Matt Cutts
Used to be at Google, then DC, now in Toronto. Tackling life with @aranoff and our twin baby boys (!!).
490,979
Followers
1,389
Following
32,268
Tweets
153.4
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mattcutts'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:2007-03-31
- Verification:No
- Location:Toronto, Ontario
Data Summary
- Tweets Analyzed:3,174
- Avg Likes per Tweet:21.8
- Avg Retweets per Tweet:131.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,174 tweetsHis tweets typically receive high engagement with likes and retweets, indicating a strong and active community around his content.
21.8
Avg Likes/Tweet
131.7
Avg Retweets/Tweet
69,052
Total Likes
417,937
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
26
75th Percentile
64,141
Top Tweet
0.31
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
17.6%
Original
65.8%
Replies
12.3%
Retweets
4.3%
Quotes
0.0%
Threads
0.5%
With Media
29.2%
With Links
2.6%
With #Tags
82.0%
With @Mentions
1.9%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.73
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.4%
Weekday Posts
19.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,174 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 389 retweets (12% 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 3,174 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 includes tech professionals, digital service enthusiasts, and those interested in personal stories and family life.
Good
Audience Quality
19.6%
Suspicion Index
19.3%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.2%
Empty Bio
20.7%
<10 Tweets
18.0%
Mass Following (>2K)
0.0%
New (<90 days)
35.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
59.1%
No URL
12.3%
<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.
76,646,680
Total Potential Reach
67
Median Follower Reach
293
75th Percentile Reach
9.2%
>1K followers
1.3%
>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).
54.2%
Creators
27,115 accounts
25.1%
Consumers
12,547 accounts
20.7%
Dormant
10,338 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):
1,394
Verified Followers
1.38% of total
6,680
Protected Accounts
6.61% 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 | 14,104,974 | Wrestler | Wrestling, Motivation, Self-promotion |
| @sundarpichai | 5,198,079 | CEO | Technology, Innovation, Leadership |
| @benlandis | 2,850,498 | - | - |
| @6BillionPeople | 2,036,437 | - | - |
| @addthis | 2,005,688 | Marketing | Ecommerce, AMP, Knowledge |
| @zlj517 | 1,994,353 | Spokesman | Geopolitics, Diplomacy, Communication |
| @sama | 1,620,564 | Entrepreneur | AI, technology, entrepreneurship |
| @LeonKrauze | 1,584,444 | Journalist | TV, Journalism, Podcasts |
| @CybersmileHQ | 1,157,664 | Nonprofit | kindness, equality, inclusion |
| @funder | 1,106,421 | Journalist | Politics, Journalism, Music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,518
Followers With Bio
30,481
Followers Without Bio
69.82%
% With Bio
30.18%
% 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 3,174 analyzed210,455
Combined Engagement
0
Total Likes
210,455
Total Retweets
42,091
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @rklau: I don't remember who posted this on Twitter a few years ago, but whoever you are: you have improved every night I've spent in a…
RT @terrycrews: I approve. Signed, Terry Crews https://t.co/IKhgEhzEbT
RT @senorrinhatch: We should call evil by its name. My brother didn't give his life fighting Hitler for Nazi ideas to go unchallenged here…
RT @ArmyChiefStaff: The Army doesn't tolerate racism, extremism, or hatred in our ranks. It's against our Values and everything we've stood…
RT @yashar: You need to watch this right away...trust me. Thank you Lt. Gen. Jay B. Silveria for your service. https://t.co/WPUVl0mXJh
Key Insights & Takeaways
He often shares personal and emotional experiences, which resonate deeply with his audience. He highlights his professional journey and contributions to digital services. He uses personal anecdotes to connect with followers on a more human level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 490,979
- + 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 @mattcutts reveals an well-established Twitter presence with 490,979 followers. The account demonstrates a conversation-first approach, averaging 153.4 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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