KaiForbath.eth
NFL Kicker & NFT Collector @oneofnone_io
26,905
Followers
811
Following
207
Tweets
317
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kaiforbath'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:2011-10-24
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Followers Analyzed:27,055
- Following Analyzed:801
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Audience Demographics
Based on 27,055 followersHis followers likely include sports fans and NFT enthusiasts, possibly with an interest in both NFL and digital collectibles. The audience appears to be relatively small and niche.
Good
Audience Quality
18.0%
Suspicion Index
22.7%
Low-Quality %
95
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.5%
Empty Bio
12.3%
<10 Tweets
16.0%
Mass Following (>2K)
0.0%
New (<90 days)
32.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.3%
No URL
6.8%
<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.
117,188,289
Total Potential Reach
95
Median Follower Reach
310
75th Percentile Reach
10.7%
>1K followers
2.1%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.7%
Creators
18,853 accounts
18.0%
Consumers
4,881 accounts
12.3%
Dormant
3,321 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):
716
Verified Followers
2.65% of total
3,351
Protected Accounts
12.38% of total
10 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 |
|---|---|---|---|
| @NFL | 33,448,068 | Athlete | Football, Tight End, Humor |
| @NFLonFOX | 4,022,478 | Sports Media | Football, NFL, Sports |
| @ESPNNFL | 3,806,823 | Sports Media | Football, Sports, News |
| @DezBryant | 3,457,420 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @Variety | 2,919,320 | Entertainment industry | Entertainment, Business, Variety |
| @BeatsByAssassin | 2,236,665 | Multitalented | Actor, Director, Rapper |
| @RGIII | 2,187,159 | Athlete | Family, Football, Advocacy |
| @sydneyleroux | 2,102,903 | Soccer Player | Soccer, Motherhood, Athlete |
| @6BillionPeople | 2,006,677 | - | - |
| @JohnWall | 1,852,516 | Basketball Player | Family, Basketball, Love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,630
Followers With Bio
10,427
Followers Without Bio
61.46%
% With Bio
38.54%
% 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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Based on 801 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
54.9%
Verified Accounts
42.9%
High Authority (>50K)
100.0%
Dormant Accounts
2.9%
Low Quality
36,168
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
78.5%
Individuals
629 accounts
12.2%
Brands/Orgs
98 accounts
9.2%
Media/News
74 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,971,167 | Entrepreneur | Space, Technology, Innovation |
| @BarackObama Barack Obama | 131,947,292 | Politician | Family, Leadership, Citizenship |
| @realDonaldTrump Donald J. Trump | 87,254,741 | - | - |
| @Drake Drizzy | 39,336,934 | Rapper | music, Toronto, Raptors |
| @NFL NFL | 33,448,072 | Athlete | Football, Tight End, Humor |
| @POTUS45 President Trump 45 Archived | 32,264,024 | Politician | politics, government, history |
| @POTUS President Biden | 32,189,862 | - | - |
| @MrBeast MrBeast | 23,489,315 | YouTuber | Philanthropy, YouTube, Charity |
| @SnoopDogg Snoop Dogg | 20,738,916 | Rapper | music, cannabis, entertainment |
| @ParisHilton ParisHilton | 16,628,416 | Entrepreneur | business, updates, media |
Key Insights & Takeaways
His profile suggests a blend of professional and personal interests, which could be leveraged for content variety. The low engagement may indicate a need for more interactive or visually appealing content. His verified status and niche focus could help in building a more targeted and engaged community.
Strengths
- + Established follower base of 26,905
- + 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 @kaiforbath reveals an growing Twitter presence with 26,905 followers. The account demonstrates a content-creator strategy, averaging 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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