Meghan Chayka
tech entrepreneur, data scientist in residence, hockey, analytics, #wethenorth, #billsmafia, & economics. @Stathletes @hockeyanalytics #womenintech
55,077
Followers
4,982
Following
8,957
Tweets
53.0
Avg Engagement
516
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MeghanChayka'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:2009-03-07
- Verification:No
- Location:Toronto, Niagara
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:28.3
- Avg Retweets per Tweet:24.6
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,244 tweetsMeghan's tweets typically receive an average of 1,733 likes and 107 retweets, indicating a strong and engaged following. Her content is well-received, with a mix of humor and insightful commentary driving interaction.
28.3
Avg Likes/Tweet
24.6
Avg Retweets/Tweet
91,952
Total Likes
79,870
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
8
75th Percentile
15,585
Top Tweet
0.96
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
15.5%
Original
75.7%
Replies
7.4%
Retweets
1.4%
Quotes
0.0%
Threads
0.1%
With Media
22.7%
With Links
7.6%
With #Tags
89.4%
With @Mentions
24.1%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.89
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 240 retweets (7% 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 3,244 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 9,998 followersHer audience includes sports enthusiasts, particularly hockey fans, as well as individuals interested in data science and technology. The audience also shows interest in topics like women in tech and sports analytics.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
107
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
100.0%
<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.
43,962,316
Total Potential Reach
107
Median Follower Reach
326
75th Percentile Reach
10.1%
>1K followers
1.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
1,221
Protected Accounts
12.21% 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 |
|---|---|---|---|
| @ParisHilton | 16,668,611 | Entrepreneur | business, updates, media |
| @JohnCena | 14,096,990 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ReneePaquette | 1,237,959 | Entertainment Host | Fashion, Canada, Supporter |
| @PredsNHL | 646,102 | Hockey Fan | Hockey, Nashville, Pekka |
| @KristySwansonXO | 498,719 | Actress | God, Proud Mama, Happy Wife |
| @Moreno | 429,565 | Influencer | Business, Manager, Serious |
| @EvanKirstel | 350,260 | Tech Influencer | Tech, B2B, Social media |
| @MadelnCanada | 299,463 | Media Company | Pop culture, sports, media |
| @GMillerTSN | 266,343 | - | - |
| @TandMHD | 246,532 | Music Producer | Music, Production, TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,157
Followers With Bio
3,843
Followers Without Bio
61.57%
% With Bio
38.43%
% 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 3,244 analyzed36,241
Combined Engagement
3,716
Total Likes
32,525
Total Retweets
7,248
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @amykaufman84: 33 years ago tonight, 14 women went to bed thinking about their finals, future in STEM and the upcoming holiday season. They didn’t know that these dreams threatened a man’s sense of self worth and that they wouldn’t survive to see their goals and aspirations be
RT @ArsenalWFC: For the first time in our history... EMIRATES STADIUM. SOLD OUT. ❤️ https://t.co/sTUNFjFOVp
RT @patmaroon: In support of those struggling with mental health, bullying and body image I am making a 2,000 donation in the name of @realjackedwards to @TampaBayThrives and I encourage @TBLightning and @NHL fans to join me. Donate here: https://t.co/ZEbWHw6Cqv
Women not only watch hockey. They work in hockey too.
RT @pauls551: Larry David getting sued for a commercial where he disavowed crypto is very Larry David https://t.co/sdGvNpn3aJ
Key Insights & Takeaways
Her content often highlights the underrepresentation of women in sports and tech fields. She uses humor and relatable examples to engage her audience and spark conversations. Her tweets frequently blend sports analytics with broader social and economic themes.
Strengths
- + Established follower base of 55,077
- + 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 @MeghanChayka reveals an growing Twitter presence with 55,077 followers. The account demonstrates a conversation-first approach, averaging 53.0 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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