Nazia Jabeen
Works in Provincial Disaster Management Authority , Punjab
24,903
Followers
722
Following
14,278
Tweets
557.8
Avg Engagement
17
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NazeeaJabeen'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:2017-05-14
- Verification:No
- Location:Lahore, Pakistan
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:53.0
- Avg Retweets per Tweet:504.8
- Followers Analyzed:24,995
Engagement Analysis
Based on 599 tweetsHer tweets receive consistent likes and retweets, indicating a loyal and engaged audience. The average engagement suggests her content is relevant and well-received.
53.0
Avg Likes/Tweet
504.8
Avg Retweets/Tweet
31,729
Total Likes
302,383
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
75
75th Percentile
96,741
Top Tweet
22.4
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
40.1%
Original
40.6%
Replies
16.4%
Retweets
3.0%
Quotes
0.0%
Threads
0.0%
With Media
27.7%
With Links
12.2%
With #Tags
57.9%
With @Mentions
28.7%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 98 retweets (16% 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 599 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 24,995 followersHer audience includes professionals in disaster management and public sector workers. They are likely interested in policy, governance, and community resilience.
Average
Audience Quality
24.0%
Suspicion Index
19.5%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
13.2%
<10 Tweets
29.0%
Mass Following (>2K)
0.0%
New (<90 days)
50.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
6.7%
<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.
50,872,922
Total Potential Reach
92
Median Follower Reach
323
75th Percentile Reach
9.7%
>1K followers
1.4%
>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).
66.8%
Creators
16,687 accounts
20.1%
Consumers
5,018 accounts
13.2%
Dormant
3,290 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):
278
Verified Followers
1.11% of total
1,868
Protected Accounts
7.47% 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 |
|---|---|---|---|
| @ARYSabirShakir | 2,988,226 | Journalist | Journalism, News, Hosting |
| @benlandis | 2,852,417 | - | - |
| @KlasraRauf | 2,370,265 | Journalist | Politics, Literature, Translation |
| @SSEHBAI1 | 1,815,936 | Journalist | journalism, independent, personal views |
| @SdqJaan | 1,624,972 | Journalist | Journalism, Court Reporting, News Broadcasting |
| @MurrayNewlands | 1,520,865 | Contributor | pop art, art, entrepreneurship |
| @CynthiaLIVE | 1,426,072 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @SinghLions | 1,335,644 | Restaurateur | Food, Travel, Influencer |
| @javerias | 1,325,020 | Journalist | Photography, Journalism, Child Labour |
| @JackPhan | 1,113,107 | Entrepreneur | Visionary, Startup Entrepreneur, AdobeInsider |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,896
Followers With Bio
8,099
Followers Without Bio
67.6%
% With Bio
32.4%
% 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 599 analyzed205,760
Combined Engagement
0
Total Likes
205,760
Total Retweets
41,152
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: Those who want power are the ones who least deserve it
RT @OriTomorrow: Folks, Twitter, the platform, is not shutting down tonight. Here's what's actually happening: Staff of Twitter were giv…
RT @Al__Quraan: You'll never regret retweeting this. https://t.co/JgVZVGmxIw
RT @Al__Quraan: The sunsets in Madinah. https://t.co/jeGp75djFH
RT @Al__Quraan: You have Allah, it'll be ok.
Key Insights & Takeaways
Her top tweets include a mix of professional updates and poetic reflections, showing a balance between work and personal expression. She uses verified links, which may indicate she shares official or important resources. Her content often touches on themes of resilience and community, which resonate with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 24,903
- + 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 @NazeeaJabeen reveals an well-established Twitter presence with 24,903 followers. The account demonstrates a conversation-first approach, averaging 557.8 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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