Brian Hazard
Somehow I never outgrew the 80s 🖤🎹
2,107,047
Followers
1,437,514
Following
808
Tweets
8.1
Avg Engagement
5,006
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @colortheory'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: Mega Influencer (1M+)
- Account Age:2008-12-04
- Verification:No
- Location:Huntington Beach, CA
Data Summary
- Tweets Analyzed:475
- Avg Likes per Tweet:4.9
- Avg Retweets per Tweet:3.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 475 tweetsTheir tweets receive moderate engagement, with an average of 61 likes and 14 retweets. They often share personal musical reflections and promote new releases, which likely drive interaction.
4.9
Avg Likes/Tweet
3.1
Avg Retweets/Tweet
2,348
Total Likes
1,484
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
7
75th Percentile
289
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
19.4%
Original
59.4%
Replies
20.6%
Retweets
0.6%
Quotes
0.0%
Threads
0.4%
With Media
26.7%
With Links
20.6%
With #Tags
88.8%
With @Mentions
40.8%
With Emojis
120
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.07
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
82.9%
Weekday Posts
17.1%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 475 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 98 retweets (21% 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 475 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 50,000 followersTheir followers likely appreciate retro music and synthwave, with an interest in electronic and indie genres. They may also follow artists like Taylor Swift and be engaged with Web3 music platforms.
Average
Audience Quality
22.4%
Suspicion Index
21.1%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.7%
Empty Bio
24.9%
<10 Tweets
22.3%
Mass Following (>2K)
0.0%
New (<90 days)
38.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.8%
No URL
14.5%
<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.
85,824,067
Total Potential Reach
79
Median Follower Reach
329
75th Percentile Reach
9.8%
>1K followers
1.5%
>10K followers
0.5%
>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).
50.3%
Creators
25,173 accounts
24.7%
Consumers
12,356 accounts
24.9%
Dormant
12,471 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):
901
Verified Followers
0.89% of total
7,782
Protected Accounts
7.71% of total
8 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 | 14,105,932 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MTVUK | 2,426,149 | Entertainment | Little Mix, HERSTORY, BRITs |
| @zlj517 | 1,996,482 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KameronBennett | 1,808,950 | DJ | Music, DJing, Booking |
| @Valeria_Martell | 1,538,158 | Influencer | Fashion, Mexico, Contact |
| @KalaniBallFree | 1,245,152 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @NadirOfc | 1,201,021 | - | - |
| @JohnFetterman | 948,156 | Politician | Politics, Pennsylvania, Senate |
| @AxieInfinity | 880,348 | Gaming | Battle, Collect, Earn |
| @MilesSTEREOS | 861,916 | Musician | Guitarist, Writer, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,989
Followers With Bio
26,009
Followers Without Bio
74.25%
% With Bio
25.75%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 475 analyzed712
Combined Engagement
272
Total Likes
440
Total Retweets
142
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @Mr_Mike_Clarke: I have finally written my first novel! I put a lot of myself into those pages, so putting them out there into the worl…
33 years ago today, this album changed my life (not an overstatement). https://t.co/sDVBW83Gu0
My new #synthwave single “The Same” will be available tomorrow at 9AM PST on @jointhepressure's #Web3Music platform https://t.co/GeO5p6l2C4 Set a reminder for my Twitter Space for more updates. Don’t miss out on the future perks to come!👇 https://t.co/iu3JPDhEFA https://t.co/chY
RT @Marta_Salogni: Depeche Mode’s Memento Mori is out today! May it fly high and proud. Thank you James, Dave and Martin for making me a pa…
I'm quite enjoying the new @taylorswift13 album, #Midnights. The production is sparse and warm and mostly electronic, full of reese basses, muted drums, and occasional synth flourishes. My favorite tracks are “Mastermind” and “Maroon.” Have you heard it? https://t.co/yiBt5tUir
Key Insights & Takeaways
They maintain a strong nostalgic connection to the 80s, which influences their content and audience appeal. Their engagement is driven by personal musical experiences and new releases. They are active in promoting new music, especially through Web3 platforms and collaborations.
Strengths
- + Established follower base of 2,107,047
- + High community engagement through conversations
- + 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 @colortheory reveals an growing Twitter presence with 2,107,047 followers. The account demonstrates a conversation-first approach, averaging 8.1 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access