225,925
Followers
232
Following
7,785
Tweets
2,794.0
Avg Engagement
37
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hamzazaidi97'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:2012-09-15
- Verification:No
- Location:Madrid
Data Summary
- Tweets Analyzed:3,176
- Avg Likes per Tweet:902.6
- Avg Retweets per Tweet:1,891.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,176 tweetsThe account consistently receives high engagement, with an average of over 39,000 likes per tweet. Retweets also contribute significantly, showing that the content is both liked and shared widely.
902.6
Avg Likes/Tweet
1,891.4
Avg Retweets/Tweet
2,866,601
Total Likes
6,007,231
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
361
Median Likes
54
Median Retweets
1,749
75th Percentile
201,434
Top Tweet
12.37
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
56.7%
Original
21.3%
Replies
20.9%
Retweets
1.2%
Quotes
0.0%
Threads
0.0%
With Media
37.9%
With Links
3.3%
With #Tags
39.5%
With @Mentions
11.1%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,176 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 663 retweets (21% 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 3,176 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 followersThe audience appears to be young adults who enjoy humor, relatable content, and light-hearted social commentary. They engage actively with the content, indicating a loyal and interactive follower base.
Average
Audience Quality
23.9%
Suspicion Index
34.1%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.1%
Empty Bio
38.4%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
27.2%
<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.
10,283,861
Total Potential Reach
11
Median Follower Reach
51
75th Percentile Reach
1.0%
>1K followers
0.1%
>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).
37.4%
Creators
18,692 accounts
24.2%
Consumers
12,107 accounts
38.4%
Dormant
19,201 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):
30
Verified Followers
0.03% of total
9,161
Protected Accounts
9.07% 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 |
|---|---|---|---|
| @aXoZerr | 2,619,310 | Influencer | Family, KOI, Contact |
| @AchrafHakimi | 1,768,940 | Footballer | football, sports, athlete |
| @nilojeda | 783,021 | Comedian | Fashion, humor, lifestyle |
| @werlyb | 364,979 | Esports Player | Esports, Gaming, Influencer |
| @_riverss_ | 343,238 | Influencer | Memes, humor, sarcasmo |
| @Fuentes_Manel | 339,592 | Entertainment | Music, TV, Entertainment |
| @sergio_regui | 336,352 | Footballer | Football, Passion |
| @Universal_Spain | 320,534 | Film distributor | Christmas, movies, cinema |
| @papigavi | 243,768 | YouTuber | YouTube, meme, Laura |
| @jorcervan | 237,689 | Writer | Mythology, Self-discovery, Openness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,800
Followers With Bio
40,198
Followers Without Bio
60.2%
% With Bio
39.8%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,176 analyzed814,719
Combined Engagement
124,705
Total Likes
690,014
Total Retweets
162,944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @borzou: Stunning video shows explosions just minutes ago at Beirut port https://t.co/ZjltF0VcTr
RT @3gerardpique: 😂😂😂😭😭😭😂😂😂
RT @ibfk2014: ✊🏻✊🏿 NO TO RACISM | #Respect https://t.co/Ic1BzfANoi
les pregunta k quién fue el que mordió la silla y esto responden los perros JAJSJAKJAJ https://t.co/YKtD63jYAJ
RT @elonmusk: 🇲🇦🇲🇦 Congrats Morocco!! 🇲🇦🇲🇦
Key Insights & Takeaways
The content is primarily humorous and relatable, focusing on everyday situations and social interactions. The user often uses humor to comment on common experiences, making the content accessible and engaging. The use of emojis and informal language suggests a casual and friendly tone that resonates with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 225,925
- + 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 @hamzazaidi97 reveals an exceptionally influential Twitter presence with 225,925 followers. The account demonstrates a content-creator strategy, averaging 2,794.0 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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