Simon Patterson
I Am Tech
74.255
Followers
1.236
Following
10.538
Tweets
21,2
Avg Engagement
638
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sipatterson'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:2009-04-20
- Verification:No
- Location:Worldwide!
Data Summary
- Tweets Analyzed:3.168
- Avg Likes per Tweet:7,4
- Avg Retweets per Tweet:13,8
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.168 tweetsSipatterson's tweets receive an average of 112 likes and 61 retweets, indicating a moderately engaged audience. Their content often includes collaborations and industry recognition, which drives interaction.
7,4
Avg Likes/Tweet
13,8
Avg Retweets/Tweet
23.394
Total Likes
43.656
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
4
Median Retweets
19
75th Percentile
15.761
Top Tweet
0,29
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
47,1%
Original
22,3%
Replies
29,4%
Retweets
1,2%
Quotes
0,0%
Threads
0,6%
With Media
59,4%
With Links
52,7%
With #Tags
86,4%
With @Mentions
12,1%
With Emojis
101
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,47
Reply/Original Ratio
0,04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,5%
Weekday Posts
24,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.168 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 931 retweets (29% 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 3.168 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 followersTheir audience is primarily interested in technology and music, with a focus on vocal trance and electronic music production. They engage with industry professionals and fans alike.
Average
Audience Quality
23,7%
Suspicion Index
22,3%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33,1%
Empty Bio
21,3%
<10 Tweets
18,4%
Mass Following (>2K)
0,0%
New (<90 days)
51,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
73,8%
No URL
11,4%
<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.
8.794.536
Total Potential Reach
50
Median Follower Reach
216
75th Percentile Reach
5,6%
>1K followers
0,9%
>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).
51,8%
Creators
5.176 accounts
27,0%
Consumers
2.697 accounts
21,3%
Dormant
2.127 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):
61
Verified Followers
0.61% of total
967
Protected Accounts
9.67% of total
7 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 |
|---|---|---|---|
| @solalexasch | 681.227 | Musician | Music, Travel, Tattoos |
| @Ticketmaster | 618.608 | Ticketing | events, tickets, support |
| @DashBerlin | 502.831 | DJ | Music, DJ, Bookings |
| @economic2112 | 368.845 | Journalist | World News, Politics, Economy |
| @HarryGoaz | 233.580 | Actor | Acting, Music, Motherhood |
| @KOMINERT | 223.918 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @bbcpress | 214.854 | Public Relations | - |
| @imusicbuzz | 198.212 | Music promoter | Music, Artists, Fans |
| @spotifyartists | 174.158 | Music Promotion | music, legends, industry insiders |
| @AronoffOFFICIAL | 170.168 | Drummer | Music, Drumming, Speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.685
Followers With Bio
3.315
Followers Without Bio
66.85%
% With Bio
33.15%
% 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 3.168 analyzed19.878
Combined Engagement
0
Total Likes
19.878
Total Retweets
3.976
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @SUCKEDOFF: When u look fly as fuck but your plans get cancelled http://t.co/B6OA3hKiJh
RT @Carl_Froch: Wembley Stadium... What an Unbelievable place to defend my World Titles! THANK YOU for all your support #andstill http://t.co/TCVTb9H0BL
RT @coldplay: True Love. A http://t.co/oNxjBZYrmN
RT @ministryofsound: Retweet & follow to #WIN a @Sipatterson Tee, wristband + new Trance Nation album! iTunes: http://t.co/cnGQANWy86 http://t.co/5HWeCvUfpf
RT @BBCR1: George Square, you guys were incredible! And that was only the beginning of #BigWeekend! http://t.co/yWnDsA5bWA
Key Insights & Takeaways
Collaboration with industry figures like @djjohnaskew and @willatkinsonyes highlights their network and influence in the music scene. Their engagement with fans through gratitude and recognition fosters a loyal community. They are actively involved in launching new music labels, showing a strategic focus on quality and innovation in the vocal trance genre.
Strengths
- + Established follower base of 74.255
- + 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 @Sipatterson reveals an growing Twitter presence with 74.255 followers. The account demonstrates a content-creator strategy, averaging 21,2 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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