Lamar Jackson
Standing on business. #slowgrind
15,112
Followers
304
Following
5,124
Tweets
2,226.2
Avg Engagement
64
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Royal_two_one'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:2015-07-29
- Verification:No
- Location:The Netherlands
Data Summary
- Tweets Analyzed:3,085
- Avg Likes per Tweet:63.3
- Avg Retweets per Tweet:2,162.9
- Followers Analyzed:15,357
Engagement Analysis
Based on 3,085 tweetsThe account has a high average engagement rate with likes and retweets, indicating a loyal and active follower base that resonates with the content.
63.3
Avg Likes/Tweet
2,162.9
Avg Retweets/Tweet
195,150
Total Likes
6,672,631
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
24
Median Retweets
1,643
75th Percentile
224,851
Top Tweet
147.31
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
20.3%
Original
4.6%
Replies
68.9%
Retweets
6.2%
Quotes
0.0%
Threads
0.4%
With Media
37.1%
With Links
21.9%
With #Tags
74.9%
With @Mentions
41.8%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,085 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 2,126 retweets (69% 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 3,085 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 15,357 followersThe audience appears to be interested in sports, personal growth, and motivational content, likely including athletes and young professionals.
Good
Audience Quality
17.9%
Suspicion Index
23.6%
Low-Quality %
101
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
11.6%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
35.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
6.6%
<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.
44,680,912
Total Potential Reach
101
Median Follower Reach
309
75th Percentile Reach
7.7%
>1K followers
1.3%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.6%
Creators
10,994 accounts
16.8%
Consumers
2,575 accounts
11.6%
Dormant
1,788 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):
149
Verified Followers
0.97% of total
1,859
Protected Accounts
12.11% of total
9 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 |
|---|---|---|---|
| @JohnCena | 14,106,726 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,294 | - | - |
| @garyvee | 3,173,074 | Entrepreneur | Family, CEO, Investor |
| @6BillionPeople | 2,038,887 | - | - |
| @nyjets | 1,340,311 | Sports Team | Football, New York, Jets |
| @soledadobrien | 1,320,654 | Journalist | working, mom, journalist |
| @brgridiron | 801,025 | Sports Media | Football, Sports, News |
| @TitusONeilWWE | 621,713 | Wrestler | WWE, Fatherhood, Entertainment |
| @CoachSchuman | 589,457 | Football Coach | Football, Recruiting, Motivation |
| @djkingassassin | 474,302 | DJ | Music, Club, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,115
Followers With Bio
6,242
Followers Without Bio
59.35%
% With Bio
40.65%
% 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 3,085 analyzed639,237
Combined Engagement
0
Total Likes
639,237
Total Retweets
127,847
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @insanely_made: All 50 states. https://t.co/PzLQ7y969g
RT @5amDrils: My Son Be Having Me Crying 😂 https://t.co/RSWbNg5OuV
RT @RGIII: Please don’t share the video of the Damar Hamlin play. Share this because we are all Praying for him and his family. https://t.co/QnO7DpAo7u
RT @Tee_Grizzley: everyone RT this & make this viral. 😂 #LEBRONJAMESCHALLENGE https://t.co/BkwHeE92ey
RT @MeekMill: Cut off what don’t grow.....
Key Insights & Takeaways
The user frequently shares personal achievements and gratitude, highlighting a focus on personal growth and recognition. The content often includes hashtags related to sports and national pride, suggesting a strong connection to these themes. The use of verified status and consistent posting indicates a professional and dedicated approach to content creation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,112
- + 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 @Royal_two_one reveals an exceptionally influential Twitter presence with 15,112 followers. The account demonstrates a content-creator strategy, averaging 2,226.2 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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