Stefan Iulius Gavril
βπ ππππππ βπππ π£π βπ ππππ£ ππ πΉππ€ππ ππ ππ π£πππ , ππ₯πππͺ & βπ¦πππππ πΈπ£π π¦ππ π
34,211
Followers
8,826
Tweets
927.0
Avg Engagement
18
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gavril_run'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:2010-04-20
- Verification:No
- Location:UmeΓ₯ β Torino β Transilvania
Data Summary
- Tweets Analyzed:3,048
- Avg Likes per Tweet:0.8
- Avg Retweets per Tweet:926.1
- Followers Analyzed:34,050
Engagement Analysis
Based on 3,048 tweetsPosts receive an average of 225 likes and 28 retweets, indicating moderate engagement. The audience seems to appreciate both personal updates and event highlights.
0.8
Avg Likes/Tweet
926.1
Avg Retweets/Tweet
2,532
Total Likes
2,822,820
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
23
Median Retweets
90
75th Percentile
237,434
Top Tweet
27.1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
2.4%
Original
7.1%
Replies
90.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.8%
With Media
80.9%
With Links
33.8%
With #Tags
98.5%
With @Mentions
45.7%
With Emojis
160
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,048 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 2,760 retweets (91% 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 3,048 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 34,050 followersThe audience is likely sports enthusiasts, runners, and fans of Romanian athletes. They are interested in running events and motivational content.
Average
Audience Quality
29.6%
Suspicion Index
38.2%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.8%
Empty Bio
30.5%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
19.6%
<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.
39,921,258
Total Potential Reach
21
Median Follower Reach
68
75th Percentile Reach
3.1%
>1K followers
0.4%
>10K followers
0.1%
>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).
42.2%
Creators
14,364 accounts
27.3%
Consumers
9,289 accounts
30.5%
Dormant
10,397 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):
15
Verified Followers
0.04% of total
1,947
Protected Accounts
5.72% of total
8 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 | 14,106,772 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hootsuite | 7,331,171 | Social Media Manager | Social media, news, tips |
| @verified | 4,201,701 | - | - |
| @BeatsByAssassin | 2,267,163 | Multitalented | Actor, Director, Rapper |
| @ARTEM_KLYUSHIN | 720,541 | Politician | Russian politics, diplomacy, international relations |
| @NichiVendola | 502,366 | - | - |
| @aliciagrimes71 | 500,500 | Influencer | Youtube influencers, Music, Magazine |
| @VodafoneIT | 369,340 | Telecommunications | Technology, Updates, Customer Service |
| @Daminous_Purity | 354,409 | Minister | WWE, NFL, FIFA |
| @GirlGround | 264,072 | Blogger | Feminism, Empowerment, Communication |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,691
Followers With Bio
19,359
Followers Without Bio
43.15%
% With Bio
56.85%
% 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 3,048 analyzed643,304
Combined Engagement
0
Total Likes
643,304
Total Retweets
128,661
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @MariahCarey: ITβS TIME!!! πβοΈ #MariahSZN https://t.co/CtRsxYyLo8
RT @stfuheart_: Friends that understand your anti-social phases are important.
RT @KayeEllen17: Please. Please. Please. Everyone PRAY for my daughter Molly. She has been in an accident and suffered a brain trauma. Sheβs unconscious in ICU. Please RT and PRAY πππ https://t.co/FqxQMiGeE8
RT @djarinculture: *me rereading my own tweet every time someone likes it* https://t.co/Q764BDICa9
RT @rogerfederer: https://t.co/TzQhBeuwML
Key Insights & Takeaways
The user frequently shares updates about running events and personal achievements, which likely drive engagement. They use hashtags like #sport, #running, and #monaco to reach a broader audience. Their content often includes motivational quotes, which resonate with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 34,211
- + 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 @gavril_run reveals an well-established Twitter presence with 34,211 followers. The account demonstrates a conversation-first approach, averaging 927.0 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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