Jordan Hulls
Indiana University Team & Recruiting Coordinator | Former #iubb & Pro Basketball Player | Never Lose Hoop Foundation- @neverlosehoop ⤵️
50,550
Followers
916
Following
9,657
Tweets
61.5
Avg Engagement
351
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JordanHulls1'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:2011-01-31
- Verification:No
- Location:Bloomington, IN
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:12.2
- Avg Retweets per Tweet:49.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,231 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and aligns with his audience's interests.
12.2
Avg Likes/Tweet
49.3
Avg Retweets/Tweet
39,500
Total Likes
159,257
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
15
75th Percentile
16,823
Top Tweet
1.22
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
2.9%
Original
30.5%
Replies
62.6%
Retweets
4.0%
Quotes
0.0%
Threads
0.2%
With Media
52.2%
With Links
23.6%
With #Tags
94.8%
With @Mentions
29.8%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.48
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 2,023 retweets (63% 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 3,231 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 10,000 followersHis audience primarily consists of basketball fans and followers of Indiana University athletics. They are likely interested in sports updates, player performances, and community initiatives.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
100.0%
<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.
23,920,816
Total Potential Reach
35
Median Follower Reach
167
75th Percentile Reach
6.1%
>1K followers
0.9%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
927
Protected Accounts
9.27% 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 | 14,097,309 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1,805,115 | DJ | Music, DJing, Booking |
| @DickieV | 948,048 | Sportscaster | Basketball, Broadcasting, Philanthropy |
| @Clijsterskim | 473,682 | Tennis Player | Tennis, Mom, Fitness |
| @KOMINERT | 224,545 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @IUBloomington | 220,261 | Education | Education, Hoosiers, Bloomington |
| @HypeSir7 | 203,797 | - | - |
| @Schultz_Report | 200,392 | Sports Analyst | Sports, Analysis, Podcasts |
| @franfraschilla | 195,795 | Sports Analyst | College basketball, International hoops, Coaching |
| @rebeccagrants | 187,880 | Sportscaster | movies, TV, sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,623
Followers With Bio
4,377
Followers Without Bio
56.23%
% With Bio
43.77%
% 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 3,231 analyzed40,426
Combined Engagement
0
Total Likes
40,426
Total Retweets
8,085
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @AlabamaFTBL: 🤟 - Love You Too @TurnerSportsEJ "Make somebody's life Better." #BamaFactor #RollTide https://t.co/h7aN8YbLwj
RT @CJMcCollum: Scottie was really the equipment manager at a D2 NAIA school. Practiced with the team. Finessed his way into a scholarship. Went from 6’1-6’9... fast forward. 5th pick in the draft. H O F . Don’t matter where you go. Work on your game. They will find you 🗣 #thelas
RT @barstoolsports: We’re not crying, you’re crying https://t.co/PX37i15UEr
RT @JimIrsay: OK...20 winners, randomly chosen, and each winner receives $500 in gift certificates from the Indiana RESTAURANT of choice. Only requirement is to follow me, retweet this AND add-on the name of your restaurant of choice. Deadline tomorrow at noon ET. Alyssa's hatp
RT @NBAonTNT: Steve Nash's advice is worth a listen. 👂 (Via @NBATV) https://t.co/ZFSO3seKuB
Key Insights & Takeaways
He leverages his personal brand and experience to connect with fans and promote the team. His content often includes emotional and celebratory messages, which resonate with his audience. He uses hashtags and links to increase visibility and engagement with his tweets.
Strengths
- + Established follower base of 50,550
- + 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 @JordanHulls1 reveals an growing Twitter presence with 50,550 followers. The account demonstrates a conversation-first approach, averaging 61.5 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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