Rep. Peter Merideth
Community attorney, neighborhood organizer, singer, husband and father, and current MO State Rep. for District 80!
11208
Followers
221
Following
1958
Tweets
441,7
Avg Engagement
107
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PeterforMO'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:2015-08-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1820
- Avg Likes per Tweet:81,3
- Avg Retweets per Tweet:360,4
- Followers Analyzed:9815
Engagement Analysis
Based on 1820 tweetsPeterforMO's tweets receive a high level of engagement, with an average of 7,384 likes and 1,551 retweets per tweet. This suggests a strong and active community of supporters and followers.
81,3
Avg Likes/Tweet
360,4
Avg Retweets/Tweet
147910
Total Likes
655964
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
2
Median Retweets
45
75th Percentile
221956
Top Tweet
39,41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
26,8%
Original
41,9%
Replies
13,5%
Retweets
17,8%
Quotes
0,0%
Threads
0,4%
With Media
46,8%
With Links
19,9%
With #Tags
52,7%
With @Mentions
7,2%
With Emojis
201
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,56
Reply/Original Ratio
1,32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86,2%
Weekday Posts
13,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1820 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 246 retweets (14% 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 1820 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 9815 followersHis followers likely include constituents in District 80, activists, and individuals interested in politics and social justice. The audience is engaged with topics like civil rights, public health, and community safety.
Good
Audience Quality
16,7%
Suspicion Index
14,6%
Low-Quality %
213
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24,3%
Empty Bio
8,0%
<10 Tweets
27,4%
Mass Following (>2K)
0,0%
New (<90 days)
25,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
79,6%
No URL
4,8%
<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.
42432715
Total Potential Reach
213
Median Follower Reach
763
75th Percentile Reach
20,6%
>1K followers
2,5%
>10K followers
0,6%
>50K followers
0,3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
80,8%
Creators
7932 accounts
11,2%
Consumers
1100 accounts
8,0%
Dormant
783 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):
246
Verified Followers
2.51% of total
970
Protected Accounts
9.88% 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 | 14106606 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CoryBooker | 4817353 | Politician | Politics, New Jersey, Social Justice |
| @verified | 4201211 | - | - |
| @mmpadellan | 1214703 | Political Commentator | #BlueWave2022, #Feminist, #TheResistance |
| @EdKrassen | 875198 | Journalist | Politics, Journalism, Author |
| @shannonrwatts | 593839 | Activist | gun control, activism, motherhood |
| @IamMzilikazi | 535421 | Musician | Pan-African music, Album, Rise |
| @OccupyDemocrats | 533805 | Political Activist | Progressive, Grassroots, Politics |
| @FPWellman | 302465 | Advocate | Advocate, Senior Advisor, Educated |
| @ericgarland | 301593 | Intelligence Analyst | Intelligence, Strategy, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7426
Followers With Bio
2389
Followers Without Bio
75.66%
% With Bio
24.34%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1820 analyzed580111
Combined Engagement
0
Total Likes
580111
Total Retweets
116022
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @JohnDingell: I signed up to fight Nazis 73 years ago and I'll do it again if I have to. Hatred, bigotry, & fascism should have no place in this country.
RT @GovPenceIN: Calls to ban Muslims from entering the U.S. are offensive and unconstitutional.
RT @andy23tran: What's going on here? https://t.co/3jwbRazJhc
RT @RBReich: Shh don’t tell the Republicans, but at Walter Reed they have socialized medicine.
RT @Channel4News: 🚨🚨Tonight at 7pm:🚨🚨 EXCLUSIVE: Channel 4 News investigation reveals a huge Trump campaign data leak, exposing how 3.5 million Black Americans were listed as ‘Deterrence’ - to try to stop them voting in 2016. #DeterringDemocracy https://t.co/wkxKfbynu6
Key Insights & Takeaways
His tweets often focus on legislative debates and civil rights issues, showing a deep involvement in state politics. He frequently shares updates on community events and local activism, which helps build a sense of connection with his audience. His content includes personal and public moments, such as vigils and community support, which humanizes his public persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 11208
- + 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 @PeterforMO reveals an well-established Twitter presence with 11208 followers. The account demonstrates a conversation-first approach, averaging 441,7 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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