Burger King Indonesia
The official Twitter of BURGER KING® Indonesia Home of the WHOPPER® 🍔👑 ☎️ 1500 2http://bkdelivery.co8W.idqE [email protected]
99,911
Followers
34
Following
19,267
Tweets
227.6
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BurgerKing_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:2011-02-09
- Verification:No
- Location:Indonesia
Data Summary
- Tweets Analyzed:3,205
- Avg Likes per Tweet:172.2
- Avg Retweets per Tweet:55.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,205 tweetsThe account consistently receives high engagement, indicating strong brand loyalty and customer interaction. It uses a mix of promotional and conversational content to maintain interest.
172.2
Avg Likes/Tweet
55.4
Avg Retweets/Tweet
551,771
Total Likes
177,587
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
3
75th Percentile
692,878
Top Tweet
2.28
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
26.6%
Original
69.0%
Replies
1.1%
Retweets
3.3%
Quotes
0.0%
Threads
0.3%
With Media
34.8%
With Links
14.5%
With #Tags
69.5%
With @Mentions
33.8%
With Emojis
141
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.59
Reply/Original Ratio
2.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.8%
Weekday Posts
15.2%
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 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 36 retweets (1% 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 10,000 followersThe primary audience is Indonesian consumers interested in fast food and promotions. The account also engages with customers and public figures.
Below Average
Audience Quality
39.6%
Suspicion Index
56.0%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.7%
Empty Bio
66.8%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
81.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.3%
No URL
56.2%
<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.
1,495,283
Total Potential Reach
1
Median Follower Reach
8
75th Percentile Reach
1.1%
>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).
19.9%
Creators
1,989 accounts
13.3%
Consumers
1,328 accounts
66.8%
Dormant
6,683 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):
5
Verified Followers
0.05% of total
1,306
Protected Accounts
13.06% of total
2 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 |
|---|---|---|---|
| @BurgerKingBR | 365,310 | Fast Food | Fast Food, Brazil, Burgers |
| @idwiki | 268,255 | Informational | - |
| @BurgerKingUK | 117,890 | Fast Food | burgers, tweets, food |
| @Perfect_Match_X | 61,755 | Adult entertainer | Gay, NSFW, Venus2000 |
| @Tantebogigolo | 31,015 | - | - |
| @camera_superior | 28,810 | - | - |
| @KevinS_u | 26,476 | - | - |
| @greatestbkfacts | 16,523 | - | - |
| @CharlyTweeps | 11,524 | - | - |
| @sianamemey | 8,258 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,426
Followers With Bio
5,574
Followers Without Bio
44.26%
% With Bio
55.74%
% 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 analyzed705,239
Combined Engagement
534,057
Total Likes
171,182
Total Retweets
141,048
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
It’s not a marketing strategic shit. It’s just an equal right for everyone to have a decent job thing. Thanks for the shout out tho! 😬 https://t.co/7uOl6hcNBs
@febriandirga Exactly. https://t.co/rr1KiAEjUS
Are you ready??? https://t.co/fqdqwy9HdE
Sunyi mungkin hal yang ga biasa buatmu, tapi di Burger King itu biasa. Ini cerita Debby, crew Tuli di BK yg sama luar biasanya dengan crew Dengar. Yuk saatnya biasakan kesetaraan. Download tool-kit di https://t.co/MT3HmNDvSo untuk memulai. #BersamaKitaBisa #SunyiBersuara https:
Di sebelah sana tuh Kak, kalo ngeliat burgernya kecil nah berarti Kakak udah sampe hehehe 😄🙏🏻 https://t.co/qX7JulVI4q
Key Insights & Takeaways
The account occasionally shares social commentary, indicating a broader engagement strategy beyond just marketing. It has a verified status, which likely contributes to its credibility and follower base. The use of links in tweets suggests a focus on driving traffic to their website or promotions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,911
- + 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 @BurgerKing_ID reveals an well-established Twitter presence with 99,911 followers. The account demonstrates a conversation-first approach, averaging 227.6 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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