10,274
Followers
165
Following
405
Tweets
165.9
Avg Engagement
43
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VildeBoeRisa'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:2012-04-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:390
- Avg Likes per Tweet:69.1
- Avg Retweets per Tweet:96.8
- Followers Analyzed:9,327
Engagement Analysis
Based on 390 tweetsThe account has a high average number of likes and moderate retweets, indicating strong audience interaction and interest in the content.
69.1
Avg Likes/Tweet
96.8
Avg Retweets/Tweet
26,943
Total Likes
37,759
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
15
75th Percentile
9,389
Top Tweet
16.15
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
32.6%
Original
35.1%
Replies
27.2%
Retweets
5.1%
Quotes
0.0%
Threads
0.0%
With Media
27.7%
With Links
16.9%
With #Tags
67.9%
With @Mentions
39.0%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.08
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 390 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 106 retweets (27% 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 390 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 9,327 followersThe audience appears to be interested in sports, events, and positive interactions. The engagement metrics suggest a loyal and active follower base.
Average
Audience Quality
24.2%
Suspicion Index
22.5%
Low-Quality %
73
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.1%
Empty Bio
20.5%
<10 Tweets
21.0%
Mass Following (>2K)
0.0%
New (<90 days)
52.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
13.0%
<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.
54,383,469
Total Potential Reach
73
Median Follower Reach
267
75th Percentile Reach
9.0%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.4%
Creators
5,541 accounts
20.1%
Consumers
1,871 accounts
20.5%
Dormant
1,915 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):
85
Verified Followers
0.91% of total
844
Protected Accounts
9.05% of total
5 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 |
|---|---|---|---|
| @ManUtd | 35,590,622 | Sports Team | Football, Manchester, United |
| @adidasfootball | 4,046,317 | Sports Brand | Sport, Change, Power |
| @UnitedStandMUFC | 1,913,234 | Fan Channel | Manchester United, Global Fanbase, Latest News |
| @ManUtdMEN | 1,618,408 | Sports Journalist | Football, Manchester United, News |
| @ManUtd_ID | 1,127,675 | Football Club | Football, Manchester United, Indonesia |
| @FIFAWWC | 964,265 | Sports Media | Soccer, Women's sports, FIFA |
| @UtdDistrict | 739,694 | Sports Journalist | Football, Manchester United, Coverage |
| @Moreno | 430,153 | Influencer | Business, Manager, Serious |
| @ManUtdWomen | 388,387 | Sports Team | Football, Women's sports, Activism |
| @MU_Foundation | 384,046 | Charity | Football, Charity, Young People |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,332
Followers With Bio
2,995
Followers Without Bio
67.89%
% With Bio
32.11%
% 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 390 analyzed31,080
Combined Engagement
6,604
Total Likes
24,476
Total Retweets
6,216
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @TheEllenShow: Today we lost the world's greatest advocate for peace and change. Nelson Mandela was a hero to so many. Rest in peace.
RT @TheEllenShow: How does NASA organize a birthday party? They planet. #ClassicJokeWednesday
RT @TheEllenShow: Happy #ThrowbackThursday http://t.co/yGvKx2mO2R
Wow.. that’s quite cool that 🤩🤟🏼 https://t.co/NSKrbXVgO5
Oh hello Old Trafford 👋🏼 https://t.co/ednTxF0lMG
Key Insights & Takeaways
The user frequently shares exciting and positive moments, which likely drive engagement. The content often includes links, suggesting a focus on sharing experiences or events. The verified status is low, which may indicate the account is not an official or well-known entity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,274
- + 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 @VildeBoeRisa reveals an well-established Twitter presence with 10,274 followers. The account demonstrates a conversation-first approach, averaging 165.9 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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