Micah Richards
Ambassador @mancity 👕 @bbcsport & @skysports pundit 📺📻 @mailsport columnist ✍🏿 All enquiries: 📩 [email protected]
587,070
Followers
1,191
Following
2,747
Tweets
1,588.0
Avg Engagement
1,062
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MicahRichards'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:2012-12-19
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:2,573
- Avg Likes per Tweet:873.7
- Avg Retweets per Tweet:714.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,573 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts.
873.7
Avg Likes/Tweet
714.3
Avg Retweets/Tweet
2,248,096
Total Likes
1,837,857
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
17
Median Retweets
378
75th Percentile
250,223
Top Tweet
2.7
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
18.7%
Original
33.9%
Replies
41.7%
Retweets
5.6%
Quotes
0.0%
Threads
0.3%
With Media
31.6%
With Links
15.2%
With #Tags
82.5%
With @Mentions
44.1%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.81
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,573 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 1,074 retweets (42% 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 2,573 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 football fans and followers of sports media outlets. They engage with his content through likes and retweets.
Average
Audience Quality
24.6%
Suspicion Index
35.3%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.5%
Empty Bio
25.7%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
51.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
17.2%
<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.
39,313,867
Total Potential Reach
37
Median Follower Reach
141
75th Percentile Reach
3.7%
>1K followers
0.4%
>10K followers
0.1%
>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).
52.9%
Creators
26,460 accounts
21.4%
Consumers
10,709 accounts
25.7%
Dormant
12,831 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):
484
Verified Followers
0.48% of total
13,105
Protected Accounts
12.98% of total
7 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 | 14,105,125 | Wrestler | Wrestling, Motivation, Self-promotion |
| @didierdrogba | 2,772,375 | Footballer | Football, Philanthropy, Charity |
| @ITV | 2,272,131 | Media | TV, entertainment, news |
| @Rylan | 1,764,834 | Entertainer | Luxury, Entertainment, Representation |
| @MichelleDBeadle | 1,364,325 | Sports Commentator | Sports, Entertainment, Pop Culture |
| @SinghLions | 1,334,993 | Restaurateur | Food, Travel, Influencer |
| @kevinbridges86 | 1,329,827 | Comedian | Comedy, Stand-up, Humor |
| @RealMattLucas | 1,259,069 | Actor | Comedy, Acting, Television |
| @jimmy9 | 1,177,996 | Cricketer | Cricket, Management, Media |
| @susannareid100 | 905,770 | Presenter | News, TV, Charity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,940
Followers With Bio
52,059
Followers Without Bio
48.46%
% With Bio
51.54%
% 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 2,573 analyzed872,466
Combined Engagement
418,994
Total Likes
453,472
Total Retweets
174,493
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @KMbappe: Nous reviendrons. 🇫🇷🙏🏽 https://t.co/Ni2WhO6Tgd
RT @Cristiano: https://t.co/vRNVCoegOW
A lot of fans asked me to show Roy a funny video from TikTok and I wasn’t going to let you all down... I just can’t play you the real audio 🤣😡 https://t.co/a4BbKH8UBo
Me and jamie like two kids in trouble with the teacher! https://t.co/RJUNbLTjWW
I was not due to be working on MOTD tomorrow, but if I was, I would find myself taking the same decision that @IanWright0 & @alanshearer have.
Key Insights & Takeaways
He often interacts with fans by responding to their requests and humorously acknowledging their expectations. He references other notable pundits and players, showing his connection to the football community. He uses emojis and playful language to engage and entertain his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 587,070
- + 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 @MicahRichards reveals an exceptionally influential Twitter presence with 587,070 followers. The account demonstrates a conversation-first approach, averaging 1,588.0 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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