Fanta Indonesia
FANTA bikin seru lebih berasa! #PejuangKeseruan
78,707
Followers
30
Following
4,718
Tweets
2.4
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Fanta_ID'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:2010-04-19
- Verification:No
- Location:Indonesia
Data Summary
- Tweets Analyzed:3,097
- Avg Likes per Tweet:0.8
- Avg Retweets per Tweet:1.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,097 tweetsThe account maintains a consistent level of engagement with its followers, suggesting a loyal and active audience. The use of polls and questions encourages interaction and participation.
0.8
Avg Likes/Tweet
1.6
Avg Retweets/Tweet
2,591
Total Likes
4,981
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
384
Top Tweet
0.03
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
66.9%
Original
20.2%
Replies
11.9%
Retweets
0.9%
Quotes
0.0%
Threads
0.9%
With Media
40.1%
With Links
55.2%
With #Tags
61.9%
With @Mentions
2.9%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.6%
Weekday Posts
18.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,097 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 370 retweets (12% 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 3,097 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 appears to be young and tech-savvy, interested in interactive content and brand engagement. They are likely active on social media and enjoy participating in polls and discussions.
Average
Audience Quality
27.4%
Suspicion Index
40.3%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.4%
Empty Bio
40.2%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
24.2%
<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.
1,528,673
Total Potential Reach
22
Median Follower Reach
85
75th Percentile Reach
1.6%
>1K followers
0.1%
>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).
30.5%
Creators
3,046 accounts
29.4%
Consumers
2,938 accounts
40.2%
Dormant
4,016 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):
6
Verified Followers
0.06% of total
1,056
Protected Accounts
10.56% of total
8 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 |
|---|---|---|---|
| @ulinindonesia | 115,191 | Media | Lifestyle, Tourism, Indonesia |
| @TwitterMktgID | 80,571 | Social Media Manager | Marketing, Brands, Twitter |
| @AnakLorongMks | 71,065 | Influencer | Buzz, Jomblo, Jodoh |
| @helloolin | 53,630 | Designer | - |
| @IllusionistRuss | 30,610 | - | - |
| @qureta | 22,413 | - | - |
| @SodexoID | 14,868 | - | - |
| @juniorburton0 | 13,663 | - | - |
| @Risristidf | 13,627 | - | - |
| @infokuisnetwork | 13,365 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,364
Followers With Bio
5,636
Followers Without Bio
43.64%
% With Bio
56.36%
% 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 3,097 analyzed1,682
Combined Engagement
819
Total Likes
863
Total Retweets
336
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Udah siap menyambut Ramadan tahun ini? Yuk, siapin stok FANTA yg banyak buat #BawaSeruAja buka puasa kamu nanti :) http://t.co/iIgzD44z46
Menurut kamu FANTA rasa apa sih yg akan hadir kembali? A. Anggur, B. Fruit Punch, atau C. Melon? #BawaSeruAja http://t.co/UtircLIvTI
Aplikasi apa sih yang selalu ada di handphone buat #BawaSeruAja hari kamu? ;) http://t.co/w7b6biHSQk
Mau dpt gadget keren? Ikut kontes foto selfie/wefie #FANTAGenkofFun di @7ElevenID. More Info: http://t.co/D96hUgHRgd http://t.co/veHC8gETwv
Libur akhir tahun makin seru dgn LINE sticker "FANTA Crew: It's Fun Time!" http://t.co/4nayDLeDQu https://t.co/PFpMskV77R
Key Insights & Takeaways
The account uses polls and questions to engage the audience and encourage interaction. It promotes FANTA products through themed content related to events like Ramadan. The use of hashtags like #BawaSeruAja helps build a sense of community and brand loyalty.
Strengths
- + Established follower base of 78,707
- + 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 @Fanta_ID reveals an growing Twitter presence with 78,707 followers. The account demonstrates a content-creator strategy, averaging 2.4 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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