81,576
Followers
364
Following
9,874
Tweets
744.2
Avg Engagement
259
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jakesims'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:2014-11-02
- Verification:No
- Location:BRISTOL
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:27.5
- Avg Retweets per Tweet:716.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,178 tweetsHis tweets receive a high number of likes and retweets, indicating a loyal and active audience that engages with his content regularly.
27.5
Avg Likes/Tweet
716.7
Avg Retweets/Tweet
87,501
Total Likes
2,277,585
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
17
75th Percentile
282,008
Top Tweet
9.12
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
19.4%
Original
73.3%
Replies
3.1%
Retweets
4.2%
Quotes
0.0%
Threads
0.3%
With Media
18.4%
With Links
1.5%
With #Tags
81.9%
With @Mentions
43.3%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.77
Reply/Original Ratio
1.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 98 retweets (3% 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 3,178 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 appears to be fans of music, particularly pop and Latin genres, and individuals interested in celebrity culture.
Average
Audience Quality
23.6%
Suspicion Index
26.2%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
26.6%
<10 Tweets
16.2%
Mass Following (>2K)
0.0%
New (<90 days)
45.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
16.6%
<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.
34,333,229
Total Potential Reach
53
Median Follower Reach
284
75th Percentile Reach
8.5%
>1K followers
1.5%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.5%
Creators
5,155 accounts
21.9%
Consumers
2,190 accounts
26.6%
Dormant
2,655 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):
33
Verified Followers
0.33% of total
1,198
Protected Accounts
11.98% 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 |
|---|---|---|---|
| @JohnCena | 14,098,002 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,024,125 | - | - |
| @professorgreen | 1,656,311 | Musician | Music, Food, Philosophy |
| @likemike | 1,061,660 | Music Producer | Music, Lil Baby, Collaboration |
| @MikeyWax | 857,667 | Musician | music, singer-songwriter, new single |
| @FrankieCocozza | 801,742 | Singer | Music, Tattoos, Reality TV |
| @SleepSkee | 707,124 | Musician | Music, Independent, Artist |
| @kevinabstract | 497,836 | Musician | music, art, creativity |
| @THE_THEO_FORD | 473,132 | - | - |
| @djkingassassin | 466,457 | DJ | Music, Club, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,423
Followers With Bio
3,577
Followers Without Bio
64.23%
% With Bio
35.77%
% 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 3,178 analyzed1,109,406
Combined Engagement
0
Total Likes
1,109,406
Total Retweets
221,881
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Malala: 5 years ago, I was shot in an attempt to stop me from speaking out for girls' education. Today, I attend my first lectures at Oxford. https://t.co/sXGnpU1KWQ
RT @JohnCena: Sooo #iPhoneX about #FaceID ...ummmmm .... what do I do?
RT @GameOfThrones: April 14. #ForTheThrone https://t.co/Mzy22yxM6Z
RT @AdamParkhomenko: the most normal thing in 2017 so far https://t.co/X05h6nQFrG
RT @jk_rowling: Today's the day Albus Severus Potter boards the Hogwarts Express at King's Cross for the first time #19yearslater ⚡️
Key Insights & Takeaways
He frequently shares his admiration for artists like Harry Styles and Camila Cabello, showing a deep connection to their music. He often interacts with his followers by asking for their opinions and encouraging them to share their own versions of songs. His content is highly personal and expressive, which helps build a strong rapport with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 81,576
- + 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 @jakesims reveals an well-established Twitter presence with 81,576 followers. The account demonstrates a conversation-first approach, averaging 744.2 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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