Saša Radulović
Оснивач и председник странке Доста је било - ДЈБ @Dostajebilo. Founder and president of Enough is enough party. Суверениста. Само Србија нема алтернативу.
110,115
Followers
11,547
Following
50,306
Tweets
220.6
Avg Engagement
168
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SasaRadulovich'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:2012-03-28
- Verification:No
- Location:Beograd, Srbija
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:53.2
- Avg Retweets per Tweet:167.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,221 tweetsHis tweets typically receive a moderate number of likes and retweets, indicating a level of interest and interaction from his followers. The engagement suggests a politically active and informed audience.
53.2
Avg Likes/Tweet
167.4
Avg Retweets/Tweet
171,218
Total Likes
539,251
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
3
Median Retweets
73
75th Percentile
121,683
Top Tweet
2.0
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
7.1%
Original
63.0%
Replies
23.8%
Retweets
6.1%
Quotes
0.0%
Threads
0.0%
With Media
44.5%
With Links
0.8%
With #Tags
80.1%
With @Mentions
5.1%
With Emojis
204
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.83
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 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 765 retweets (24% 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 3,221 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 followersHis audience primarily consists of Serbian citizens interested in politics and sovereignty. They are likely engaged in discussions about election transparency and national identity.
Average
Audience Quality
29.5%
Suspicion Index
49.4%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.8%
Empty Bio
46.5%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
45.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
35.9%
<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.
3,447,032
Total Potential Reach
16
Median Follower Reach
112
75th Percentile Reach
5.2%
>1K followers
0.4%
>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).
34.8%
Creators
3,484 accounts
18.7%
Consumers
1,866 accounts
46.5%
Dormant
4,650 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):
28
Verified Followers
0.28% of total
407
Protected Accounts
4.07% 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 |
|---|---|---|---|
| @GoogleExpertUK | 261,123 | SEO Expert | SEO, Cruise, Art |
| @_Lolobe4 | 205,312 | Influencer | Fashion, Fitness, Travel |
| @TNTJohn1717 | 114,596 | - | - |
| @Storiesofinjury | 110,324 | Activist | COVID vaccine injuries |
| @Drc_19 | 84,064 | Photographer | Horses, Dogs, Positivity |
| @AldoSterone111 | 81,245 | Political Activist | Chiisme, Soufisme, Judaisme |
| @Nevena_Mil | 75,970 | Singer | Fashion, Travel, Food |
| @vladimirgajic1 | 67,458 | Attorney | Law, Politics, Advocacy |
| @Angelo4justice3 | 52,578 | - | - |
| @RMartinovic | 38,249 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,724
Followers With Bio
6,276
Followers Without Bio
37.24%
% With Bio
62.76%
% 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 3,221 analyzed275,810
Combined Engagement
0
Total Likes
275,810
Total Retweets
55,162
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: The people have spoken. Trump will be reinstated. Vox Populi, Vox Dei. https://t.co/jmkhFuyfkv
RT @elonmusk: https://t.co/dJvUeO2P5t
RT @elonmusk: The World Economic Forum should control the world
RT @BrayanFich: https://t.co/UDWZwqkvor
RT @sovrynmindset: Gen Z might make it through. https://t.co/FxgvFH4Uvu
Key Insights & Takeaways
He frequently shares political analysis and election results, indicating a focus on current events and political accountability. His content often emphasizes sovereignty and national identity, reflecting his party's core values. He uses his platform to call for transparency and justice, which resonates with his audience's concerns.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,115
- + 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 @SasaRadulovich reveals an well-established Twitter presence with 110,115 followers. The account demonstrates a conversation-first approach, averaging 220.6 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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