abdul 🌌📷
travel, astrophotography, dark sky conservation, random trash talk. glad you’re here love u go pats! photo books → https://www.patreon.com/advil
113,383
Followers
651
Following
37,841
Tweets
993.4
Avg Engagement
454
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Advil'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:2008-04-17
- Verification:No
- Location:Nevada, USA
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:109.9
- Avg Retweets per Tweet:883.5
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,192 tweetsAdvil's tweets receive a high average number of likes and retweets, indicating strong audience interaction. Their content often sparks debate and discussion, contributing to their engagement levels.
109.9
Avg Likes/Tweet
883.5
Avg Retweets/Tweet
350,664
Total Likes
2,820,218
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
66
75th Percentile
637,731
Top Tweet
8.76
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
19.1%
Original
60.3%
Replies
12.1%
Retweets
8.5%
Quotes
0.0%
Threads
5.9%
With Media
36.0%
With Links
2.2%
With #Tags
69.2%
With @Mentions
18.6%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.15
Reply/Original Ratio
0.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
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 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 385 retweets (12% 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 9,998 followersAdvil's audience likely includes travel enthusiasts, photography lovers, and individuals interested in environmental and social issues. They also engage with a younger demographic due to the casual and sometimes controversial nature of their content.
Good
Audience Quality
16.6%
Suspicion Index
15.6%
Low-Quality %
112
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.0%
Empty Bio
9.4%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
36.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.1%
No URL
6.1%
<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.
48,293,338
Total Potential Reach
112
Median Follower Reach
358
75th Percentile Reach
11.4%
>1K followers
2.7%
>10K followers
1.0%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.7%
Creators
7,869 accounts
11.9%
Consumers
1,185 accounts
9.4%
Dormant
944 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):
136
Verified Followers
1.36% of total
1,795
Protected Accounts
17.95% 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 | 14,093,666 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WholesomeMeme | 3,121,075 | Meme Creator | memes, wholesome, charity |
| @Hadithoftheday | 2,728,266 | Inspirational Speaker | space travel, tennis, cooking |
| @historyinmemes | 2,300,252 | - | - |
| @Lightroom | 1,950,364 | Photographer | Photography, Digital Editing, Customer Support |
| @ZachBoychuk | 827,574 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SETIInstitute | 728,699 | Researcher | Space exploration, Astrobiology, Extraterrestrial life |
| @LukeKorns | 617,382 | Filmmaker | movies, filmmaking, creativity |
| @snitchery | 565,976 | Influencer | vampire, makeup, gaming |
| @gagadaily | 546,265 | Fan site | Music, Lady Gaga, Fan community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,498
Followers With Bio
2,502
Followers Without Bio
74.98%
% With Bio
25.02%
% 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 analyzed1,394,084
Combined Engagement
144,323
Total Likes
1,249,761
Total Retweets
278,817
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
0%
With Links
Topical Analysis:
RT @NiallOfficial: applied for xfactor,hope it all wrks out
RT @ladygaga: AAAAAAAAAAAAAHHHHHRHRGRGRGRRRGURBHJB EORWPSOJWPJORGWOIRGWSGODEWPGOHEPW09GJEDPOKSD!!!!!!!!!!!!!!!0924QU8T63095JRGHWPE09UJ0PWHRGW
this should be as big of news as the notre dame fire imo. polynesian history is incredibly rich and the people of rapa nui were the most skilled sailors/explorers ever (yes, ever!). this history is important and deserves all our preservation efforts. they’ve already lost so much.
RT @wapplehouse: OHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMYGODOHMY
RT @TomBrady: These past two months I’ve realized my place is still on the field and not in the stands. That time will come. But it’s not now. I love my teammates, and I love my supportive family. They make it all possible. I’m coming back for my 23rd season in Tampa. Unfinished
Key Insights & Takeaways
Advil's content often blends personal interests with social and political commentary, which helps maintain audience engagement. Their use of humor and trash talk adds a unique personality to their tweets, making them stand out. They frequently engage with public figures and organizations, which can drive both likes and retweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 113,383
- + 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 @Advil reveals an well-established Twitter presence with 113,383 followers. The account demonstrates a conversation-first approach, averaging 993.4 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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