Dallas Austin
Grammy award-winning hit-maker. songwriters hall of fame . owner of the Rowdy Collection Rowdy records and DallasAustin Distribution
68,684
Followers
1,423
Following
13,355
Tweets
306.9
Avg Engagement
868
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DALLASAUSTIN'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:2008-03-21
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:3,102
- Avg Likes per Tweet:2.1
- Avg Retweets per Tweet:304.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,102 tweetsTheir tweets receive a moderate to high level of engagement, with an average of 262 likes and 376 retweets, indicating a dedicated and interactive fan base.
2.1
Avg Likes/Tweet
304.8
Avg Retweets/Tweet
6,593
Total Likes
945,539
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
4
75th Percentile
656,670
Top Tweet
4.47
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
62.0%
Original
21.8%
Replies
16.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.5%
With Media
32.7%
With Links
25.9%
With #Tags
51.0%
With @Mentions
1.1%
With Emojis
74
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.0
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 3,102 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 504 retweets (16% 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 3,102 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 music enthusiasts, fellow artists, and fans of their work, drawn to both their professional success and personal insights.
Average
Audience Quality
22.3%
Suspicion Index
21.2%
Low-Quality %
121
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.0%
Empty Bio
17.1%
<10 Tweets
24.1%
Mass Following (>2K)
0.0%
New (<90 days)
41.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
69.5%
No URL
9.4%
<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.
156,378,447
Total Potential Reach
121
Median Follower Reach
411
75th Percentile Reach
13.7%
>1K followers
3.9%
>10K followers
1.7%
>50K followers
1.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.4%
Creators
6,138 accounts
21.5%
Consumers
2,154 accounts
17.1%
Dormant
1,708 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):
141
Verified Followers
1.41% of total
1,056
Protected Accounts
10.56% of total
9 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 |
|---|---|---|---|
| @LiamPayne | 33,732,821 | Singer | Music, Sunshine, Singer |
| @MTV | 17,589,003 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,093,979 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Tip | 9,095,119 | Rapper | Music, Astrology, Booking |
| @PostMalone | 6,999,997 | Musician | Music, Tattoos, Beer |
| @NBCTheVoice | 4,904,726 | Singing | Music, Singing, Competition |
| @Tyga | 4,755,140 | Rapper | Music, Fashion, Lifestyle |
| @jakepaul | 4,582,436 | Boxer | Boxing, Influencer, Content Creator |
| @BeatsByAssassin | 2,246,198 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,016,301 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,700
Followers With Bio
3,300
Followers Without Bio
67.0%
% With Bio
33.0%
% 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 3,102 analyzed925,973
Combined Engagement
0
Total Likes
925,973
Total Retweets
185,195
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: Next I’m buying Coca-Cola to put the cocaine back in
RT @elonmusk: Listen, I can’t do miracles ok https://t.co/z7dvLMUXy8
RT @Delta: RT if you need a vacation. We're trying to see something.
RT @justinbieber: gotta show love to big bro @iamwill’s new video for #thehardestever. #willpower - http://t.co/7JBfYOim
RT @BrunoMars: When are people gonna learn that hating on someone doesn't do shit... #GoDoSomethingWitYoSelf
Key Insights & Takeaways
DALLASAUSTIN frequently shares personal and emotional content, which resonates with their audience. They also engage with other artists and music-related topics, highlighting their industry connections. Their verified status and follower count suggest a level of credibility and influence within the music community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,684
- + 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 @DALLASAUSTIN reveals an well-established Twitter presence with 68,684 followers. The account demonstrates a content-creator strategy, averaging 306.9 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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