75,723
Followers
4,759
Following
9,100
Tweets
602.5
Avg Engagement
311
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ColePendery'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:2009-06-24
- Verification:No
- Location:TX - LA
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:218.5
- Avg Retweets per Tweet:384.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,173 tweetsOn average, his tweets receive around 1,395 likes and 438 retweets, suggesting a moderate level of interaction with his followers.
218.5
Avg Likes/Tweet
384.0
Avg Retweets/Tweet
693,180
Total Likes
1,218,587
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
127
Median Likes
20
Median Retweets
477
75th Percentile
209,293
Top Tweet
7.96
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
59.5%
Original
24.6%
Replies
5.8%
Retweets
10.2%
Quotes
0.0%
Threads
0.3%
With Media
30.9%
With Links
7.6%
With #Tags
38.6%
With @Mentions
28.0%
With Emojis
45
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
1.76
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 184 retweets (6% 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 3,173 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 appears to be music enthusiasts and fans of his work, possibly younger individuals interested in soulful and authentic content.
Average
Audience Quality
22.9%
Suspicion Index
19.4%
Low-Quality %
97
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.5%
Empty Bio
16.9%
<10 Tweets
28.1%
Mass Following (>2K)
0.0%
New (<90 days)
42.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
9.3%
<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.
26,521,068
Total Potential Reach
97
Median Follower Reach
337
75th Percentile Reach
7.9%
>1K followers
1.0%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.7%
Creators
5,866 accounts
24.5%
Consumers
2,449 accounts
16.9%
Dormant
1,685 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):
28
Verified Followers
0.28% of total
1,306
Protected Accounts
13.06% of total
7 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 |
|---|---|---|---|
| @JVCKJ | 5,368,366 | Musician | Music, Pastel, Basketball |
| @DezBryant | 3,475,244 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @6BillionPeople | 2,019,545 | - | - |
| @ParisJackson | 1,203,028 | Musician | Music, Recorders, WME & IMG |
| @NOH8Campaign | 800,299 | Activism | equality, bullying, discrimination |
| @corbinbleu | 741,492 | Entertainer | Actor, Singer, Dancer |
| @larrykim | 726,053 | Entrepreneur | Startups, AdWords, Chatbots |
| @ARTEM_KLYUSHIN | 717,002 | Politician | Russian politics, diplomacy, international relations |
| @MAXMusic | 703,605 | Musician | Music, Butterflies, Tour |
| @PleasureEllis | 681,371 | Entertainer | Music, Transformation, Celebration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,053
Followers With Bio
2,947
Followers Without Bio
70.53%
% With Bio
29.47%
% 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 3,173 analyzed799,973
Combined Engagement
0
Total Likes
799,973
Total Retweets
159,995
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Jevholution: i noticed there was a blank wall at mcdonald’s so i decided to make this fake poster of me and my friend. It’s now been 51 days since i hung it up. https://t.co/5OTf5aR4vm
RT @mrmedina: we dead https://t.co/lUys7DptdZ
RT @elonmusk: If life is a video game, the graphics are great, but the plot is confusing & the tutorial is way too long
RT @jaden: Arrest The Police That Killed Breonna Taylor!
RT @MLKChefLean: Sharing this because corona https://t.co/ofBDQE58RJ
Key Insights & Takeaways
ColePendery frequently collaborates with other artists, highlighting his network and potential for joint projects. His tweets often include personal reflections, indicating a focus on authenticity and emotional connection. He uses Twitter as a platform to share both professional and personal content, suggesting a blend of public and private expression.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,723
- + 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 @ColePendery reveals an well-established Twitter presence with 75,723 followers. The account demonstrates a content-creator strategy, averaging 602.5 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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