Isaiah Thomas
Proud Father! If all I'm remembered for is being a good basketball player, then I've done a bad job with the rest of my life. 2x @NBA All Star 🏁
1,865,330
Followers
1,238
Following
11,639
Tweets
1,534.7
Avg Engagement
3,206
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @isaiahthomas'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: Mega Influencer (1M+)
- Account Age:2009-09-08
- Verification:No
- Location:Tacoma, WA
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:1,312.1
- Avg Retweets per Tweet:222.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHis tweets typically receive high engagement, with an average of 50,894 likes and 5,380 retweets per post. This indicates a strong and active community that values his content.
1,312.1
Avg Likes/Tweet
222.6
Avg Retweets/Tweet
4,259,044
Total Likes
722,434
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
252
Median Likes
25
Median Retweets
778
75th Percentile
124,100
Top Tweet
0.82
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
40.2%
Original
11.0%
Replies
10.8%
Retweets
38.0%
Quotes
0.0%
Threads
0.1%
With Media
48.7%
With Links
5.7%
With #Tags
38.8%
With @Mentions
46.6%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
3.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 352 retweets (11% 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 3,246 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 fans, family supporters, and followers interested in personal stories. The engagement suggests a mix of admiration and emotional connection from his followers.
Below Average
Audience Quality
35.8%
Suspicion Index
46.9%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.0%
Empty Bio
51.5%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
77.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
37.9%
<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.
17,166,420
Total Potential Reach
6
Median Follower Reach
35
75th Percentile Reach
1.9%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
26.6%
Creators
13,316 accounts
21.8%
Consumers
10,911 accounts
51.5%
Dormant
25,773 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):
461
Verified Followers
0.46% of total
9,469
Protected Accounts
9.38% of total
2 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 |
|---|---|---|---|
| @ShamsCharania | 2,023,992 | Sports Journalist | NBA, Insider, Writer |
| @JAYVERSACE | 1,647,131 | Entertainer | olorisa, obatalá, afrotunes |
| @kylekuzma | 1,290,941 | Basketball Player | Basketball, Lakers, Champion |
| @plies | 1,026,380 | Rapper | Music, Entertainment, Videos |
| @yashar | 705,305 | Journalist | Politics, News, Culture |
| @PROIBIDAODORIO2 | 560,258 | Content Creator | Music, Rio de Janeiro, YouTube |
| @uninterrupted | 474,768 | Athlete Empowerment | Athlete empowerment, Brand founders, MoreThanAnAthlete |
| @noelitoflow | 472,924 | Inspirational Speaker | God, Jesus, Purpose |
| @Moreno | 430,157 | Influencer | Business, Manager, Serious |
| @CryptoBro100x | 381,395 | Cryptocurrency Trader | Trading, Promoting, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,968
Followers With Bio
51,031
Followers Without Bio
49.47%
% With Bio
50.53%
% 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 3,246 analyzed482,963
Combined Engagement
328,024
Total Likes
154,939
Total Retweets
96,593
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @chadwickboseman: WAKANDA FOREVER https://t.co/qWGa82amhW
Heard that before lol https://t.co/oxOEWdvRyT
Wish my lil sis was here!!! Damn smh 🙏🏾
@RealSkipBayless I hope they fire you bro!!! For you to even THINK of the game is very sad.
No way KD can be that Ashy!!!!!!!! No way lol. OMG https://t.co/Llv9S8qOxf
Key Insights & Takeaways
Thomas often shares personal and emotional moments, which resonate deeply with his audience. He uses his platform to highlight family and personal achievements, not just basketball. His authenticity and vulnerability help build a loyal and engaged following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,865,330
- + 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 @isaiahthomas reveals an exceptionally influential Twitter presence with 1,865,330 followers. The account demonstrates a content-creator strategy, averaging 1,534.7 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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