Durham Bulls
Just taking it one tweet at a time, hope we can help the ball club.
90,487
Followers
2,309
Following
63,173
Tweets
60.1
Avg Engagement
918
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DurhamBulls'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:2009-02-16
- Verification:No
- Location:Durham, NC
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:52.3
- Avg Retweets per Tweet:7.7
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,250 tweetsThe account shows moderate to high engagement, with a steady number of likes and retweets. The content is well-received, especially when it highlights team victories and milestones.
52.3
Avg Likes/Tweet
7.7
Avg Retweets/Tweet
170,086
Total Likes
25,114
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
1
Median Retweets
61
75th Percentile
4,316
Top Tweet
0.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
47.7%
Original
47.4%
Replies
3.3%
Retweets
1.6%
Quotes
0.0%
Threads
0.4%
With Media
48.6%
With Links
9.5%
With #Tags
55.2%
With @Mentions
18.4%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.4%
Weekday Posts
25.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 108 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 3,250 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 10,999 followersThe audience is primarily interested in baseball and the Durham Bulls, likely including fans, local residents, and sports enthusiasts. They engage with content that highlights team successes and game updates.
Average
Audience Quality
22.1%
Suspicion Index
29.7%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.4%
Empty Bio
25.9%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
42.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.0%
No URL
19.1%
<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.
23,233,684
Total Potential Reach
47
Median Follower Reach
198
75th Percentile Reach
5.7%
>1K followers
0.9%
>10K followers
0.2%
>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).
55.6%
Creators
6,113 accounts
18.5%
Consumers
2,033 accounts
25.9%
Dormant
2,853 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):
117
Verified Followers
1.06% of total
1,296
Protected Accounts
11.78% 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 | 14,096,957 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 799,133 | Activism | equality, bullying, discrimination |
| @RealJayWilliams | 619,601 | Athlete | Education, Learning, Motivation |
| @IamMzilikazi | 551,014 | Musician | Pan-African music, Album, Rise |
| @LeBatardShow | 459,814 | Sports Talk | Sports, Comedy, Social Media |
| @zammit_marc | 386,343 | Filmmaker | Film, Acting, Producing |
| @EvanKirstel | 347,198 | Tech Influencer | Tech, B2B, Social media |
| @TandMHD | 247,721 | Music Producer | Music, Production, TV |
| @shomaristone | 230,971 | Reporter | News, Emmy Awards, Journalism |
| @TheDogePoundNFT | 188,845 | NFT Creator | NFTs, Doges, Moon Mission |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,551
Followers With Bio
4,448
Followers Without Bio
59.56%
% With Bio
40.44%
% 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 3,250 analyzed13,698
Combined Engagement
10,037
Total Likes
3,661
Total Retweets
2,740
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Sometimes you win sometimes you lose SOMETIMES YOU WIN A TRIPLE-A NATIONAL CHAMPIONSHIP #BULLieve https://t.co/DuHdIpF20o
Good morning. Tyler Glasnow's scheduled to pitch tonight in the Bull City. https://t.co/x2eyYYF7fL
RT @Canes: Here's the deal, y'all: 1 RT = 1 #NHLAllStarVote for Martin Necas https://t.co/qZYhbzBQdr
INTERNATIONAL LEAGUE CHAMPIONS #BULLieve https://t.co/Ta5eKR297N
BY GOSH, THAT'S TYLER GLASNOW'S MUSIC Tyler is scheduled to pitch for us tonight in Norfolk as part of an MLB Rehab Assignment https://t.co/I5K6icchpL
Key Insights & Takeaways
The account frequently highlights team wins and championships, which likely drives engagement. It shares game-related updates, keeping followers informed about upcoming events and player activities. The use of hashtags like #BULLieve reinforces brand identity and community connection.
Strengths
- + Established follower base of 90,487
- + 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 @DurhamBulls reveals an growing Twitter presence with 90,487 followers. The account demonstrates a content-creator strategy, averaging 60.1 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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