Dayton Basketball
Go Flyersโ๏ธ๐
72,672
Followers
890
Following
22,960
Tweets
101.9
Avg Engagement
447
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DaytonMBB'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:2011-03-28
- Verification:No
- Location:Dayton, OH
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:87.8
- Avg Retweets per Tweet:14.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,243 tweetsOn average, tweets receive 2,198 likes and 353 retweets, indicating a moderately engaged audience. The account's verified status at 1.1% suggests limited official endorsement.
87.8
Avg Likes/Tweet
14.1
Avg Retweets/Tweet
284,799
Total Likes
45,603
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
50
Median Likes
5
Median Retweets
113
75th Percentile
3,943
Top Tweet
1.4
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.2%
Original
4.7%
Replies
11.7%
Retweets
7.4%
Quotes
0.0%
Threads
0.4%
With Media
85.4%
With Links
59.4%
With #Tags
59.0%
With @Mentions
74.5%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.63
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.1%
Weekday Posts
32.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 378 retweets (12% 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 3,243 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 followersThe audience is likely sports fans, students, and alumni of the University of Dayton. They are interested in basketball updates and campus-related content.
Average
Audience Quality
28.6%
Suspicion Index
41.2%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.4%
Empty Bio
43.4%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
47.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
34.0%
<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.
6,853,318
Total Potential Reach
23
Median Follower Reach
178
75th Percentile Reach
7.1%
>1K followers
1.1%
>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).
36.3%
Creators
3,633 accounts
20.3%
Consumers
2,028 accounts
43.4%
Dormant
4,339 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):
114
Verified Followers
1.14% of total
743
Protected Accounts
7.43% of total
4 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 |
|---|---|---|---|
| @GoodmanHoops | 310,918 | Basketball Analyst | Basketball, Analyst, Hoops |
| @davenewworld_2 | 289,293 | Reporter | Racism, Reporting, Media |
| @Fashion_Tribune | 211,153 | Fashion Blogger | Fashion, Style, Trends |
| @franfraschilla | 195,717 | Sports Analyst | College basketball, International hoops, Coaching |
| @rebeccagrants | 188,614 | Sportscaster | movies, TV, sports |
| @coffee_anytime | 113,971 | - | - |
| @TamieUSCongress | 104,339 | - | - |
| @UNISWAG | 104,183 | Sports Media | Sports, Uniforms, Business |
| @SocialSavvyGeek | 101,701 | Coach | Coaching, Impact, Freedom |
| @batengineer | 96,350 | Aircraft Engineer | Aircraft, Engineering, Aviation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,159
Followers With Bio
4,841
Followers Without Bio
51.59%
% With Bio
48.41%
% 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 3,243 analyzed17,371
Combined Engagement
15,055
Total Likes
2,316
Total Retweets
3,474
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/OTucLYSSew
Guess youโre not in Kansas anymore ๐คทโโ๏ธ https://t.co/45es9zpqE6
FLYERS WIN!!!! โ๏ธ๐ https://t.co/PRx7sdzLqm
๐๐ก๐๐ฉ๐๐ฅ ๐๐ฅ๐ฎ๐ โ๏ธ๐ https://t.co/UQWSXmXYKy
๐๐๐๐ ๐๐๐๐ ๐๐ฏ๐๐ง๐ญ๐ฌ ๐๐ง๐ฏ๐ข๐ญ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐ก๐๐ฆ๐ฉ๐ข๐จ๐ง๐ฌ โ๏ธ๐ The Dayton Flyers https://t.co/ThRpmeOd0k
Key Insights & Takeaways
The account uses emojis and hashtags to create a casual, energetic tone. It frequently references campus landmarks like the Chapel Blue, indicating a focus on university identity. The top tweets include humor and relatability, which likely contribute to engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,672
- + 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 @DaytonMBB reveals an well-established Twitter presence with 72,672 followers. The account demonstrates a content-creator strategy, averaging 101.9 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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