Mitchell Kutney

Mitchell Kutney

@MKutney

Senior Advisor at the Office of the Chief Data Officer for @GovCanHealth / PHAC. Views are my own. #data #innovation #OpenSource #datasaveslives.

Ottawa https://health-infobase.canada.ca/wastewater/ Joined 2010-03-02 Date of Analysis: Dec 16, 2025

98,980

Followers

80,807

Following

21,157

Tweets

1,628.3

Avg Engagement

1,151

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @MKutney'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:2010-03-02
  • Verification:No
  • Location:Ottawa

Data Summary

  • Tweets Analyzed:3,157
  • Avg Likes per Tweet:2.4
  • Avg Retweets per Tweet:1,625.9
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,157 tweets

On average, their tweets receive around 196 likes and 45 retweets, indicating moderate engagement. Their verified status is low, suggesting a mix of personal and professional followers.

2.4

Avg Likes/Tweet

1,625.9

Avg Retweets/Tweet

7,646

Total Likes

5,133,039

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

12

Median Retweets

211

75th Percentile

218,532

Top Tweet

16.45

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

9.6%

Original

15.1%

Replies

71.4%

Retweets

3.9%

Quotes

0.0%

Threads

0.2%

With Media

68.2%

With Links

26.7%

With #Tags

88.9%

With @Mentions

10.4%

With Emojis

199

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.58

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

84.1%

Weekday Posts

15.9%

Weekend Posts

Top Hashtags

#covid19 (157) #onpoli (102) #cdnpoli (72) #ottnews (71) #ottawa (63) #cdnhealth (44) #ontario (24) #ltc (19) #1door4care (17) #ottcity (16)

Most Mentioned

@alexmunter (196) @bruyerecare (182) @cheo (126) @canimmunize (80) @canhealthntwrk (67) @mkutney (53) @peggy_taillon (53) @geraldkutney (47) @justintrudeau (44) @ottawahealth (41)

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Content Strategy Analysis

Based on 3,157 tweets

Content Type Distribution

Content Breakdown

Original Tweets 302 (10%)
Replies 478 (15%)
Retweets 2,255 (71%)
Quote Tweets 122 (4%)

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 2,255 retweets (71% 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 3,157 tweets

Engagement 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 10,000 followers

Their audience is likely interested in data science, government operations, and public policy. They engage with a mix of professionals and public figures.

Good

Audience Quality

15.1%

Suspicion Index

7.5%

Low-Quality %

593

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

12.0%

Empty Bio

4.9%

<10 Tweets

43.1%

Mass Following (>2K)

0.0%

New (<90 days)

8.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

52.2%

No URL

2.9%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

56,188,138

Total Potential Reach

593

Median Follower Reach

1,436

75th Percentile Reach

34.6%

>1K followers

5.0%

>10K followers

1.3%

>50K followers

0.7%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

88.6%

Creators

8,862 accounts

6.4%

Consumers

644 accounts

4.9%

Dormant

494 accounts

209

Verified Followers

2.09% of total

21.6%

Professional Bios

founder, dev, analyst, etc.

0.39

Median Follow Ratio

follower/following

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):

Ottawa, Ontario (253) Toronto, Ontario (183) Canada (179) United States (151) San Francisco, CA (84) Toronto (79) Ontario, Canada (76) Ottawa (69) USA (60) London, England (59)

209

Verified Followers

2.09% of total

554

Protected Accounts

5.54% of total

10 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 14,092,901 Wrestler Wrestling, Motivation, Self-promotion
@KameronBennett 1,819,755 DJ Music, DJing, Booking
@joncoopertweets 1,276,906 Political Strategist Politics, Fundraising, Campaigns
@funder 1,114,039 Journalist Politics, Journalism, Music
@MollyJongFast 1,087,513 Writer writing, podcasting, newsletter
@InspiringThinkn 1,042,447 Author Inspiration, Leadership, Motivation
@rogerhamilton 925,555 Entrepreneur education, entrepreneurship, futurism
@shannonrwatts 609,883 Activist gun control, activism, motherhood
@BruceVH 589,457 Life Coach Podcast, Speaker, Optimist
@PalmerReport 517,376 - -

Top Keywords in Follower Bios

health (647) life (354) love (342) business (300) views (288) healthcare (271) social (247) marketing (226) tweets (225) digital (222)

Top Hashtags in Follower Bios

#healthcare (50) #ai (41) #blm (37) #health (31) #marketing (29) #innovation (28) #resist (27) #digital (24) #mentalhealth (22) #tech (22)

8,798

Followers With Bio

1,202

Followers Without Bio

87.98%

% With Bio

12.02%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,157 analyzed

678,668

Combined Engagement

0

Total Likes

678,668

Total Retweets

135,734

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Data Innovation Government Policy Public Discourse Humor Satire

Key Insights & Takeaways

They often use humor and sarcasm to highlight contradictions in public statements or policies. Their tweets frequently challenge mainstream narratives or call out misinformation. They leverage Twitter as a platform to influence public opinion on data-related issues.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 98,980
  • + 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 @MKutney reveals an exceptionally influential Twitter presence with 98,980 followers. The account demonstrates a conversation-first approach, averaging 1,628.3 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025