FUTURE/FREEBANDZ
https://t.co/HQ9rXM79Dj
7.732.786
Followers
747
Following
14.488
Tweets
10.257,0
Avg Engagement
4.501
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @1future'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: Mega Influencer (1M+)
- Account Age:2009-06-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.106
- Avg Likes per Tweet:7.450,5
- Avg Retweets per Tweet:2.806,5
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.106 tweets1future's tweets receive high engagement, with an average of 218,447 likes and 65,416 retweets per post. This indicates a highly active and loyal fan base.
7.450,5
Avg Likes/Tweet
2.806,5
Avg Retweets/Tweet
23.141.215
Total Likes
8.717.124
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1.021
Median Likes
446
Median Retweets
7.101
75th Percentile
484.926
Top Tweet
1,33
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
68,1%
Original
3,0%
Replies
28,3%
Retweets
0,7%
Quotes
0,0%
Threads
2,9%
With Media
44,2%
With Links
47,0%
With #Tags
43,7%
With @Mentions
19,8%
With Emojis
62
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,04
Reply/Original Ratio
0,03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79,5%
Weekday Posts
20,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.106 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 878 retweets (28% 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 3.106 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 primarily consists of young adults and teenagers interested in hip-hop culture and social media trends. They are drawn to 1future's authentic and relatable content.
Average
Audience Quality
32,9%
Suspicion Index
48,5%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55,0%
Empty Bio
56,5%
<10 Tweets
1,4%
Mass Following (>2K)
0,0%
New (<90 days)
61,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,2%
No URL
41,9%
<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.
12.490.829
Total Potential Reach
5
Median Follower Reach
23
75th Percentile Reach
1,9%
>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).
21,8%
Creators
10.897 accounts
21,8%
Consumers
10.878 accounts
56,5%
Dormant
28.225 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):
443
Verified Followers
0.44% of total
10.743
Protected Accounts
10.64% 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 |
|---|---|---|---|
| @MoneyBaggYo | 2.718.813 | Motivational Speaker | money, bag, speaker |
| @Angelrawww1 | 744.825 | Content Creator | content creation, link sharing |
| @MZTOKYODRIFT | 543.917 | Entertainer | Drifting, Entertainment, Lifestyle |
| @NickRTFM | 427.339 | Streamer | FIFA, Trading, Gaming |
| @sivemorten | 394.258 | Editor | editorial, opinions, editing |
| @Avxry | 341.423 | YouTuber | Gaming, Streaming, Content Creation |
| @tize4PF | 318.957 | Rapper | art, music, fashion |
| @ShannonJessie | 307.442 | Influencer | Fashion, Beauty, Lifestyle |
| @jushendo | 297.306 | Content Creator | fighting, posting, promotion |
| @PrinceOfPopNT | 262.505 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46.770
Followers With Bio
54.208
Followers Without Bio
46.32%
% With Bio
53.68%
% 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 3.106 analyzed1.641.384
Combined Engagement
1.292.196
Total Likes
349.188
Total Retweets
328.277
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
She belong to the streets
Mask on
TakeOff forever Legendary
I NEVER LIKED YOU
Let the streets cover her tab.
Key Insights & Takeaways
1future's content is deeply rooted in street culture and personal storytelling. Their verified status is low, suggesting a strong organic following. They often use visual and symbolic language to convey their messages.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 7.732.786
- + 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 @1future reveals an exceptionally influential Twitter presence with 7.732.786 followers. The account demonstrates a content-creator strategy, averaging 10.257,0 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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