430,232
Followers
6,377
Following
9,566
Tweets
219.4
Avg Engagement
213
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Leila_Ghandi'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:2009-10-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,134
- Avg Likes per Tweet:11.4
- Avg Retweets per Tweet:208.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,134 tweetsHer tweets receive an average of 1,054 likes and 510 retweets, indicating strong audience interaction. The high engagement suggests her messages are both impactful and widely appreciated.
11.4
Avg Likes/Tweet
208.0
Avg Retweets/Tweet
35,659
Total Likes
651,952
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
13
75th Percentile
261,715
Top Tweet
0.51
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
51.7%
Original
21.0%
Replies
15.1%
Retweets
12.3%
Quotes
0.0%
Threads
5.6%
With Media
56.6%
With Links
24.4%
With #Tags
53.3%
With @Mentions
28.1%
With Emojis
110
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.81
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 3,134 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 472 retweets (15% 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 3,134 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 followersHer audience is primarily composed of individuals interested in social justice, human rights, and anti-racism. The audience is diverse and globally spread, showing a wide reach.
Below Average
Audience Quality
44.5%
Suspicion Index
63.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.6%
Empty Bio
77.6%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
86.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
63.4%
<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.
56,310,717
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
1.8%
>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).
9.5%
Creators
4,757 accounts
12.9%
Consumers
6,438 accounts
77.6%
Dormant
38,805 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):
239
Verified Followers
0.24% of total
2,531
Protected Accounts
2.51% 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 |
|---|---|---|---|
| @JohnCena | 14,104,308 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cesc4official | 9,936,576 | Footballer | Football, Family, Instagram |
| @benlandis | 2,850,078 | - | - |
| @MrKRudd | 1,586,435 | Politician | Asia, Policy, Australia |
| @MurrayNewlands | 1,519,789 | Contributor | pop art, art, entrepreneurship |
| @SOROKGUILLAUME | 1,439,565 | Politician | politics, leadership, government |
| @soledadobrien | 1,318,524 | Journalist | working, mom, journalist |
| @delsasolorzano | 1,167,276 | Lawyer | #DDHH, Abogado, CentroDerecha |
| @bchameroy | 1,041,463 | - | - |
| @CSuiteConfess | 1,004,703 | Executive Coach | #MeToo, Executives, Navigating |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
26,458
Followers With Bio
74,535
Followers Without Bio
26.2%
% With Bio
73.8%
% 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 3,134 analyzed450,615
Combined Engagement
0
Total Likes
450,615
Total Retweets
90,123
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @BarackObama: Michelle and I are so inspired by all the young people who made today’s marches happen. Keep at it. You’re leading us forw…
RT @elonmusk: Fear is the mind-killer
RT @elonmusk: Am donating $100M towards a prize for best carbon capture technology
RT @Gendarmerie: ‼️#AppelàTémoins lancé par les gendarmes de l'#Isère après la disparition inquiétante de Maëlys, 9 ans, à Pont-de-Beauvois…
RT @EmmanuelMacron: Sur Jérusalem, la France n'approuve pas la décision des États-Unis. La France soutient la solution de deux États, Israë…
Key Insights & Takeaways
Her content often challenges racist narratives and promotes inclusivity. She emphasizes the importance of humanism and the defense of human rights. Her tweets are emotionally charged and thought-provoking, encouraging reflection and discussion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 430,232
- + 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 @Leila_Ghandi reveals an well-established Twitter presence with 430,232 followers. The account demonstrates a content-creator strategy, averaging 219.4 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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