Natasa Miljkovic
Medju nama.
102,948
Followers
1,012
Following
7,631
Tweets
136.4
Avg Engagement
114
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MiljkovicNatasa'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:2011-09-29
- Verification:No
- Location:Belgrade, Serbia
Data Summary
- Tweets Analyzed:3,160
- Avg Likes per Tweet:52.0
- Avg Retweets per Tweet:84.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,160 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across her posts, suggesting a loyal following.
52.0
Avg Likes/Tweet
84.4
Avg Retweets/Tweet
164,454
Total Likes
266,600
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
32
75th Percentile
106,747
Top Tweet
1.33
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
30.2%
Original
38.1%
Replies
28.4%
Retweets
3.4%
Quotes
0.0%
Threads
0.1%
With Media
30.1%
With Links
19.6%
With #Tags
77.0%
With @Mentions
11.4%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.26
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,160 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 896 retweets (28% 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 3,160 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 followersHer audience appears to be interested in personal narratives and social issues. They engage with her content showing interest in both emotional and informative posts.
Average
Audience Quality
32.1%
Suspicion Index
54.5%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.1%
Empty Bio
51.7%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
51.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
40.8%
<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.
2,762,525
Total Potential Reach
11
Median Follower Reach
75
75th Percentile Reach
3.9%
>1K followers
0.4%
>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).
30.0%
Creators
2,996 accounts
18.3%
Consumers
1,831 accounts
51.7%
Dormant
5,173 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):
19
Verified Followers
0.19% of total
423
Protected Accounts
4.23% 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 |
|---|---|---|---|
| @zaklina_prva | 201,010 | Novinarka | Journalism, People, Opinion |
| @BoraKonj | 140,718 | Analyst | Sarkazam, Informatika, Vožnja |
| @MyLinguaAcademy | 67,230 | - | - |
| @dina_2801 | 47,078 | Influencer | Love, Mandarins, Beauty |
| @catherinebroy | 37,597 | - | - |
| @ssp_beograd | 36,184 | - | - |
| @ZdravkoPonos | 34,980 | - | - |
| @JelenaLengold | 33,717 | - | - |
| @tako_hoce | 30,279 | - | - |
| @Sladjana731 | 26,413 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,186
Followers With Bio
6,814
Followers Without Bio
31.86%
% With Bio
68.14%
% 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 3,160 analyzed215,686
Combined Engagement
15,117
Total Likes
200,569
Total Retweets
43,137
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @F1: MAX VERSTAPPEN. WORLD CHAMPION!!! A stunning season by an extraordinary talent #HistoryMade #F1 @Max33Verstappen https://t.co/FxT9W69xJe
RT @ditzkoff: The portion of that Meryl Streep speech that stunned and silenced the Golden Globes. https://t.co/QIcQfTqDqB
RT @edleonklinger: Video of a hospital in Spain. Watch it. Watch it again with the volume up. Now cancel that brunch. Postpone that coffee meet-up. Rain check that dinner with friends. Sucks doesn’t it? But not as hard as this 👇 #COVIDー19 #coronavirus #StayAtHome https://t.
Nju je voleo svako ko ju je upoznao. A poznavali su je svi koji su je godinama slušali. To je ona: vesela, bistra, ubitačna kad treba i ljudina. ❤️ https://t.co/dNzuGFu3sS
Bravo za Jelenu Zorić, snimatelja n1, u ovoj epidemioloskoj situaciji, biti dobar novinar je više od hrabrosti.
Key Insights & Takeaways
Her content often revolves around personal experiences and emotional storytelling. She frequently shares messages that resonate with a wide audience, emphasizing relatability. Her tweets also touch on public and social issues, indicating a broader commentary role.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 102,948
- + 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 @MiljkovicNatasa reveals an well-established Twitter presence with 102,948 followers. The account demonstrates a conversation-first approach, averaging 136.4 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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