raphael gomes
i make videos [email protected]
232,951
Followers
759
Following
2,409
Tweets
165.4
Avg Engagement
200
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @raphablueberry'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:2009-08-27
- Verification:No
- Location:usa ๐บ๐ธ
Data Summary
- Tweets Analyzed:2,219
- Avg Likes per Tweet:116.3
- Avg Retweets per Tweet:49.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,219 tweetsRaphael's tweets consistently receive high engagement, indicating a loyal and active audience. His content is both entertaining and relatable, which drives interaction.
116.3
Avg Likes/Tweet
49.1
Avg Retweets/Tweet
258,057
Total Likes
108,891
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
43
75th Percentile
34,335
Top Tweet
0.71
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
18.6%
Original
78.1%
Replies
3.0%
Retweets
0.4%
Quotes
0.0%
Threads
2.2%
With Media
13.9%
With Links
0.8%
With #Tags
81.5%
With @Mentions
59.0%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.21
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,219 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 66 retweets (3% 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 2,219 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 followersHis audience appears to be young adults and teenagers who enjoy humor, pop culture, and relatable content. They are likely fans of Taylor Swift and other similar artists.
Below Average
Audience Quality
39.9%
Suspicion Index
58.6%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.6%
Empty Bio
66.8%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
79.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
54.5%
<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.
38,227,702
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.1%
>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).
18.4%
Creators
9,218 accounts
14.8%
Consumers
7,376 accounts
66.8%
Dormant
33,406 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):
41
Verified Followers
0.04% of total
6,080
Protected Accounts
6.02% of total
6 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 | 14,100,511 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BethanyMota | 4,645,958 | Influencer | Fashion, Beauty, Lifestyle |
| @tanamongeau | 2,477,358 | Influencer | Reality TV, YouTube, Controversy |
| @6BillionPeople | 2,034,510 | - | - |
| @KameronBennett | 1,816,117 | DJ | Music, DJing, Booking |
| @PopCrave | 1,379,015 | Entertainment | Music, Entertainment, Celebrities |
| @JDaIey | 1,230,331 | - | - |
| @AKOSiLOLANiDORA | 824,514 | - | - |
| @NOH8Campaign | 801,184 | Activism | equality, bullying, discrimination |
| @TayeDiggs | 647,174 | Actor | acting, chocolate, hosting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,519
Followers With Bio
67,477
Followers Without Bio
33.19%
% With Bio
66.81%
% 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 2,219 analyzed110,493
Combined Engagement
19,008
Total Likes
91,485
Total Retweets
22,099
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @lowkeyalbert: my toxic trait is that i donโt know how to ask for help I disappear & come back when Iโm feeling better
RT @mo0nmamaa: People: itโs only Augโ Me: ๐๐๐ป๐ธโ๏ธ๐๐๐๐ป๐ธโ๏ธ๐ ๐๐๐ป๐ธโ๏ธ๐๐๐๐ป๐ธโ๏ธ๐ ๐๐๐ป๐ธโ๏ธ๐๐๐๐ป๐ธโ๏ธ๐ ๐๐๐ป๐ธโ๏ธ๐๐๐๐ป๐ธโ๏ธ๐ ๐๐๐ป๐ธโ๏ธ๐๐๐๐ป๐ธโ๏ธ๐ ๐๐๐ป๐ธโ๏ธ๐๐๐๐ป๐ธโ๏ธ๐ ๐๐๐ป๐ธโ๏ธโฆ
RT @internetphobic: nathaniel julius, a 16-year old boy who lived with down syndrome, was shot and killed by police for eating a cookie byโฆ
my legacy will forever be stopping taylor swift songs half way through to discuss a specific lyric for a good 5 minutes and then play it again because it didnโt hurt my feelings enough the first time around
lmao dying, people accused taylor swift of playing snake and she's literally playing snake on her new video ๐ #endgamemusicvideo https://t.co/XjzgGj5rQk
Key Insights & Takeaways
He leverages pop culture, especially Taylor Swift, to connect with his audience. His humor and relatable content drive high engagement. He uses personal anecdotes to create a deeper connection with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 232,951
- + High community engagement through conversations
- + 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 @raphablueberry reveals an well-established Twitter presence with 232,951 followers. The account demonstrates a conversation-first approach, averaging 165.4 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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