Tom Moody
Former cricketer now coach, commentator & administrator.
480,589
Followers
675
Following
7,454
Tweets
473.4
Avg Engagement
930
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TomMoodyCricket'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:2011-08-08
- Verification:No
- Location:Globe
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:411.0
- Avg Retweets per Tweet:62.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal and active following.
411.0
Avg Likes/Tweet
62.3
Avg Retweets/Tweet
1,335,032
Total Likes
202,442
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
5
Median Retweets
277
75th Percentile
26,580
Top Tweet
0.98
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
48.3%
Original
30.6%
Replies
12.4%
Retweets
8.6%
Quotes
0.0%
Threads
0.2%
With Media
27.1%
With Links
59.8%
With #Tags
72.3%
With @Mentions
15.2%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.8%
Weekday Posts
35.2%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,248 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 404 retweets (12% 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 3,248 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 primarily consists of cricket enthusiasts and followers of the sport. The content appeals to both casual fans and dedicated followers of cricket.
Average
Audience Quality
33.7%
Suspicion Index
34.7%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
40.6%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
84.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
24.4%
<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.
43,361,784
Total Potential Reach
10
Median Follower Reach
40
75th Percentile Reach
1.4%
>1K followers
0.1%
>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).
30.5%
Creators
15,243 accounts
28.9%
Consumers
14,469 accounts
40.6%
Dormant
20,288 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):
211
Verified Followers
0.21% of total
6,638
Protected Accounts
6.57% 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 |
|---|---|---|---|
| @JohnCena | 14,104,918 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ashwinravi99 | 11,000,944 | Cricketer | Cricket, Sarcasm, Optimism |
| @ESPNcricinfo | 7,081,278 | Sports News | Cricket, Scores, App |
| @SunRisers | 3,188,525 | Cricket Team | Cricket, IPL, Instagram |
| @waqyounis99 | 2,272,031 | Cricketer | Cricket, Coaching, Fast Bowling |
| @KumarSanga2 | 1,648,507 | Cricketer | Cricket, Instagram, Left-hander |
| @FakharZamanLive | 1,406,133 | Cricketer | Cricket, Pakistan, Sports |
| @SinghLions | 1,334,892 | Restaurateur | Food, Travel, Influencer |
| @WasimJaffer14 | 1,221,995 | Cricketer | Cricket, India, Proud Indian |
| @Swannyg66 | 920,488 | Commentator | Cricket, Commentating, Speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,767
Followers With Bio
42,231
Followers Without Bio
58.19%
% With Bio
41.81%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed112,228
Combined Engagement
81,635
Total Likes
30,593
Total Retweets
22,446
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
RT @SkyCricket: "Until we educate the entire human race, this thing will not stop." Michael Holding delivers a powerful message, explaini…
No words can describe, Warnie was beyond the stars. A once in a lifetime entertainer, made our game magical. #RIP #ShaneWarne
Good to see the ODI series get started in Rawalpindi, Pakistan. #PakvEng
What a 💯 @ImRo45, in conditions which have provided a complete examination of skill and temperament. #INDvsAUS 👏🏼
Hardik Pandya was named MOM, top innings but T. Natarajan 2/20 when a team makes 194 was the match winning performance in my view. #AUSvIND
Key Insights & Takeaways
He frequently pays tribute to legendary players like Shane Warne, showing respect and nostalgia for the sport's history. He covers major international matches and series, keeping his audience updated on key events. He highlights standout performances, often praising players for their skill and temperament in challenging conditions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 480,589
- + 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 @TomMoodyCricket reveals an well-established Twitter presence with 480,589 followers. The account demonstrates a content-creator strategy, averaging 473.4 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access