Dallas Smith
New album out now
65,732
Followers
13,949
Following
15,075
Tweets
530.5
Avg Engagement
266
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dallassmith'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:2009-08-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:43.7
- Avg Retweets per Tweet:486.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,192 tweetsOn average, their tweets receive a decent number of likes and retweets, indicating a loyal and active audience. The engagement is consistent across their content.
43.7
Avg Likes/Tweet
486.8
Avg Retweets/Tweet
139,412
Total Likes
1,553,858
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
49
75th Percentile
467,995
Top Tweet
8.07
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
35.4%
Original
31.1%
Replies
18.3%
Retweets
15.2%
Quotes
0.0%
Threads
0.9%
With Media
50.6%
With Links
16.5%
With #Tags
63.0%
With @Mentions
28.2%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.88
Reply/Original Ratio
0.83
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 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 585 retweets (18% 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 3,192 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 appears to be interested in music, personal growth, and mental health topics. They also engage with fans through heartfelt and candid posts.
Average
Audience Quality
20.5%
Suspicion Index
25.1%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
20.5%
<10 Tweets
14.1%
Mass Following (>2K)
0.0%
New (<90 days)
38.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
13.1%
<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.
18,568,261
Total Potential Reach
56
Median Follower Reach
220
75th Percentile Reach
7.8%
>1K followers
1.3%
>10K followers
0.5%
>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).
57.6%
Creators
5,760 accounts
21.9%
Consumers
2,188 accounts
20.5%
Dormant
2,052 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):
76
Verified Followers
0.76% of total
1,145
Protected Accounts
11.45% 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 |
|---|---|---|---|
| @BlueJays | 2,426,763 | Sports Team | Baseball, Toronto, Social Media |
| @KameronBennett | 1,809,533 | DJ | Music, DJing, Booking |
| @billyraycyrus | 1,465,146 | Musician | music, tour dates, official |
| @JDaIey | 1,244,982 | - | - |
| @ZachBoychuk | 826,029 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @FrankFigliuzzi1 | 528,484 | - | - |
| @PalmerReport | 523,386 | Political Analyst | - |
| @JamesMelville | 438,513 | Consultant | Communications, Sponsorship, Writing |
| @Weinbach | 373,095 | Sports Commentator | Basketball, Sports, Media |
| @phillyrob1 | 272,410 | Unknown | East Coast, Philly, Rob |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,284
Followers With Bio
3,716
Followers Without Bio
62.84%
% With Bio
37.16%
% 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 3,192 analyzed1,090,615
Combined Engagement
0
Total Likes
1,090,615
Total Retweets
218,123
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @OfficialMLK3: As my father explained during his lifetime, a riot is the language of the unheard.
RT @engxl: turtles are so dumb lmao https://t.co/GUe8Vt28gd
RT @StephenKing: https://t.co/lvzo45CnHU
RT @JRoche3MR: Hockey has been cancelled for like six hours and Canada solved coronavirus https://t.co/P7qVT7PcD1
RT @Bell_LetsTalk: Today, every view of this video helps create positive change. All you need to do is watch it and Bell will donate 5¢ more to Canadian mental health initiatives. Retweet to help spread the word! #BellLetsTalk https://t.co/hK1p4cJAYM
Key Insights & Takeaways
They openly discuss mental health struggles and recovery, which resonates with their audience. They share personal milestones and life updates, building a sense of connection. Their content often includes gratitude and acknowledgment of support from others.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 65,732
- + 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 @dallassmith reveals an well-established Twitter presence with 65,732 followers. The account demonstrates a content-creator strategy, averaging 530.5 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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