𝘍𝘳𝘢𝘯𝘤𝘦𝘴𝘤 𝘎𝘳𝘢𝘶
👨👩👧👦 Pare 🛠 Obrero de la comunicación 💻 Transformación digital @semFYC 🩺 🚀 Building https://chatprise.com/ at @Zonetacts®
66,118
Followers
54,289
Following
49,688
Tweets
1,224.1
Avg Engagement
3,648
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FGrau'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:2007-09-14
- Verification:No
- Location:Banyoles DF
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:4.3
- Avg Retweets per Tweet:1,219.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsFGrau's tweets receive a high average number of likes and retweets, indicating strong audience interaction. Their content is well-received and often shared, suggesting a loyal and active following.
4.3
Avg Likes/Tweet
1,219.8
Avg Retweets/Tweet
13,795
Total Likes
3,948,479
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
7
75th Percentile
509,854
Top Tweet
18.51
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
17.8%
Original
53.0%
Replies
17.3%
Retweets
12.0%
Quotes
0.0%
Threads
0.2%
With Media
55.2%
With Links
19.2%
With #Tags
69.5%
With @Mentions
61.0%
With Emojis
146
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.98
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 561 retweets (17% 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 3,237 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 followersTheir audience includes professionals in communication and digital transformation, as well as general followers interested in social media and cultural topics. They also engage with users interested in historical and visual content.
Good
Audience Quality
16.5%
Suspicion Index
15.2%
Low-Quality %
351
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.6%
Empty Bio
13.0%
<10 Tweets
30.6%
Mass Following (>2K)
0.0%
New (<90 days)
14.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
52.1%
No URL
7.7%
<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.
72,461,885
Total Potential Reach
351
Median Follower Reach
1,238
75th Percentile Reach
28.8%
>1K followers
6.7%
>10K followers
2.0%
>50K followers
1.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.0%
Creators
7,095 accounts
16.1%
Consumers
1,605 accounts
13.0%
Dormant
1,300 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):
147
Verified Followers
1.47% of total
461
Protected Accounts
4.61% of total
9 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 |
|---|---|---|---|
| @benlandis | 2,825,439 | - | - |
| @ferhatgocer | 2,157,162 | Singer | Music, Medicine, Philanthropy |
| @6BillionPeople | 2,015,199 | - | - |
| @SinghLions | 1,327,745 | Restaurateur | Food, Travel, Influencer |
| @atabenli | 1,275,743 | - | - |
| @JDaIey | 1,244,967 | - | - |
| @KalaniBallFree | 1,237,173 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @BrianDEvans | 1,225,735 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @NadirOfc | 1,193,717 | - | - |
| @saidercan | 1,032,471 | Philosopher | Teknoloji, Felsefe, Dijitalizm |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,741
Followers With Bio
2,259
Followers Without Bio
77.41%
% With Bio
22.59%
% 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 3,237 analyzed1,672,673
Combined Engagement
0
Total Likes
1,672,673
Total Retweets
334,535
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @LVaughanJones: When your drone runs out of battery over a lake, timing is everything... https://t.co/btDekWXpoV
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
RT @Twitter: New decade, drink water
RT @jdpoc: The actual people from *THAT* meme, 10 years on ... . https://t.co/SjW7PAwMbk
Key Insights & Takeaways
Their content often blends professional and personal themes, showing a diverse range of interests. They frequently share historical and cultural content, which resonates with their audience. Their use of hashtags like #8M indicates an interest in social and cultural movements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,118
- + 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 @FGrau reveals an exceptionally influential Twitter presence with 66,118 followers. The account demonstrates a conversation-first approach, averaging 1,224.1 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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