520,494
Followers
675
Following
24,490
Tweets
352.9
Avg Engagement
264
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @berrynawal'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: Macro Influencer (100K+)
- Account Age:2012-02-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:325.6
- Avg Retweets per Tweet:27.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsTheir tweets receive a high number of likes and retweets, indicating a highly engaged and active follower base.
325.6
Avg Likes/Tweet
27.3
Avg Retweets/Tweet
1,055,179
Total Likes
88,522
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
3
Median Retweets
375
75th Percentile
8,059
Top Tweet
0.68
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
18.6%
Original
46.6%
Replies
13.1%
Retweets
21.7%
Quotes
0.0%
Threads
0.2%
With Media
33.0%
With Links
9.4%
With #Tags
61.2%
With @Mentions
50.7%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.5
Reply/Original Ratio
1.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.3%
Weekday Posts
29.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 423 retweets (13% 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 3,241 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 followersTheir audience appears to be politically aware and interested in current events, particularly in the Middle East region.
Below Average
Audience Quality
37.5%
Suspicion Index
52.4%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.6%
Empty Bio
58.7%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
73.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.4%
No URL
44.2%
<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.
14,544,911
Total Potential Reach
5
Median Follower Reach
28
75th Percentile Reach
1.7%
>1K followers
0.2%
>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).
20.1%
Creators
10,040 accounts
21.2%
Consumers
10,592 accounts
58.7%
Dormant
29,368 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):
136
Verified Followers
0.13% of total
6,052
Protected Accounts
5.99% of total
3 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 |
|---|---|---|---|
| @CyrineAbdlNour | 2,775,361 | Entertainer | Family, Music, Acting |
| @SinghLions | 1,334,969 | Restaurateur | Food, Travel, Influencer |
| @i6fash | 1,084,069 | Influencer | Fashion, Bored, Upset |
| @LeBronJames | 1,005,136 | - | - |
| @Abdul_Alrifaee | 662,969 | Writer | writing, novelist, publishing |
| @alfadguc | 460,274 | Media Personality | media, writer, poet |
| @ramezelkadi | 427,022 | Journalist | News, TV, Anchor |
| @newman_2022 | 361,587 | - | - |
| @KamelAlkhodani | 292,692 | Journalist | journalism, development, rights |
| @joshrogin | 272,832 | Journalist | Foreign policy, National security, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,300
Followers With Bio
58,699
Followers Without Bio
41.88%
% With Bio
58.12%
% 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 3,241 analyzed27,561
Combined Engagement
26,220
Total Likes
1,341
Total Retweets
5,512
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
نغير شوي جو 🙃.. https://t.co/exnPB4CekX
نيالو بدري ضاهر..في الرئيس الجمهورية بضهرو..ما في شي بيخليه حتى يتوقف ليستجوب على انفجار وصف بالاكبر بالعالم بعد هيروشيما..تفيييييييييييه عليكن!!!!
انت مش متلن صح...انت بتشتغل عندن😘
اكسرولنا عينّا واعطونا اسم سياسي واحد بهالبلد..وزير ولا نايب عم يقطعوا عنو الموتور كل الليل بعد ال١٢ ونص النهار ليريحوه بدرجة حرارة ٤٠..الله لا يوفقكن..وتفيه عالعيشة بهالبلد..كنا نقول الله يعين الفقير صرنا نقول الله يعين كل مين عايش بهالبلد.. #الله_لا_يشبعكن
احسن حل لنعيش حياة كريمة بهالبلد..هو انو نهاجر منو..💔💔 #ما_في_أمل
Key Insights & Takeaways
Their content often highlights political dissatisfaction and public frustration with government actions. They use emotional and dramatic language to emphasize their points and provoke reactions. They frequently reference major historical events to draw comparisons and underline the gravity of current issues.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 520,494
- + 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 @berrynawal reveals an well-established Twitter presence with 520,494 followers. The account demonstrates a conversation-first approach, averaging 352.9 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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