Dr. Mustafa İduğ
@bornovabld Başkanı | Mayor of Bornova Municipality
18,037
Followers
1,059
Following
10,309
Tweets
120.0
Avg Engagement
39
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @drmustafaidug35'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:2019-01-31
- Verification:No
- Location:İzmir, Türkiye
Data Summary
- Tweets Analyzed:3,205
- Avg Likes per Tweet:69.7
- Avg Retweets per Tweet:50.3
- Followers Analyzed:17,784
Engagement Analysis
Based on 3,205 tweetsHis tweets receive a high number of likes and retweets, indicating strong community support. The engagement is driven by content related to agricultural initiatives and local celebrations.
69.7
Avg Likes/Tweet
50.3
Avg Retweets/Tweet
223,292
Total Likes
161,278
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
2
Median Retweets
43
75th Percentile
76,082
Top Tweet
6.65
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
53.9%
Original
23.4%
Replies
21.0%
Retweets
1.7%
Quotes
0.0%
Threads
0.1%
With Media
75.5%
With Links
16.0%
With #Tags
47.7%
With @Mentions
47.1%
With Emojis
161
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,205 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 674 retweets (21% 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 3,205 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 17,784 followersHis audience is primarily interested in local news, agriculture, and community development. They are likely residents of Bornova and individuals interested in municipal activities.
Average
Audience Quality
23.7%
Suspicion Index
31.9%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.1%
Empty Bio
20.3%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
45.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
13.6%
<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.
81,634,285
Total Potential Reach
60
Median Follower Reach
259
75th Percentile Reach
10.3%
>1K followers
2.2%
>10K followers
0.8%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.1%
Creators
11,035 accounts
17.7%
Consumers
3,142 accounts
20.3%
Dormant
3,607 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):
148
Verified Followers
0.83% of total
3,000
Protected Accounts
16.87% of total
7 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 | 14,106,849 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ugurdundarsozcu | 4,956,993 | - | - |
| @verified | 4,201,617 | - | - |
| @eczozgurozel | 2,845,991 | Politician | Politics, Football, Education |
| @barisyarkadas | 1,708,362 | Journalist | Politics, Journalism, Turkey |
| @erenerdemnet | 1,704,596 | - | - |
| @tuncsoyer | 1,648,851 | Mayor | Politics, Municipality, Izmir |
| @mustafabalbay | 1,647,180 | Journalist | Gazeteci, Yazar, CHP |
| @Canan_Kaftanci | 1,301,850 | Politician | Politics, Activism, Human Rights |
| @gurseltekin34 | 1,255,074 | Politician | Politics, Istanbul, Turkey |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,876
Followers With Bio
8,908
Followers Without Bio
49.91%
% With Bio
50.09%
% 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 3,205 analyzed173,089
Combined Engagement
78,773
Total Likes
94,316
Total Retweets
34,618
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Bu tweet ne kadar “fav” alırsa o sayıda Atalık Tohumu 1 ay içinde dağıtacağız. Hem kendi “yerli”tohumuzu yaygınlaştırıp, ekim alanlarını artıralım hem de bu konuda bir farkındalık yaratalım 🌾🌱
RT @kilicdarogluk: #SanaSöz yine baharlar gelecek… https://t.co/WWqeMS3XqX
RT @kilicdarogluk: Halkımızdan vergiyle, zamlarla çalınan paraları, devasa bir trol ağını beslemek için harcıyorlar. Milletin mutfağı yangın yeri, Sarayın tek derdi illegal dinleme, mobese ile izleme, trollerle küfür kıyamet. Ahlaksızlığın sınırı yok, çocuklar bile araç... https:
RT @kilicdarogluk: #SanaSöz https://t.co/somfAtjNBp
Dün tohum takas şenliğinde 100 bin atalık tohum dağıttık. Bu rakamla birlikte dağıttığımız tohum miktarı son bir yılda 1.5 milyonu aştı 🌾 🌱 İthal tohumlar yerine kendi tohumlarımıza sahip çıkmalıyız, çoğalmasını sağlamalı ve ekim alanlarını genişletmeliyiz.
Key Insights & Takeaways
His tweets often focus on agricultural projects and community events, which resonate well with his audience. He uses hashtags and links to promote local initiatives and increase visibility. The high engagement suggests a strong connection between the audience and the municipality's efforts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 18,037
- + 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 @drmustafaidug35 reveals an well-established Twitter presence with 18,037 followers. The account demonstrates a content-creator strategy, averaging 120.0 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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