Sara Duterte
FLY. SOAR. FIGHT. WIN.
200,173
Followers
1,042
Tweets
466.4
Avg Engagement
58
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @indaysara'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:2012-02-12
- Verification:No
- Location:Davao City
Data Summary
- Tweets Analyzed:650
- Avg Likes per Tweet:411.0
- Avg Retweets per Tweet:55.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 650 tweetsindaysara's tweets receive high engagement, with an average of 5,482 likes and 713 retweets per tweet. This suggests a strong connection with their audience and the relevance of their messages.
411.0
Avg Likes/Tweet
55.4
Avg Retweets/Tweet
267,152
Total Likes
35,993
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
201
Median Likes
25
Median Retweets
491
75th Percentile
20,374
Top Tweet
2.33
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
34.0%
Original
66.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
93.7%
With Links
0.2%
With #Tags
0.2%
With @Mentions
2.3%
With Emojis
239
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.94
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.4%
Weekday Posts
16.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 650 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.
Posting Patterns & Optimal Timing
Based on 650 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 50,000 followersindaysara's audience is primarily Filipino, with a focus on those in Nueva Ecija and interested in national pride. Their content is likely shared by individuals who value community and patriotism.
Average
Audience Quality
34.5%
Suspicion Index
47.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
55.6%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
72.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
42.4%
<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.
10,449,340
Total Potential Reach
2
Median Follower Reach
15
75th Percentile Reach
1.3%
>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).
25.8%
Creators
12,884 accounts
18.7%
Consumers
9,334 accounts
55.6%
Dormant
27,782 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):
79
Verified Followers
0.08% of total
22,536
Protected Accounts
22.31% 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 |
|---|---|---|---|
| @bongbongmarcos | 1,307,471 | Politician | Politics, Philippines, Leadership |
| @IskoMoreno | 947,037 | Politician | Manila, God, First |
| @USEmbassyPH | 803,114 | Diplomat | Diplomacy, Partnership, Celebration |
| @News5PH | 711,259 | News Outlet | News, Updates, Journalism |
| @ThisisnotJobe | 629,340 | Writer | Love, Jobe, Once |
| @LolaBashangMsgs | 306,242 | - | - |
| @newspatrol_ph | 281,055 | News Website | - |
| @ALDUBARKADS | 257,061 | Fanclub | AldenRichards, Nanay Dub, Daddy Bae |
| @YahooPH | 239,709 | - | - |
| @jolorevilla | 220,330 | Politician | Family, Politics, Public Service |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,932
Followers With Bio
45,067
Followers Without Bio
55.38%
% With Bio
44.62%
% 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 650 analyzed45,570
Combined Engagement
40,391
Total Likes
5,179
Total Retweets
9,114
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/fqbd7NUJ5h
Nakikiisa po tayo sa pagdiriwang ng Philippine Independence Day. Mabuhay ang bawat Pilipino! Mahalin natin ang Pilipinas! 💚 🇵🇭 https://t.co/NyU0oCtN0X
I told PBB, we need a selfie because the Social Media Team needs an obligatory birthday selfie, hence the smileys. + https://t.co/rrRI5O0X2Z
Sa tuwing nangangampanya kami sa Nueva Ecija, parati niyong pinaparamdam sa akin na ako ay kaisa niyo, para bang anak ng bayan niyo. Dahil dito taus-puso po akong nagpapasalamat. Mahalin natin ang Pilipinas! 💚 https://t.co/39FypHqAT5
Ngayong Semana Santa tayo po ay magnilay at mag-alay ng panalangin para sa lahat. Mag ingat po tayo at God bless us all. 💚 https://t.co/MOSyUiIPu7
Key Insights & Takeaways
The user frequently highlights Filipino pride and national unity, which resonates strongly with their audience. They often engage with local communities, particularly in Nueva Ecija, showing a deep connection to regional identity. Their content is emotionally charged and motivational, encouraging support and solidarity among followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 200,173
- + 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 @indaysara reveals an well-established Twitter presence with 200,173 followers. The account demonstrates a conversation-first approach, averaging 466.4 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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