Quad-City Times
The top stories and more from the Quad-City Times. News from Iowa, Illinois and the Quad-Cities. Retweets are not endorsements.
50,512
Followers
2,239
Following
201,208
Tweets
0.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @qctimes'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:2007-11-26
- Verification:No
- Location:Davenport, IA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:0.6
- Avg Retweets per Tweet:0.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsOn average, tweets receive around 50 likes and 20 retweets, indicating moderate engagement. The account's content is likely to resonate with followers who are interested in real-time updates and human-interest stories.
0.6
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
1,918
Total Likes
616
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
179
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
100.0%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.7%
With Media
100.0%
With Links
0.0%
With #Tags
0.0%
With @Mentions
0.3%
With Emojis
172
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.5%
Weekday Posts
25.5%
Weekend Posts
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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.
Posting Patterns & Optimal Timing
Based on 3,249 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 primary audience includes residents of the Quad-Cities and surrounding areas, as well as individuals interested in local news and community events. The content appeals to a broad demographic, including families and professionals.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
6
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)
89.2%
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.
17,755,112
Total Potential Reach
6
Median Follower Reach
57
75th Percentile Reach
3.6%
>1K followers
0.5%
>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).
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
893
Protected Accounts
8.93% 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 |
|---|---|---|---|
| @JohnCena | 14,098,654 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ceoworld | 294,801 | CEO | business, leadership, journalism |
| @MuseumWeek | 230,454 | Cultural Event | art, culture, heritage |
| @OpenSecretsDC | 165,304 | Researcher | politics, money, nonpartisan |
| @RestaurandoDign | 153,840 | - | - |
| @FemMajority | 95,446 | Activist | women's rights, equality, activism |
| @FORSCOM | 94,411 | - | - |
| @JeanChatzky | 81,445 | Financial journalist | finance, writing, podcasting |
| @Cruellaisdevine | 79,126 | Activist | politics, activism, climate change |
| @brooklynmarie | 78,422 | Fact-checker | debunker, chaotic good, rogue |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,320
Followers With Bio
5,680
Followers Without Bio
43.2%
% With Bio
56.8%
% 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 3,249 analyzed513
Combined Engagement
375
Total Likes
138
Total Retweets
103
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Branden Colvin Sr.'s family was notified Saturday that his remains had been found at the building which collapsed a week ago. https://t.co/GaEm9T0bF2
“Steve loved reporting sports and he did it exceedingly well,’’ Dan Hayes said. “He was the most prolific journalist I’ve ever known. We’re all poorer with his passing.’’ https://t.co/6MBKzWEmWY
Justice Jacobs lost everything she owns when The Davenport apartments partially collapsed Sunday. Now she's telling her story. https://t.co/34lMu39Ezv
Families say at least two men still in collapsed Davenport apartment https://t.co/STj5FlaK1J
Matt Coss says goodbye to the Quad-City Times after 11 years. He reflects back on the last decade. https://t.co/yV7oCEMD5F
Key Insights & Takeaways
The account frequently shares human-interest stories that highlight personal impact and community connections. It covers a range of topics, including local news, personal tragedies, and community events. The use of links suggests a focus on providing detailed information and sources for each story.
Strengths
- + Established follower base of 50,512
- + 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 @qctimes reveals an growing Twitter presence with 50,512 followers. The account demonstrates a content-creator strategy, averaging 0.8 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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