Tom Adwar
KINGS; Make sure everyday you know what matters the most.
59,762
Followers
1,323
Following
31,667
Tweets
75.4
Avg Engagement
30
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tom_adwar'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:2019-08-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:59.3
- Avg Retweets per Tweet:16.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsTom Adwar's tweets receive a high average number of likes and retweets, indicating strong audience interaction. His content resonates with followers who are active in engaging with and sharing his posts.
59.3
Avg Likes/Tweet
16.0
Avg Retweets/Tweet
192,242
Total Likes
51,953
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
4
75th Percentile
14,709
Top Tweet
1.26
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
6.1%
Original
93.3%
Replies
0.1%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
3.3%
With Links
0.2%
With #Tags
93.2%
With @Mentions
21.9%
With Emojis
48
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
15.35
Reply/Original Ratio
9.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.9%
Weekday Posts
34.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 2 retweets (0% 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 3,240 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 men interested in discussions about relationships, gender roles, and personal experiences. The engagement suggests a community that values open dialogue and debate.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
51
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)
93.0%
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.
7,779,197
Total Potential Reach
51
Median Follower Reach
259
75th Percentile Reach
8.6%
>1K followers
0.8%
>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).
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
304
Protected Accounts
3.04% of total
2 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 |
|---|---|---|---|
| @solalexasch | 679,519 | Musician | Music, Travel, Tattoos |
| @h_z_h_i | 307,286 | - | - |
| @AzziadNasenya | 281,910 | Actor | Acting, Content Creation, Radio Presentation |
| @MrBlackOG | 259,205 | Influencer | Messi, Barcelona, Man City |
| @AnthoniaOrji | 256,293 | - | - |
| @karothk256 | 169,385 | - | - |
| @jessykigen | 150,509 | Researcher | Research, Film, Vegan |
| @OLANREFRONT247 | 138,730 | - | - |
| @Noon_Group | 103,281 | Event Planner | events, sound equipment, decorations |
| @254_icon | 100,836 | Activist | Music, Fashion, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,266
Followers With Bio
4,734
Followers Without Bio
52.66%
% With Bio
47.34%
% 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 3,240 analyzed41,766
Combined Engagement
28,792
Total Likes
12,974
Total Retweets
8,353
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Things men find Unattractive in women. Men speak Out!
RT @ManCity: And your @premierleague champions... Manchester City! 🥇 https://t.co/yGepxj7JTE
Men let’s have a short conversation. What would make you ghost a lady that you were so interested in?
Being in a relationship with another man's baby mama yet there are so many decent women with no kids is a scarcity mindset.
The biggest scam ever pulled was to claim Cristiano Ronaldo was the problem at Manchester United. https://t.co/VUjseZLULN
Key Insights & Takeaways
Focuses on men's perspectives in relationships and societal norms Addresses issues like gender dynamics and personal experiences Engages with topics that spark debate and discussion among followers
Strengths
- + Established follower base of 59,762
- + 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 @tom_adwar reveals an growing Twitter presence with 59,762 followers. The account demonstrates a conversation-first approach, averaging 75.4 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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