Mitchell McClenaghan
Instagram: mitch_m81
382,006
Followers
1,389
Following
9,442
Tweets
510.8
Avg Engagement
289
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mitch_Savage'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:2012-09-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:447.8
- Avg Retweets per Tweet:63.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHis tweets receive high engagement, with an average of 24,973 likes and 1,749 retweets per post.
447.8
Avg Likes/Tweet
63.0
Avg Retweets/Tweet
1,453,441
Total Likes
204,572
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
1
Median Retweets
123
75th Percentile
38,919
Top Tweet
1.34
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
18.5%
Original
63.5%
Replies
4.3%
Retweets
13.8%
Quotes
0.0%
Threads
0.2%
With Media
22.9%
With Links
13.8%
With #Tags
78.8%
With @Mentions
16.0%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.44
Reply/Original Ratio
3.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 140 retweets (4% 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 3,246 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 followersHis audience primarily consists of sports enthusiasts, especially fans of cricket and related athletes.
Average
Audience Quality
33.5%
Suspicion Index
35.3%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.2%
Empty Bio
42.9%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
81.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
26.4%
<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.
36,079,198
Total Potential Reach
8
Median Follower Reach
38
75th Percentile Reach
2.4%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.0%
Creators
15,476 accounts
26.1%
Consumers
13,052 accounts
42.9%
Dormant
21,472 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):
200
Verified Followers
0.2% of total
5,810
Protected Accounts
5.75% of total
3 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 | 14,103,765 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DezBryant | 3,498,573 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @BollywoodGandu | 3,021,007 | Comedian | Comedy, Bollywood, Social Media |
| @surya_14kumar | 2,561,076 | Cricketer | Cricket, Dream, Achieve |
| @hankypanty | 2,502,710 | Comedian | Comedy, Jokes, Videos |
| @BaronDavis | 1,030,606 | Entrepreneur | Investor, Finesser, Creator |
| @Swannyg66 | 920,413 | Commentator | Cricket, Commentating, Speaking |
| @vikrantgupta73 | 832,921 | Sports Journalist | Cricket, Sports, Journalism |
| @NOH8Campaign | 801,612 | Activism | equality, bullying, discrimination |
| @ModernWarzone | 780,680 | Gaming News | Gaming, Call of Duty, Warzone |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,373
Followers With Bio
42,626
Followers Without Bio
57.8%
% With Bio
42.2%
% 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 3,246 analyzed157,261
Combined Engagement
121,242
Total Likes
36,019
Total Retweets
31,452
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
Just watched the #CSKvsMI replay - man @msdhoni is so good
Happy Birthday Legend @sachin_rt https://t.co/CASPzFAdxW
India’s Mr.360 @surya_14kumar proper knock brother! Keep showing your quality - look great in Blue BTW 😜 #MIvsRCB
@babarazam258 🤯
RT @elonmusk: @greg_price11 This is crazy. The public was misled.
Key Insights & Takeaways
He frequently interacts with prominent athletes and sports figures, which drives engagement. His content often includes personal reactions and admiration for sports performances. He leverages trending sports topics and events to maintain relevance and audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 382,006
- + 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 @Mitch_Savage reveals an well-established Twitter presence with 382,006 followers. The account demonstrates a conversation-first approach, averaging 510.8 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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