Cullen
just laugh. I promise it helps.
84,283
Followers
2,388
Following
51,105
Tweets
796.5
Avg Engagement
159
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Culligan27'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:2009-03-06
- Verification:No
- Location:Alabama
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:78.2
- Avg Retweets per Tweet:718.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsCulligan27's tweets receive high engagement, with an average of over 2,700 likes and retweets per post, indicating a highly interactive audience.
78.2
Avg Likes/Tweet
718.3
Avg Retweets/Tweet
248,005
Total Likes
2,277,780
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
50
Median Likes
5
Median Retweets
104
75th Percentile
514,671
Top Tweet
9.45
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
59.9%
Original
12.1%
Replies
15.4%
Retweets
12.6%
Quotes
0.0%
Threads
1.0%
With Media
75.0%
With Links
17.4%
With #Tags
47.9%
With @Mentions
55.0%
With Emojis
130
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.82
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.0%
Weekday Posts
25.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 487 retweets (15% 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 3,171 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 followersTheir audience likely enjoys humor, memes, and content related to celebrities and internet culture.
Average
Audience Quality
31.6%
Suspicion Index
39.3%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
45.4%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
68.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
29.4%
<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.
33,056,618
Total Potential Reach
5
Median Follower Reach
29
75th Percentile Reach
1.9%
>1K followers
0.6%
>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).
28.2%
Creators
2,819 accounts
26.4%
Consumers
2,644 accounts
45.4%
Dormant
4,537 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):
22
Verified Followers
0.22% of total
1,269
Protected Accounts
12.69% 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 | 14,097,087 | Wrestler | Wrestling, Motivation, Self-promotion |
| @shanedawson | 8,153,247 | YouTuber | Merchandise, YouTube, Comedy |
| @KingBach | 2,371,250 | Actor | Comedy, Acting, YouTube |
| @AndrewSiwicki | 924,866 | Content Creator | content creation, coffee, sushi |
| @ZachBoychuk | 827,729 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @larrykim | 726,900 | Entrepreneur | Startups, AdWords, Chatbots |
| @tannerfox | 541,891 | YouTuber | Youtube, SpacestationGG, Fan |
| @HeyBuckHey | 470,736 | Influencer | joy, possibility, delight |
| @Jagnarok | 399,791 | Wrestling Fan | Wrestling, ProudFather, LiamOReillyGuy |
| @BrookAndBailey | 313,805 | YouTubers | Beauty, Lifestyle, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,081
Followers With Bio
4,919
Followers Without Bio
50.81%
% With Bio
49.19%
% 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 3,171 analyzed1,397,795
Combined Engagement
0
Total Likes
1,397,795
Total Retweets
279,559
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @itsdaneesaur: Can everybody just Please look at this cat https://t.co/GEPe1XzurJ
RT @LVaughanJones: When your drone runs out of battery over a lake, timing is everything... https://t.co/btDekWXpoV
RT @logan_harrell: This Halloween doggo needed to be recharged https://t.co/0ptH6OP1Bq
RT @Lakers: Same arena. Same basket. Same dunk. 19 years apart. 💜💛 https://t.co/fj7HRmqv3c
RT @JoshuaPotash: This is so crazy it’s morning now in New Zealand and they’re marching for #BlackLivesMatter https://t.co/KxegRDzTK3
Key Insights & Takeaways
They frequently engage with content creators like Shane Dawson, suggesting a strong interest in entertainment and comedy. Their use of hashtags like #conspiracytheories indicates a blend of humor and speculative content. They often include emojis and casual language, which helps to create a relatable and entertaining tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,283
- + 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 @Culligan27 reveals an well-established Twitter presence with 84,283 followers. The account demonstrates a content-creator strategy, averaging 796.5 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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