Tiago Splitter
🏀 Basketball Coach | Adventure Seeker 🏔️ ⛵️🏖️🙏Christian, ❤️Family and 🏝️ Life Connoisseur🌎
201,055
Followers
1,038
Following
6,362
Tweets
405.9
Avg Engagement
1,534
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tiagosplitter'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:2010-03-02
- Verification:No
- Location:🌎
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:133.8
- Avg Retweets per Tweet:272.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,235 tweetsHis tweets receive high average likes and retweets, indicating strong audience interaction. The content is both personal and engaging, fostering a sense of connection.
133.8
Avg Likes/Tweet
272.1
Avg Retweets/Tweet
432,805
Total Likes
880,237
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
2
Median Retweets
82
75th Percentile
143,660
Top Tweet
2.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
35.1%
Original
11.7%
Replies
19.7%
Retweets
33.6%
Quotes
0.0%
Threads
0.1%
With Media
65.5%
With Links
14.0%
With #Tags
40.2%
With @Mentions
33.1%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
1.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 636 retweets (20% 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 3,235 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 includes basketball enthusiasts, adventure seekers, and individuals interested in a balanced lifestyle. Followers are likely drawn to his authenticity and relatable content.
Average
Audience Quality
33.1%
Suspicion Index
40.1%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.6%
Empty Bio
42.8%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
70.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
31.5%
<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.
111,114,343
Total Potential Reach
13
Median Follower Reach
93
75th Percentile Reach
3.4%
>1K followers
0.7%
>10K followers
0.3%
>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).
39.2%
Creators
19,582 accounts
18.1%
Consumers
9,037 accounts
42.8%
Dormant
21,381 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):
212
Verified Followers
0.21% of total
8,741
Protected Accounts
8.74% 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 |
|---|---|---|---|
| @KDTrey5 | 20,842,970 | Basketball Player | Basketball, Entrepreneurship, Media |
| @marcosmion | 13,896,160 | TV Host | actor, TV host, entrepreneur |
| @gadelmaleh | 7,559,775 | Comedian | Comedy, Acting, Stand-up |
| @vinijr | 6,260,489 | Athlete | Gaming, Esports, Content Creation |
| @NBAonTNT | 5,247,386 | - | - |
| @rickyrubio9 | 2,820,151 | Basketball Player | Basketball, Family, Fashion |
| @SteveNash | 2,519,057 | Basketball Player | Basketball, Philanthropy, Community |
| @6BillionPeople | 2,033,775 | - | - |
| @BrooklynNets | 2,023,523 | Sports Team | Basketball, Nets Level, Brooklyn |
| @isaiahthomas | 1,872,920 | Basketball Player | Basketball, Fatherhood, All Star |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,970
Followers With Bio
54,030
Followers Without Bio
45.97%
% With Bio
54.03%
% 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 3,235 analyzed433,529
Combined Engagement
103,778
Total Likes
329,751
Total Retweets
86,706
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: If you’re wondering whether it’s an overreaction to cancel large gatherings and public events (and I love basketball), her…
RT @into_the_brush: I live in Seattle, I have all symptoms of COVID-19 and have a history of chronic bronchitis. Since I work in a physic…
RT @KyleKorver: I've been trying to write this for a while. https://t.co/Qkt8aoVtdE
There is no such thing as bad publicity. https://t.co/6X5I6IqaIn
Chilling https://t.co/kAGghwSbB6
Key Insights & Takeaways
He blends personal stories with professional achievements, creating a relatable narrative. His content highlights a mix of sports, travel, and spirituality, appealing to a broad audience. He uses personal experiences to connect with followers, enhancing engagement and authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 201,055
- + 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 @tiagosplitter reveals an well-established Twitter presence with 201,055 followers. The account demonstrates a content-creator strategy, averaging 405.9 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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