McNeil
“America’s least popular sports commentator” | @TheReflogShow | PARODY | Team @tipico | @tipico app ⤵️ CODE REFLOG150 Get $150 + $30 DAWG POUND BET
570,711
Followers
571,024
Following
156,829
Tweets
360.3
Avg Engagement
846
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Reflog_18'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:2012-02-13
- Verification:No
- Location:Granville, OH
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:270.4
- Avg Retweets per Tweet:89.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,230 tweetsThe account has high average likes and retweets, indicating strong audience interaction. Promotional content and viral moments drive engagement.
270.4
Avg Likes/Tweet
89.9
Avg Retweets/Tweet
873,394
Total Likes
290,528
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
4
Median Retweets
79
75th Percentile
116,479
Top Tweet
0.63
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
14.8%
Original
39.0%
Replies
45.6%
Retweets
0.6%
Quotes
0.0%
Threads
0.3%
With Media
39.6%
With Links
10.2%
With #Tags
84.8%
With @Mentions
18.7%
With Emojis
76
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.63
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 1,474 retweets (46% 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 3,230 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 enjoys satire, sports, and pop culture references. They are engaged with content that includes humor, memes, and celebrity commentary.
Good
Audience Quality
13.4%
Suspicion Index
14.2%
Low-Quality %
276
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.5%
Empty Bio
10.2%
<10 Tweets
22.1%
Mass Following (>2K)
0.0%
New (<90 days)
13.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.1%
No URL
5.8%
<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.
83,420,103
Total Potential Reach
276
Median Follower Reach
1,072
75th Percentile Reach
26.4%
>1K followers
2.8%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
73.7%
Creators
36,830 accounts
16.1%
Consumers
8,046 accounts
10.2%
Dormant
5,124 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):
1,977
Verified Followers
1.96% of total
2,388
Protected Accounts
2.36% 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 |
|---|---|---|---|
| @joncoopertweets | 1,254,944 | Political Strategist | Politics, Fundraising, Campaigns |
| @cariocadelegado | 1,180,277 | Comedian | Humor, Ordem, Entretenimento |
| @WhistleBlitz | 1,156,115 | - | - |
| @ShathaSa3eed | 1,002,579 | Educator | English, Training, Counseling |
| @gabrielrufian | 936,901 | Politician | politics, independence, activism |
| @MikeyWax | 857,624 | Musician | music, singer-songwriter, new single |
| @bajri_2 | 806,393 | Student | Politics, Ambition, Nationalism |
| @pnjaban | 699,213 | - | - |
| @RicaPerrone | 688,739 | - | - |
| @SavvyRinu | 623,767 | Activist | Activism, Strategy, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
79,928
Followers With Bio
21,070
Followers Without Bio
79.14%
% With Bio
20.86%
% 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 3,230 analyzed234,961
Combined Engagement
77,853
Total Likes
157,108
Total Retweets
46,992
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @HamlinIsland: Putting love into the world comes back 3xs as much… thankful for everyone who has reached out and prayed. This will make…
Tiger Woods. Painful to watch. 😬 https://t.co/kMV9WxViQo
RT @OKWildlifeDept: Whoever filled out a cougar sighting report and wrote "your mother" under the description drop your @ we just want to t…
Robin Lopez ratting out his bro: “That’s a flop- he’s an actor- I know, he was in West Side Story- He was Officer Krupke 😂😂😂😂” https://t.co/JmoB4j7j83
@stoolpresidente - love it - love it https://t.co/D47oAQWJnV
Key Insights & Takeaways
The account uses humor and parody to stand out in a crowded space Promotional partnerships with brands like Tipico are a key strategy Content often includes celebrity and athlete references, which resonate with followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 570,711
- + 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 @Reflog_18 reveals an well-established Twitter presence with 570,711 followers. The account demonstrates a conversation-first approach, averaging 360.3 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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