Tom Toledo
@spotify 🇧🇷 ambassador ❤️ @longwellbelle
65,989
Followers
2,261
Following
10,904
Tweets
321.7
Avg Engagement
47
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @damntoledo'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:2012-09-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,180
- Avg Likes per Tweet:264.4
- Avg Retweets per Tweet:57.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,180 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and relatability in their content.
264.4
Avg Likes/Tweet
57.3
Avg Retweets/Tweet
840,842
Total Likes
182,199
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
0
Median Retweets
192
75th Percentile
66,544
Top Tweet
4.88
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
38.0%
Original
50.9%
Replies
6.8%
Retweets
4.2%
Quotes
0.0%
Threads
0.0%
With Media
32.7%
With Links
1.9%
With #Tags
60.9%
With @Mentions
20.4%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.34
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,180 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 217 retweets (7% 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 3,180 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 followers likely include young adults and teenagers interested in humor, memes, and entertainment, with a focus on Brazilian and global pop culture.
Good
Audience Quality
17.2%
Suspicion Index
18.0%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.4%
Empty Bio
16.2%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
39.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.0%
No URL
10.7%
<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.
27,934,824
Total Potential Reach
56
Median Follower Reach
259
75th Percentile Reach
12.0%
>1K followers
2.5%
>10K followers
0.9%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.6%
Creators
6,862 accounts
15.2%
Consumers
1,519 accounts
16.2%
Dormant
1,619 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):
283
Verified Followers
2.83% of total
2,074
Protected Accounts
20.74% of total
4 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 |
|---|---|---|---|
| @lucasinutilismo | 2,646,725 | Comedian | comedy, gaming, vlogs |
| @SinghLions | 1,328,116 | Restaurateur | Food, Travel, Influencer |
| @simaria | 1,282,565 | Singer | Music, Fashion, Travel |
| @ZachBoychuk | 826,274 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @marcoscastro | 797,105 | Comedian | comedy, mathematics, music |
| @RaminNasibov | 740,890 | Designer | Design, Art, Opensea |
| @jakemiller | 492,189 | Musician | Music, Touring, Texting |
| @robisramiress | 481,126 | Adult Content Creator | Adult content, Trans rights, Independent creator |
| @Brasil_Fortnite | 474,793 | Gaming | Battle Royale, Criativo, Salve o Mundo |
| @SoyBienMamon | 460,917 | DJ | Music, DJ, Doodles |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,462
Followers With Bio
2,538
Followers Without Bio
74.62%
% With Bio
25.38%
% 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 3,180 analyzed208,463
Combined Engagement
122,918
Total Likes
85,545
Total Retweets
41,693
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
eu antigamente: kk usar emoji é muito brega eu hoje em dia pra tudo: 🥰🤪😍😋🥺🤤😡🤧🤣🥵😏😂😶😶😀😃😄😁😆😊☺️🤣🙃😂👍🏻👍🏻👍🏻👍🏻🙏🏻🙏🏻🙏🏻🙏🏻🥺😭😭😭😭😤😎😎😎😳😳😳😳😳😂😂😂🤧😈😈😈😈😞😞😞☺️☺️☺️😍😍😍😍😍🙂🙂🙂🤢🤢🤢🤢😤🥺🥺😭
RT @ped_red: Doc martens just emo timbs
As piadas da Alexa me surpreendem todo dia 😳 kkkk #ad https://t.co/so9W2N2VMF
fui gravar o stories e OS CARA N RESPEITAKKKKKKKKKKK https://t.co/xX7lQW6vhd
This Tweet from @damntoledo has been withheld in: This Tweet from @marshmello has been withheld in response to a report from the copyright holder. Learn more.
Key Insights & Takeaways
They use emojis extensively to convey emotions and humor, which resonates well with their audience. Their content often includes self-deprecating humor and relatable situations, increasing engagement. They frequently reference trending topics and memes, keeping their content relevant and shareable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 65,989
- + 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 @damntoledo reveals an well-established Twitter presence with 65,989 followers. The account demonstrates a conversation-first approach, averaging 321.7 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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