70,774
Followers
244
Following
7,929
Tweets
490.0
Avg Engagement
110
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @parisberelc'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:2011-09-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,067
- Avg Likes per Tweet:137.4
- Avg Retweets per Tweet:352.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,067 tweetsThe account has an average of 924 likes and 252 retweets per tweet, showing moderate to high engagement. The content often sparks discussion and debate.
137.4
Avg Likes/Tweet
352.6
Avg Retweets/Tweet
421,550
Total Likes
1,081,292
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
113
Median Likes
25
Median Retweets
266
75th Percentile
127,186
Top Tweet
6.92
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
57.4%
Original
13.9%
Replies
25.7%
Retweets
3.0%
Quotes
0.0%
Threads
1.2%
With Media
50.3%
With Links
22.8%
With #Tags
52.3%
With @Mentions
32.3%
With Emojis
75
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,067 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 788 retweets (26% 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 3,067 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 likely includes fans of celebrities and individuals interested in social justice topics. They may also be drawn to controversial and opinionated content.
Average
Audience Quality
29.2%
Suspicion Index
31.8%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.7%
Empty Bio
36.0%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
65.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
24.8%
<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.
41,614,201
Total Potential Reach
15
Median Follower Reach
91
75th Percentile Reach
3.8%
>1K followers
0.4%
>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).
41.8%
Creators
4,181 accounts
22.2%
Consumers
2,221 accounts
36.0%
Dormant
3,598 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):
37
Verified Followers
0.37% of total
1,517
Protected Accounts
15.17% 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 |
|---|---|---|---|
| @MTV | 17,588,706 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,093,574 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NASCAR | 3,634,547 | Racing | racing, NASCAR, champion |
| @NOH8Campaign | 798,656 | Activism | equality, bullying, discrimination |
| @FashionweekNYC | 574,100 | Fashion Blogger | Fashion, Culture, Runways |
| @THE_THEO_FORD | 474,492 | - | - |
| @Uldouz | 458,189 | Influencer | Women's rights, Charity, Social media |
| @HalloweenDaily | 443,076 | Journalist | - |
| @HaydenSummerall | 377,013 | Entertainer | Singer, Actor, Chocolate Milk |
| @robtswthrayguns | 257,255 | Inventor | synthwave, NFT, NSFW |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,126
Followers With Bio
3,874
Followers Without Bio
61.26%
% With Bio
38.74%
% 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 3,067 analyzed482,683
Combined Engagement
0
Total Likes
482,683
Total Retweets
96,537
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ThaGoldenJet: Will Smith had enough of y’all shit https://t.co/XaN37vOqSs
RT @TheHooperJay_22: this caught me so off guard lmao https://t.co/2fvbd5gLaj
RT @netflix: brb changing my name to Netflib
RT @selenagomez: There are more important things to talk about... Why can't people use their voice for something that fucking matters?
RT @ThislsAmazing: A goodbye kiss in 1950 between a soldier and his love. http://t.co/4Uj15zYfMm
Key Insights & Takeaways
The user frequently comments on celebrity relationships and public figures, suggesting a focus on entertainment and gossip. They use hashtags related to social issues, indicating an interest in raising awareness about human trafficking and similar topics. Their tweets often include links to images, which may be used to support or illustrate their points.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,774
- + 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 @parisberelc reveals an well-established Twitter presence with 70,774 followers. The account demonstrates a content-creator strategy, averaging 490.0 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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