The University of Toledo
At UToledo, we believe in learning by doing. We take you beyond the textbooks and the four walls of a classroom.
69,583
Followers
1,905
Following
13,870
Tweets
15.9
Avg Engagement
466
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UToledo'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:2009-03-03
- Verification:No
- Location:Toledo, OH
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:11.1
- Avg Retweets per Tweet:4.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsThe account has average engagement with likes and retweets, indicating a moderate level of interaction. The top tweets include self-liking and countdowns, suggesting a mix of promotional and engaging content.
11.1
Avg Likes/Tweet
4.8
Avg Retweets/Tweet
36,093
Total Likes
15,495
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
15
75th Percentile
1,128
Top Tweet
0.23
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
60.7%
Original
2.4%
Replies
34.0%
Retweets
2.9%
Quotes
0.0%
Threads
2.0%
With Media
97.0%
With Links
18.2%
With #Tags
52.0%
With @Mentions
26.1%
With Emojis
225
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.8%
Weekday Posts
15.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 1,105 retweets (34% 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 3,248 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 likely includes prospective students, current students, alumni, and education professionals interested in experiential learning. They are engaged with content that highlights university life and achievements.
Average
Audience Quality
27.8%
Suspicion Index
38.2%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.9%
Empty Bio
43.9%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
49.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.7%
No URL
34.5%
<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.
3,696,054
Total Potential Reach
18
Median Follower Reach
126
75th Percentile Reach
3.4%
>1K followers
0.4%
>10K followers
0.1%
>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).
33.2%
Creators
3,323 accounts
22.9%
Consumers
2,285 accounts
43.9%
Dormant
4,392 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):
53
Verified Followers
0.53% of total
758
Protected Accounts
7.58% 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 |
|---|---|---|---|
| @CFBPlayoff | 627,582 | Sports Organization | Football, College, Playoff |
| @Banalmohayya | 170,413 | Psychologist | Academic, Poet, Psychologist |
| @MikeDeWine | 142,723 | Governor | Family, Governor, Ohio |
| @ladeedafarzana | 135,147 | Student Activist | Student Activism, JMI, Endorsement |
| @J_A_C_S | 131,083 | Chemistry | Chemistry, Research, News |
| @ohiou | 80,520 | Education | Education, Bobcats, Community |
| @elogemwandwe | 65,316 | Chef de projet | Cooking, Consulting, Love |
| @uguisujyo_KCCo | 60,973 | Voice Actress | MC, Voice Professional, Talk Magic |
| @Thefrugalgay11 | 60,341 | Financial Educator | reselling, real estate investing, financial independence |
| @MACSports | 56,180 | Sports Conference | Sports, MACtion, Conference |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,807
Followers With Bio
4,193
Followers Without Bio
58.07%
% With Bio
41.93%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed3,118
Combined Engagement
2,420
Total Likes
698
Total Retweets
624
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
They liked their own tweet. https://t.co/CinX23ouXh
3...2...1 https://t.co/y4VQ0BEPMq https://t.co/3KZfx7kb8L
Toledo - 49 Bowling Green - 17 #GoRockets https://t.co/A3zfjiFsAR
Sometimes the views here leave us speechless. 🌇 https://t.co/2bqhhSjTAI
RT @ToledoFB: 🏆 𝟐𝟎𝟐𝟐 𝐌𝐀𝐂 𝐂𝐇𝐀𝐌𝐏𝐈𝐎𝐍𝐒 🏆 https://t.co/G2I6H9eUAb
Key Insights & Takeaways
The account uses self-liking tweets to boost visibility and engagement. Countdowns and short, catchy phrases are used to capture attention. There is a focus on showcasing university moments that evoke strong reactions.
Strengths
- + Established follower base of 69,583
- + 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 @UToledo reveals an growing Twitter presence with 69,583 followers. The account demonstrates a content-creator strategy, averaging 15.9 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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