MILICA DABOVIC
Lični i jedini profil na TW
61,399
Followers
218
Following
3,748
Tweets
265.8
Avg Engagement
52
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MILICADABOVIC13'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:2013-01-11
- Verification:No
- Location:BEOGRAD
Data Summary
- Tweets Analyzed:3,201
- Avg Likes per Tweet:68.1
- Avg Retweets per Tweet:197.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,201 tweetsThe account has a strong engagement rate with an average of 3,035 likes and 186 retweets per tweet. This suggests a loyal and active follower base that interacts frequently with the content.
68.1
Avg Likes/Tweet
197.8
Avg Retweets/Tweet
217,871
Total Likes
633,024
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
52
75th Percentile
202,893
Top Tweet
4.33
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
36.3%
Original
32.7%
Replies
30.8%
Retweets
0.2%
Quotes
0.0%
Threads
0.2%
With Media
50.4%
With Links
9.8%
With #Tags
67.5%
With @Mentions
51.2%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.9
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,201 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 985 retweets (31% 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 3,201 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 followersThe audience likely consists of individuals interested in emotional content, relatable experiences, and trending topics. They are engaged and responsive, as evidenced by the high average likes and retweets.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
100.0%
<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.
2,406,346
Total Potential Reach
33
Median Follower Reach
113
75th Percentile Reach
2.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
930
Protected Accounts
9.3% of total
2 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 |
|---|---|---|---|
| @SrdjanDincic | 350,271 | Comedian | Comedy, Stand-up, Humor |
| @RtEnPassant | 222,698 | Unknown | Trying to be good, play nice, take it easy & stay safe..., Pascal, rtenpassant |
| @djombic | 63,198 | Social Media Influencer | MGWV, F4F, RT2GAIN |
| @Premium__Video | 61,775 | - | - |
| @sonellasx | 58,086 | Influencer | photos, videos, promotions |
| @PopovicZivka | 38,538 | - | - |
| @DomaceLepotice | 30,787 | - | - |
| @Nataliayalonso1 | 27,899 | - | - |
| @Hetera7 | 22,000 | - | - |
| @BimboBrookelle | 20,785 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,569
Followers With Bio
7,431
Followers Without Bio
25.69%
% With Bio
74.31%
% 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 3,201 analyzed397,331
Combined Engagement
0
Total Likes
397,331
Total Retweets
79,466
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @TheMavsQueen: This is the one. https://t.co/mLdCWaJCvG
RT @IlaixMK: How it started How it’s going https://t.co/QT0B8oSByj
RT @Rlawsonnnn: This is in-fucking-sane. https://t.co/U3Uztv3p9d
RT @Ibra_official: I said I did https://t.co/elMymh4ELb
RT @DjokerNole: I’m pleased and grateful that the Judge overturned my visa cancellation. Despite all that has happened,I want to stay and try to compete @AustralianOpen I remain focused on that. I flew here to play at one of the most important events we have in front of the amaz
Key Insights & Takeaways
The user's content is highly emotional and relatable, which drives engagement. They frequently share content that resonates with their audience, likely through personal or trending topics. Their top tweets include links, suggesting they may promote other content or engage in discussions through external media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,399
- + 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 @MILICADABOVIC13 reveals an well-established Twitter presence with 61,399 followers. The account demonstrates a content-creator strategy, averaging 265.8 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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