Megan Rapinoe
929,933
Followers
629
Following
7,757
Tweets
4,277.4
Avg Engagement
3,838
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines mPinoe'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:2010-03-11
- Verification:Yes
- Location:Seattle
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:1,025.2
- Avg Retweets per Tweet:3,252.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,173 tweetsmPinoe's tweets receive a high number of likes and retweets on average, indicating a highly engaged audience. Their content is well-received and shared widely.
1,025.2
Avg Likes/Tweet
3,252.2
Avg Retweets/Tweet
3,253,093
Total Likes
10,319,197
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
133
Median Likes
51
Median Retweets
1,809
75th Percentile
927,195
Top Tweet
4.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
32.2%
Original
10.3%
Replies
33.5%
Retweets
24.0%
Quotes
0.0%
Threads
1.5%
With Media
62.6%
With Links
26.3%
With #Tags
59.4%
With @Mentions
41.5%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,064 retweets (34% 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 3,173 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 includes politically aware individuals and those interested in personal opinions and endorsements. They may also be interested in health and wellness due to the mention of BODYARMOR.
Average
Audience Quality
23.1%
Suspicion Index
26.6%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
22.2%
<10 Tweets
13.9%
Mass Following (>2K)
0.0%
New (<90 days)
49.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.3%
No URL
15.3%
<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.
51,399,228
Total Potential Reach
48
Median Follower Reach
211
75th Percentile Reach
7.4%
>1K followers
1.0%
>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).
59.8%
Creators
29,892 accounts
18.0%
Consumers
8,988 accounts
22.2%
Dormant
11,120 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):
7,818
Verified Followers
0.84% of total
137,873
Protected Accounts
14.82% of total
8.7 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 |
|---|---|---|---|
| @YouTube | 75,834,098 | Content Creator | Entertainment, Technology, Social media |
| @jimmyfallon | 51,337,686 | Comedian | Comedy, TV, Music |
| @espn | 41,193,375 | Sports Media | Sports, Fans, Anywhere |
| @SportsCenter | 40,542,527 | Sports News | sports, news, app |
| @HillaryClinton | 31,602,029 | Politician | - |
| @ChrisEvans | 16,008,442 | - | - |
| @TwitterSports | 14,968,603 | - | - |
| @kobebryant | 14,937,607 | Entrepreneur | Basketball, Writing, Producing |
| @JohnCena | 13,852,126 | Wrestler | Wrestling, Motivation, Self-promotion |
| @johnlegend | 13,811,353 | Singer | Music, Family, Wine |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
548,103
Followers With Bio
382,159
Followers Without Bio
58.92%
% With Bio
41.08%
% 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 3,173 analyzed2,141,139
Combined Engagement
221,909
Total Likes
1,919,230
Total Retweets
428,228
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @PennStateIFC: With the current devastation in Houston, we are pledging $0.15 for every RT this gets! Please forward this along to help…
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
We already discussed this. Science is science. Gays rule. @Ashlyn_Harris @alikrieger https://t.co/Q80L65O0OZ
RT @HillaryClinton: People in covfefe houses shouldn't throw covfefe. https://t.co/M7oK5Z6qwF
RT @jk_rowling: Hell of a day for the President to forget how to tweet. https://t.co/ABffmwwH8D
Key Insights & Takeaways
mPinoe's tweets often include personal endorsements and political support, which may drive engagement. Their content is frequently shared, suggesting a strong connection with their audience. They use a mix of personal opinions and public figures to maintain relevance and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 929,933
- + Strong original content creation
- + 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 mPinoe reveals an exceptionally influential Twitter presence with 929,933 followers. The account demonstrates a content-creator strategy, averaging 4,277.4 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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