Robi
Contact Pro : [email protected]
233,828
Followers
520
Following
7,353
Tweets
186.0
Avg Engagement
72
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Robi_ow'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:2013-10-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:125.8
- Avg Retweets per Tweet:60.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsRobi_ow's tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in their content.
125.8
Avg Likes/Tweet
60.2
Avg Retweets/Tweet
408,541
Total Likes
195,440
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
0
Median Retweets
114
75th Percentile
96,501
Top Tweet
0.8
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
24.5%
Original
58.8%
Replies
5.4%
Retweets
11.3%
Quotes
0.0%
Threads
0.9%
With Media
61.3%
With Links
3.8%
With #Tags
70.8%
With @Mentions
36.8%
With Emojis
69
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.4
Reply/Original Ratio
2.09
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 3,248 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 175 retweets (5% 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 3,248 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 followers seem to appreciate authenticity and humor, with a focus on lifestyle and gaming content.
Below Average
Audience Quality
35.7%
Suspicion Index
41.4%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
53.4%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
84.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
35.0%
<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.
4,318,967
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
0.4%
>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).
21.3%
Creators
10,658 accounts
25.3%
Consumers
12,635 accounts
53.4%
Dormant
26,707 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):
50
Verified Followers
0.05% of total
4,368
Protected Accounts
4.32% of total
4 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 |
|---|---|---|---|
| @SonySantaMonica | 762,054 | Game Developer | Video games, Podcasting, Hiring |
| @Sardoche_Lol | 702,979 | Twitch Streamer | Gaming, Streaming, Anti-hypocrisy |
| @EAFrance | 701,984 | - | - |
| @ScreaM_ | 656,551 | Professional Gamer | Gaming, eSports, Business |
| @LMPositif | 487,200 | Media Personality | optimism, positivity, news |
| @SamsungFR | 403,058 | Technology Company | technology, electronics, innovation |
| @Maghla | 392,562 | Streamer | Gaming, Fitness, Streaming |
| @TwitchFR | 369,627 | Streamer | gaming, French, purple |
| @Nikof | 338,813 | Professional Gamer | Fortnite, Pro Player, Streamer |
| @msifrance | 331,202 | Tech Company | Gaming, Technology, Innovation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,529
Followers With Bio
48,466
Followers Without Bio
52.01%
% With Bio
47.99%
% 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 3,248 analyzed147,287
Combined Engagement
4,211
Total Likes
143,076
Total Retweets
29,457
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @urdadssidepiece: I can’t stop laughing at this https://t.co/DpdHtov4IR
RT @McLaughTv: Twitter je t'en supplie aide moi à retrouver Oly. Berger Malinois de 1 an et demi, volé par effraction dans mon jardin sur T…
A 10k RT je reprend Fortnite en try hard !
RT @MortalShellGame: The wait is almost over. Mortal Shell releases on August 18 for PC/PS4/Xbox One. [RT this for a chance to win a copy…
RT @RunaPocket: ＼ ダネッ🌿 ／ https://t.co/BF8VPzmDTQ
Key Insights & Takeaways
Their content is highly personal and relatable, which helps build a loyal following. They often share achievements and milestones, which can inspire their audience. Humor and casual tone are key elements that drive engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 233,828
- + 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 @Robi_ow reveals an well-established Twitter presence with 233,828 followers. The account demonstrates a conversation-first approach, averaging 186.0 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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