Wonderwall
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67.279
Followers
1.842
Following
61.033
Tweets
25,1
Avg Engagement
638
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Wonderwall'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:2009-02-05
- Verification:No
- Location:USA
Data Summary
- Tweets Analyzed:3.199
- Avg Likes per Tweet:0,7
- Avg Retweets per Tweet:24,4
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.199 tweetsThe account has a moderate engagement rate, with an average of 92 likes and 17 retweets per tweet. The engagement appears to be consistent across the account's tweets.
0,7
Avg Likes/Tweet
24,4
Avg Retweets/Tweet
2.272
Total Likes
78.151
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
33.628
Top Tweet
0,37
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
98,8%
Original
0,0%
Replies
0,9%
Retweets
0,2%
Quotes
0,0%
Threads
8,2%
With Media
98,5%
With Links
36,1%
With #Tags
1,1%
With @Mentions
0,2%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,0
Reply/Original Ratio
0,24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,9%
Weekday Posts
24,1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.199 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 29 retweets (1% 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 3.199 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 is likely fans of celebrities and entertainment news seekers. They are interested in exclusive content and real-time updates on celebrity activities.
Below Average
Audience Quality
42,5%
Suspicion Index
58,6%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61,5%
Empty Bio
70,3%
<10 Tweets
6,8%
Mass Following (>2K)
0,0%
New (<90 days)
82,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,8%
No URL
55,6%
<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.
22.364.711
Total Potential Reach
3
Median Follower Reach
14
75th Percentile Reach
2,0%
>1K followers
0,5%
>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).
15,4%
Creators
1.542 accounts
14,3%
Consumers
1.431 accounts
70,3%
Dormant
7.027 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):
23
Verified Followers
0.23% of total
630
Protected Accounts
6.3% of total
6 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 | 14.094.138 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1.810.337 | DJ | Music, DJing, Booking |
| @ZachBoychuk | 826.269 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @JacLaurita | 756.061 | Health Coach | Mother, Autism Advocate, Health Coach |
| @solalexasch | 680.857 | Musician | Music, Travel, Tattoos |
| @EmblemThree | 666.192 | Musician | Music, Band, Business |
| @iamscottpage | 395.717 | Musician | music, technology, business |
| @IamCvind | 255.192 | Musicians | Music, Parenting, Marketing |
| @Yubbie007 | 255.113 | Influencer | Fashion, Cool, Culture |
| @rympleprodns | 197.921 | Multimedia Production | Art, Multimedia, Imagination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3.847
Followers With Bio
6.153
Followers Without Bio
38.47%
% With Bio
61.53%
% 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 3.199 analyzed68.527
Combined Engagement
0
Total Likes
68.527
Total Retweets
13.705
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @MarkRuffalo: This is his power and impact on the next generation. #ChadwickForever https://t.co/uzwaNOt8M0
RT @elonmusk: Starbase, Texas https://t.co/mt4IpqqmjF
RT @cruella: Hello, Cruel World. New Trailer Tomorrow. https://t.co/UpOkEX07M7
RT @RecordingAcad: Congrats Best Song Written For Visual Media winner - 'NO TIME TO DIE [FROM NO TIME TO DIE]' @billieeilish and @finneas ✨ #GRAMMYs WATCH NOW ⬇️––#GRAMMYPremiere https://t.co/RxyLdKiyPX https://t.co/sIqomD7cCa
RT @chrissyteigen: Stanley Tucci is such a rare gem of a man.
Key Insights & Takeaways
The account frequently shares celebrity birthdays and milestones, which likely attract a wide audience. It highlights major events and personal moments of celebrities, such as PDA and charity runs, to generate interest. The use of links suggests the account aims to drive traffic to external content or articles.
Strengths
- + Established follower base of 67.279
- + 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 @Wonderwall reveals an growing Twitter presence with 67.279 followers. The account demonstrates a content-creator strategy, averaging 25,1 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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