Spencer Matthews
Founder CleanCo
595,644
Followers
1,100
Following
3,629
Tweets
107.6
Avg Engagement
569
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SpencerMatthews'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:2011-04-26
- Verification:No
- Location:LONDON UK
Data Summary
- Tweets Analyzed:3,117
- Avg Likes per Tweet:55.9
- Avg Retweets per Tweet:51.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,117 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The emotional content of his posts likely contributes to this engagement.
55.9
Avg Likes/Tweet
51.7
Avg Retweets/Tweet
174,188
Total Likes
161,169
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
4
Median Retweets
58
75th Percentile
29,433
Top Tweet
0.18
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
41.6%
Original
39.4%
Replies
16.7%
Retweets
2.3%
Quotes
0.0%
Threads
0.4%
With Media
31.2%
With Links
27.6%
With #Tags
79.3%
With @Mentions
3.2%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.95
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.0%
Weekday Posts
24.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,117 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 521 retweets (17% 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 3,117 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 followers interested in entrepreneurship and personal stories. The verified status of a small percentage suggests a mix of industry peers and general public.
Average
Audience Quality
27.7%
Suspicion Index
36.9%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.8%
Empty Bio
30.5%
<10 Tweets
9.8%
Mass Following (>2K)
0.0%
New (<90 days)
58.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.6%
No URL
19.9%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
77,683,295
Total Potential Reach
26
Median Follower Reach
116
75th Percentile Reach
4.1%
>1K followers
0.8%
>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).
45.4%
Creators
22,683 accounts
24.1%
Consumers
12,072 accounts
30.5%
Dormant
15,245 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):
452
Verified Followers
0.45% of total
15,925
Protected Accounts
15.77% of total
9 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 | 14,105,291 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,698,941 | Chef | Cooking, Food, Restaurants |
| @HBO | 3,306,687 | Entertainment | TV shows, movies, streaming |
| @Tyson_Fury | 2,248,042 | Boxer | Boxing, Fitness, Motivation |
| @6BillionPeople | 2,036,714 | - | - |
| @KatiePrice | 1,842,940 | Influencer | YouTube, Subscribe, Channel |
| @LouisePentland | 1,828,816 | Influencer | Vlogging, Blogging, Motherhood |
| @carolineflack1 | 1,730,926 | TV Presenter | Islands, Love, TV |
| @BearGrylls | 1,520,912 | Adventurer | Adventure, Survival, Exploration |
| @MurrayNewlands | 1,520,056 | Contributor | pop art, art, entrepreneurship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,288
Followers With Bio
56,711
Followers Without Bio
43.85%
% With Bio
56.15%
% 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 3,117 analyzed79,060
Combined Engagement
17,466
Total Likes
61,594
Total Retweets
15,812
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @Harry_Styles: The Bachelor.....oh my god.
RT @Harry_Styles: I wonder who'll get a rose.... #cliffhanger #edgeofmyseat
This morning at 3:55am, we welcomed our son into a quiet London hospital... He is beautiful and healthy. We feel truly blessed. Couldn’t be more proud of @VogueWilliams ❤️ https://t.co/97HxkFCvEQ
SHE SAID YES... ❤️ https://t.co/bGwl4qg0VB
RT @example: Poor old Frankie Cocozza. We could use someone like you on tour to hoover up every night after the show. Get in touch
Key Insights & Takeaways
His personal milestones, such as becoming a father, are shared with high emotional impact. He uses personal stories to connect with his audience and build a sense of community. His verified status and follower count suggest a balance between personal branding and professional credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 595,644
- + 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 @SpencerMatthews reveals an well-established Twitter presence with 595,644 followers. The account demonstrates a content-creator strategy, averaging 107.6 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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