Matthew Syed
Author of Rebel Ideas. Columnist for The Sunday Times and @TheTimes. Presenter of Sideways on @BBCRadio4
117,883
Followers
1,270
Following
16,947
Tweets
326.9
Avg Engagement
657
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matthewsyed'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:2010-05-26
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:45.2
- Avg Retweets per Tweet:281.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,202 tweetsSyed's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is both widely appreciated and often debated.
45.2
Avg Likes/Tweet
281.7
Avg Retweets/Tweet
144,816
Total Likes
902,024
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
37
75th Percentile
251,171
Top Tweet
2.77
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
19.0%
Original
30.7%
Replies
39.3%
Retweets
11.0%
Quotes
0.0%
Threads
0.3%
With Media
61.1%
With Links
9.4%
With #Tags
85.0%
With @Mentions
15.8%
With Emojis
153
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.62
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.8%
Weekday Posts
36.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 1,258 retweets (39% 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 3,202 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 10,000 followersHis audience includes sports enthusiasts, political observers, and culture critics who appreciate sharp, well-reasoned commentary. The engagement suggests a mix of informed readers and casual followers.
Average
Audience Quality
21.6%
Suspicion Index
29.0%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.4%
Empty Bio
19.9%
<10 Tweets
14.1%
Mass Following (>2K)
0.0%
New (<90 days)
40.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.4%
No URL
13.7%
<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.
40,175,552
Total Potential Reach
69
Median Follower Reach
317
75th Percentile Reach
11.2%
>1K followers
1.8%
>10K followers
0.5%
>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).
62.5%
Creators
6,245 accounts
17.7%
Consumers
1,766 accounts
19.9%
Dormant
1,989 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):
118
Verified Followers
1.18% of total
1,114
Protected Accounts
11.14% 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 | 14,093,801 | Wrestler | Wrestling, Motivation, Self-promotion |
| @piersmorgan | 8,479,028 | Journalist | quotes, media, controversy |
| @tferriss | 1,909,844 | Author | books, investing, podcasting |
| @carolvorders | 766,170 | TV Host | TV, Entrepreneur, Adventure |
| @alykhansatchu | 588,975 | Banker | Banker, Interest rate, Africa |
| @bbcquestiontime | 579,377 | Journalist | politics, debate, discussion |
| @TheRealJackDee | 577,878 | Comedian | comedy, humor, sarcasm |
| @DouglasKMurray | 577,238 | Author | Books, Politics, Journalism |
| @OfficiallyGT | 575,250 | Broadcaster | Broadcaster, plate-spinner, sailing |
| @DennisKoutoudis | 537,037 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,565
Followers With Bio
4,435
Followers Without Bio
55.65%
% With Bio
44.35%
% 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 3,202 analyzed477,784
Combined Engagement
18,927
Total Likes
458,857
Total Retweets
95,557
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @lawrencehurley: “I’m here live, I’m not a cat,” says lawyer after Zoom filter mishap “I can see that,” responds judge https://t.co/HclKlAUwbM
RT @sciam: Scientific American has never endorsed a presidential candidate in our 175-year history—until now. The 2020 election is literally a matter of life and death. We urge you to vote for health, science and Joe Biden for President. https://t.co/8TlH7shjFn
RT @PaulMcCartney: A sad sad day but remembering my friend John with the great joy he brought to the world. I will always be proud and happy to have known and worked with this incredible Scouser! X love Paul #JohnLennon 📷 by Linda McCartney https://t.co/oNL0ihzhvl
Christian Horner is tarnishing F1. Red Bull broke the rules but Horner says criticism is affecting the mental health of the team. This is a blatant deflection technique but also trivialises the difficulties of people with real mental health problems https://t.co/oInyiHT1zS
Key Insights & Takeaways
Syed frequently highlights ethical issues in sports and politics, often challenging mainstream narratives. He uses historical context to critique current events, showing a deep understanding of context and cause. His writing style is direct and confrontational, which both engages and polarizes his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 117,883
- + 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 @matthewsyed reveals an well-established Twitter presence with 117,883 followers. The account demonstrates a conversation-first approach, averaging 326.9 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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