Bkstg
Get closer to the artists you love and the community who loves them along with you #GetCloser #Bkstg #ARIMOJI
219,896
Followers
6,289
Following
17,566
Tweets
426.5
Avg Engagement
378
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Bkstg'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:2013-05-15
- Verification:No
- Location:Download in the App Store or Google Play
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:118.4
- Avg Retweets per Tweet:308.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,190 tweetsThe account has a high average engagement rate with around 2,288 likes and 1,198 retweets per tweet. This suggests a dedicated and responsive fan base that interacts regularly with the content.
118.4
Avg Likes/Tweet
308.1
Avg Retweets/Tweet
377,725
Total Likes
982,919
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
10
Median Retweets
145
75th Percentile
78,417
Top Tweet
1.94
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
89.4%
Original
0.8%
Replies
7.7%
Retweets
2.1%
Quotes
0.0%
Threads
2.8%
With Media
96.5%
With Links
55.9%
With #Tags
82.2%
With @Mentions
76.0%
With Emojis
123
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 246 retweets (8% 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 3,190 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 followersThe audience is primarily music fans, especially those who follow Justin Bieber and other artists. The community is likely active and engaged, with a strong interest in artist updates and fan culture.
Average
Audience Quality
21.8%
Suspicion Index
27.1%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.4%
Empty Bio
30.4%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
41.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
19.8%
<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.
127,341,070
Total Potential Reach
24
Median Follower Reach
164
75th Percentile Reach
5.9%
>1K followers
0.7%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.1%
Creators
24,038 accounts
21.5%
Consumers
10,772 accounts
30.4%
Dormant
15,190 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):
152
Verified Followers
0.15% of total
11,452
Protected Accounts
11.34% 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 |
|---|---|---|---|
| @jimmyfallon | 50,776,645 | Comedian | Comedy, TV, Music |
| @JohnCena | 14,100,375 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mariobautista_ | 5,421,215 | Musician | Music, Mexico, Social Media |
| @FallonTonight | 4,504,916 | - | - |
| @BBMAs | 3,935,323 | Music Journalist | - |
| @benlandis | 2,848,222 | - | - |
| @CD9 | 2,541,641 | Music Band | Music, Entertainment, Pop |
| @alispagnola | 2,349,133 | Musician | Music, Comedy, Fitness |
| @radiodisney | 2,155,855 | Radio Host | Music, Entertainment, Fun |
| @6BillionPeople | 2,034,273 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,072
Followers With Bio
31,925
Followers Without Bio
68.39%
% With Bio
31.61%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,190 analyzed280,847
Combined Engagement
0
Total Likes
280,847
Total Retweets
56,169
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @justinbieber: https://t.co/Ehx7cDu0Nw
RT @justinbieber: Thank you next is a bop. My favorite song. Least this song is smash. Fire
RT @ummreggie: “Do you still bop Justin Bieber’s Mistletoe album?” Me: https://t.co/5bZeNdwsS1
RT @justinbieber: #cupidmovie https://t.co/11sV1zrpYa
RT @justinbieber: #Hard2FaceReality @poobear @jayelectronica https://t.co/IXMbZOFNiR https://t.co/BynBGhqE4n
Key Insights & Takeaways
The account frequently references Justin Bieber and his music, indicating a strong focus on his fanbase. It uses emotional and celebratory language, such as birthdays and album anniversaries, to connect with followers. The use of emojis and hashtags suggests an effort to create a vibrant and interactive online community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 219,896
- + 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 @Bkstg reveals an well-established Twitter presence with 219,896 followers. The account demonstrates a content-creator strategy, averaging 426.5 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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