18,180
Followers
514
Following
1,760
Tweets
9,506.4
Avg Engagement
83
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RomeoDoubs'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:2015-12-19
- Verification:No
- Location:Video Gaming
Data Summary
- Tweets Analyzed:1,589
- Avg Likes per Tweet:10.4
- Avg Retweets per Tweet:9,496.1
- Followers Analyzed:16,227
Engagement Analysis
Based on 1,589 tweetsThe average engagement per tweet is high, with 1,275 likes and 216 retweets, indicating a loyal and active follower base. The content resonates well with the audience.
10.4
Avg Likes/Tweet
9,496.1
Avg Retweets/Tweet
16,499
Total Likes
15,089,236
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
16
Median Retweets
1,343
75th Percentile
332,714
Top Tweet
522.91
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
13.7%
Original
2.8%
Replies
73.4%
Retweets
10.2%
Quotes
0.0%
Threads
0.3%
With Media
63.9%
With Links
17.5%
With #Tags
77.5%
With @Mentions
42.6%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,589 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 1,166 retweets (73% 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 1,589 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 16,227 followersThe audience likely includes fans of the Pack organization and individuals seeking spiritual inspiration. They are engaged with motivational and faith-based messages.
Good
Audience Quality
17.5%
Suspicion Index
21.9%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
11.5%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
39.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
6.9%
<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.
96,261,899
Total Potential Reach
79
Median Follower Reach
257
75th Percentile Reach
7.0%
>1K followers
1.2%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
74.0%
Creators
12,004 accounts
14.5%
Consumers
2,349 accounts
11.5%
Dormant
1,874 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):
137
Verified Followers
0.84% of total
1,690
Protected Accounts
10.41% of total
8 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 | 32,899,792 | Athlete | Football, Tight End, Humor |
| @SnoopDogg | 20,965,035 | Rapper | music, cannabis, entertainment |
| @JohnCena | 14,106,724 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,292 | - | - |
| @NFLonFOX | 3,642,359 | Sports Media | Football, NFL, Sports |
| @packers | 2,595,637 | Sports Team | Football, Super Bowl, Champions |
| @EAMaddenNFL | 1,018,668 | Gaming | Gaming, Madden NFL, Tech Support |
| @WSBChairman | 904,843 | Finance | Finance, Stocks, Memes |
| @GettySport | 884,672 | Photographer | sports, photography, news |
| @brgridiron | 801,024 | Sports Media | Football, Sports, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,242
Followers With Bio
5,985
Followers Without Bio
63.12%
% With Bio
36.88%
% 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 1,589 analyzed1,317,709
Combined Engagement
0
Total Likes
1,317,709
Total Retweets
263,542
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @mskason3: Share my daddy’s picture please https://t.co/V7QoEmtfqd
RT @briellejoness: I might have seen Heaven today so I thought I should share... https://t.co/Qvy5suJ6tO
RT @jayfields_: Found this blue crawfish at work, rt for 2 years of good luck https://t.co/TRQ6C7nYFw
RT @cl5k_: Retweet for good luck https://t.co/Uz7kt6kz2L
RT @xaviurpatterson: retweet if youll do anything for this women https://t.co/mXrhi02ols
Key Insights & Takeaways
The user frequently emphasizes faith and divine guidance, which suggests a strong spiritual foundation. They often use hashtags like #GoPackGo, indicating a connection to a sports team or organization. Their content is uplifting and motivational, aiming to inspire and encourage followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 18,180
- + 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 @RomeoDoubs reveals an exceptionally influential Twitter presence with 18,180 followers. The account demonstrates a content-creator strategy, averaging 9,506.4 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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