TeaWap
World Class Human Believe in Allah SWTأمير
67,227
Followers
1,394
Following
1,026
Tweets
173.4
Avg Engagement
22
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TeaWap'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:2016-05-31
- Verification:No
- Location:Somewhere in Kébek
Data Summary
- Tweets Analyzed:863
- Avg Likes per Tweet:31.1
- Avg Retweets per Tweet:142.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 863 tweetsTeaWap's tweets typically receive an average of 759 likes and 20 retweets, indicating a strong and active engagement from their followers. Their content is well-received and often shared within their community.
31.1
Avg Likes/Tweet
142.2
Avg Retweets/Tweet
26,852
Total Likes
122,750
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
20
75th Percentile
116,225
Top Tweet
2.58
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
14.7%
Original
81.8%
Replies
1.9%
Retweets
1.6%
Quotes
0.0%
Threads
0.1%
With Media
16.9%
With Links
0.6%
With #Tags
82.2%
With @Mentions
11.8%
With Emojis
45
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.56
Reply/Original Ratio
0.88
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 863 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 16 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 863 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 followersThe audience primarily consists of young adults and teenagers who enjoy memes, internet humor, and pop culture references. They are also interested in religious content and discussions.
Average
Audience Quality
24.7%
Suspicion Index
27.7%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
27.9%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.0%
No URL
17.3%
<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.
34,519,062
Total Potential Reach
21
Median Follower Reach
107
75th Percentile Reach
6.1%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
47.1%
Creators
4,714 accounts
24.9%
Consumers
2,491 accounts
27.9%
Dormant
2,795 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):
192
Verified Followers
1.92% of total
836
Protected Accounts
8.36% 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 | 14,093,775 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Skeppy | 2,141,618 | Gamer | Minecraft, Gaming, Comedy |
| @Mongraal | 2,130,026 | Professional Gamer | Fortnite, FaZe Clan, Pro |
| @Calfreezy | 1,953,341 | Influencer | Gaming, Football, Vlogging |
| @SinghLions | 1,328,348 | Restaurateur | Food, Travel, Influencer |
| @MattWallace888 | 1,092,473 | YouTuber | Crypto, Dogecoin, YouTube |
| @AnEsonGib | 970,717 | YouTuber | Gaming, Fitness, Comedy |
| @ZachBoychuk | 826,374 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @TrungTPhan | 656,088 | Writer | business, tech, podcast |
| @aliciagrimes71 | 494,575 | Influencer | Youtube influencers, Music, Magazine |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,198
Followers With Bio
3,802
Followers Without Bio
61.98%
% With Bio
38.02%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 863 analyzed126,781
Combined Engagement
4,611
Total Likes
122,170
Total Retweets
25,356
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: If you scare people enough, they will demand removal of freedom. This is the path to tyranny.
Going through old edits found this https://t.co/PD3zSO7ySq
RT @KyrieIrving: My faith in God gets stronger every day. How can I fail?
RT @BadouJack: Very sad what’s happening in Ukraine. But please keep the same energy with Palestine. Good night ✌🏾
https://t.co/MR3cUtZ02c
Key Insights & Takeaways
TeaWap's content often includes humorous and satirical takes on current events and internet trends. They frequently reference pop culture, such as MrBeast, which resonates with their audience. Their use of memes and viral content helps maintain high engagement levels.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,227
- + 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 @TeaWap reveals an well-established Twitter presence with 67,227 followers. The account demonstrates a conversation-first approach, averaging 173.4 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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