T20 World Cup
Official account of the ICC T20 World Cup. #T20WorldCup
1,124,043
Followers
1,079
Following
8,434
Tweets
671.4
Avg Engagement
676
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @T20WorldCup'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: Mega Influencer (1M+)
- Account Age:2018-04-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:616.9
- Avg Retweets per Tweet:54.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsThe account consistently receives high engagement, with an average of 29,981 likes and 2,386 retweets per tweet. This suggests a highly interactive and interested audience.
616.9
Avg Likes/Tweet
54.4
Avg Retweets/Tweet
1,974,171
Total Likes
174,157
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
219
Median Likes
14
Median Retweets
476
75th Percentile
77,171
Top Tweet
0.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
97.3%
Original
0.2%
Replies
1.9%
Retweets
0.7%
Quotes
0.0%
Threads
0.1%
With Media
95.9%
With Links
95.2%
With #Tags
11.5%
With @Mentions
84.0%
With Emojis
160
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 60 retweets (2% 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 3,200 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 followersThe audience is primarily sports fans, cricket enthusiasts, and followers of the T20 World Cup. They are interested in real-time updates, match highlights, and player performances.
Poor
Audience Quality
51.4%
Suspicion Index
83.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
87.2%
Empty Bio
91.4%
<10 Tweets
0.2%
Mass Following (>2K)
0.0%
New (<90 days)
93.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.4%
No URL
79.1%
<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.
891,966
Total Potential Reach
1
Median Follower Reach
2
75th Percentile Reach
0.1%
>1K followers
0.0%
>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).
1.9%
Creators
928 accounts
6.8%
Consumers
3,384 accounts
91.4%
Dormant
45,688 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):
33
Verified Followers
0.03% of total
11,892
Protected Accounts
11.77% of total
1 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 |
|---|---|---|---|
| @IamMzilikazi | 544,683 | Musician | Pan-African music, Album, Rise |
| @mrchrisaddison | 377,533 | Comedian | Spy, Ex-spy, Comedy |
| @tayyabrajaa | 114,379 | Influencer | - |
| @WomensHealthSA | 92,750 | Healthcare | health, wellness, fitness |
| @sboshmafu | 54,017 | Radio Host | Wine, Television, Sport |
| @yupptv | 43,696 | Media Streaming | Indian TV, Content, Channels |
| @geordinhl | 40,330 | - | - |
| @AvinashArya09 | 39,981 | - | - |
| @chrislintott | 37,777 | - | - |
| @supriyapd | 33,189 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,668
Followers With Bio
85,330
Followers Without Bio
15.51%
% With Bio
84.49%
% 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 3,200 analyzed256,888
Combined Engagement
240,130
Total Likes
16,758
Total Retweets
51,378
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
The KING is back 👑 Take a bow, Virat Kohli 🙌 #T20WorldCup | #INDvPAK https://t.co/5aCOCF6JIS
Selfie time 😁🤳 #T20WorldCup https://t.co/gHTgKnlS48
See you soon in Australia ✈️ https://t.co/r7SCbdvfet
The Badshah 👑 How will Pakistan fare in #T20WorldCup 2022 under Babar Azam’s rule? https://t.co/TdXvOsXq90
The BIG TIME is coming! 👀 #T20WorldCup https://t.co/iDA8VV6X3b
Key Insights & Takeaways
The account frequently highlights key players like Virat Kohli, indicating a focus on star performers. It uses hashtags like #T20WorldCup to increase visibility and engagement. Promotional content and match predictions are common, suggesting a strategy to drive interest and conversation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,124,043
- + 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 @T20WorldCup reveals an well-established Twitter presence with 1,124,043 followers. The account demonstrates a content-creator strategy, averaging 671.4 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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