience interaction. The content often provokes emotional responses and debate.
74.3
Avg Likes/Tweet
346.6
Avg Retweets/Tweet
236,800
Total Likes
1,103,805
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
54
75th Percentile
161,633
Top Tweet
4.76
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
19.5%
Original
40.2%
Replies
24.3%
Retweets
16.0%
Quotes
0.0%
Threads
0.1%
With Media
44.5%
With Links
17.3%
With #Tags
77.5%
With @Mentions
23.6%
With Emojis
98
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.07
Reply/Original Ratio
0.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,185 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 775 retweets (24% 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 3,185 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 followers likely include individuals interested in controversial topics, social commentary, and personal stories. The audience may also be drawn to his candid and sometimes confrontational style.
Average
Audience Quality
20.8%
Suspicion Index
30.4%
Low-Quality %
62
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.0%
Empty Bio
18.2%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
41.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
11.7%
<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.
8,549,426
Total Potential Reach
62
Median Follower Reach
212
75th Percentile Reach
6.7%
>1K followers
1.1%
>10K followers
0.2%
>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).
63.9%
Creators
6,389 accounts
17.9%
Consumers
1,789 accounts
18.2%
Dormant
1,822 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):
42
Verified Followers
0.42% of total
1,306
Protected Accounts
13.06% 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 |
|---|---|---|---|
| @NHSuk | 605,252 | Healthcare | Healthcare, England, Official |
| @MicahRichards | 571,786 | Pundit | Football, punditry, writing |
| @FootballManager | 445,664 | Video Game Developer | Football, Gaming, Future |
| @vizcomic | 325,800 | Satirist | satire, humor, comics |
| @FFScout | 299,866 | Fantasy Football | Fantasy Football, FPL, Content |
| @BeefGolf | 173,877 | Golfer | Golf, Normal, Geezer |
| @grahamcoxon | 168,189 | Musician | Music, Superstate, Album |
| @JoeMarler | 148,448 | - | - |
| @SocialistNHS | 131,756 | - | - |
| @StoolFootball | 123,145 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,099
Followers With Bio
4,901
Followers Without Bio
50.99%
% With Bio
49.01%
% 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 3,185 analyzed365,920
Combined Engagement
0
Total Likes
365,920
Total Retweets
73,184
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MarcusRashford: https://t.co/bs9lksGM4q
RT @MarcusRashford: We aren’t beaten yet, stand strong for the 200,000 children who haven’t had a meal to eat today and keep retweeting 🗣 #maketheUturn
RT @Unnamedinsider: This video of cops accidentally arresting an FBI agent is amazing.... https://t.co/4esFIDzxsy
RT @WhereDaYakAt: Lmao this lady on Telemundo be slapping the shit outta people https://t.co/MzjGzb4ekE
RT @AngieMaxwell1: Two weeks ago, I had four precious 12-year-old girls, including my daughter, with me at the county fair. They were getting blue Icees and corndogs for the walk to the car and ride home. (1/21)
Key Insights & Takeaways
His content often blends humor with serious social commentary, which can attract a wide range of reactions. He frequently uses personal anecdotes to highlight broader societal issues, which can create a sense of connection with his audience. His verified status is low, suggesting that his account may not be officially endorsed by any brand or entity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 88,474
- + 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 @BigTomD reveals an well-established Twitter presence with 88,474 followers. The account demonstrates a conversation-first approach, averaging 420.9 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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