Smash Mouth
Official Twitter Account for SMASH MOUTH ron@soundmgt.com @SoundMgtRecords @SeanHmusic @dividedbyzach @randycooke @Mikeklooster
103,276
Followers
4,985
Following
18,277
Tweets
127.2
Avg Engagement
332
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @smashmouth'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: Macro Influencer (100K+)
- Account Age:2011-01-07
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:113.6
- Avg Retweets per Tweet:13.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsThe account maintains a high level of engagement with its followers, suggesting a loyal fan base. The use of humor and relatable content helps drive interaction.
113.6
Avg Likes/Tweet
13.6
Avg Retweets/Tweet
362,782
Total Likes
43,302
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
23
75th Percentile
194,982
Top Tweet
1.23
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
24.0%
Original
63.3%
Replies
0.3%
Retweets
12.4%
Quotes
0.0%
Threads
1.2%
With Media
35.5%
With Links
17.9%
With #Tags
76.4%
With @Mentions
3.4%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.64
Reply/Original Ratio
44.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 9 retweets (0% 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 3,193 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 followersThe audience likely includes fans of Smash Mouth and other artists associated with the account. They are engaged with humor, music, and pop culture references.
Good
Audience Quality
16.7%
Suspicion Index
12.2%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
20.7%
Empty Bio
6.7%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
44.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.9%
No URL
3.7%
<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.
144,000,285
Total Potential Reach
82
Median Follower Reach
246
75th Percentile Reach
6.9%
>1K followers
1.2%
>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).
81.7%
Creators
40,852 accounts
11.6%
Consumers
5,789 accounts
6.7%
Dormant
3,359 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):
1,139
Verified Followers
1.15% of total
13,642
Protected Accounts
13.72% 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 |
|---|---|---|---|
| @ShawnMendes | 26,449,277 | Singer | music, performing, philanthropy |
| @MTV | 17,701,929 | Entertainment | Music, Entertainment, Awards |
| @billboard | 14,107,412 | Media | music, charts, news |
| @JohnCena | 14,106,433 | Wrestler | Wrestling, Motivation, Self-promotion |
| @funnyordie | 12,915,457 | Comedy | Comedy, Entertainment, Humor |
| @5SOS | 12,396,907 | Band | Music, Band, Australia |
| @warriors | 8,253,030 | Sports Team | basketball, championships, fan pride |
| @LilNasX | 8,043,268 | Musician | Music, Fashion, Art |
| @chancetherapper | 7,955,773 | Musician | music, video, directing |
| @PostMalone | 7,017,840 | Musician | Music, Tattoos, Beer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,066
Followers With Bio
24,375
Followers Without Bio
75.49%
% With Bio
24.51%
% 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 3,193 analyzed278,897
Combined Engagement
248,188
Total Likes
30,709
Total Retweets
55,779
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Said NOBODY EVER!!!!!!!!!!!!!!!!! lol https://t.co/vDXqika1Ob
#JackStar https://t.co/icGA6gOd09
Da Asshole
OH FUCK NO! https://t.co/taVTbZOHxN
#AllSiwa https://t.co/1oM4jgZB6h
Key Insights & Takeaways
The account uses humor and pop culture references to connect with fans It frequently promotes music and collaborates with other artists The verified status and linked accounts suggest a strong brand presence
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 103,276
- + 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 @smashmouth reveals an well-established Twitter presence with 103,276 followers. The account demonstrates a conversation-first approach, averaging 127.2 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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