Oliver Age 24 🍕
💀 Born 35 yrs ago 😶 Community and Social Media Director (Mediatonic x Epic) 🎥 Content creator 💻 GameDev: Purrfect Date ❤️ @MaybeRoo [email protected]
59,869
Followers
5,175
Following
3,540
Tweets
244.1
Avg Engagement
236
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OliverAge24'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:2013-02-13
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,210
- Avg Likes per Tweet:130.5
- Avg Retweets per Tweet:113.6
- Followers Analyzed:10,000
- Following Analyzed:25
Engagement Analysis
Based on 3,210 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction. They often share personal insights and humor, which helps maintain engagement.
130.5
Avg Likes/Tweet
113.6
Avg Retweets/Tweet
418,836
Total Likes
364,614
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
74
75th Percentile
112,209
Top Tweet
4.08
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
24.5%
Original
64.5%
Replies
2.6%
Retweets
8.5%
Quotes
0.0%
Threads
0.7%
With Media
38.8%
With Links
2.0%
With #Tags
74.2%
With @Mentions
19.2%
With Emojis
115
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.64
Reply/Original Ratio
3.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,210 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 83 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 3,210 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 likely includes gaming enthusiasts, content creators, and social media users interested in game development and community engagement. They also attract followers interested in creative projects and social media trends.
Good
Audience Quality
20.0%
Suspicion Index
16.8%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.0%
Empty Bio
16.1%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
52.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.5%
No URL
9.7%
<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.
53,928,042
Total Potential Reach
50
Median Follower Reach
201
75th Percentile Reach
6.8%
>1K followers
1.3%
>10K followers
0.4%
>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).
65.6%
Creators
6,558 accounts
18.3%
Consumers
1,833 accounts
16.1%
Dormant
1,609 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):
112
Verified Followers
1.12% of total
836
Protected Accounts
8.36% of total
5 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 |
|---|---|---|---|
| @MrBeast | 20,972,671 | YouTuber | Philanthropy, YouTube, Charity |
| @JohnCena | 14,075,102 | Wrestler | Wrestling, Motivation, Self-promotion |
| @timthetatman | 2,878,720 | Streamer | Gaming, Entertainment, Nerd |
| @MattWallace888 | 1,108,351 | YouTuber | Crypto, Dogecoin, YouTube |
| @TwitterMktg | 1,039,742 | - | - |
| @jason_s_dolley | 989,950 | Actor | Actor, Gamer, Dog person |
| @bouska | 837,666 | Fashion Photographer | Fashion, Photography, Activism |
| @hannahxxrose | 740,642 | Gamer | roses, minecraft, GFuelEnergy |
| @KevinandTrevor | 694,071 | - | - |
| @Alpharad | 623,196 | Content Creator | Gaming, Comedy, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,602
Followers With Bio
2,398
Followers Without Bio
76.02%
% With Bio
23.98%
% 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 3,210 analyzed348,652
Combined Engagement
37,847
Total Likes
310,805
Total Retweets
69,730
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @brunoespi: this generation isn’t sensitive, we just won’t let you get away with homophobic, transphobic, sexist, or racist remarks.
RT @MrMichaelSwartz: “thank god it’s finally the weekend! the weekend: https://t.co/a3QFsbYKOH
RT @YaiSor: DID CNN JUST DO THAT https://t.co/83wwWCIOqc
RT @OwainWynEvans: When they said try working from home I didn’t realise they’d expect me to do the music too @BBCNews @BBCNWT #BBCNewsTheme 🥁 #workingfromhome https://t.co/DVXjDw0l8F
I don't often unblock people, but when I do... https://t.co/7QTOJwR2DY
Network & Following Analysis
Based on 25 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
0.0%
Verified Accounts
0.0%
High Authority (>50K)
4.0%
Dormant Accounts
0.0%
Low Quality
87
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
84.0%
Individuals
21 accounts
0.0%
Brands/Orgs
0 accounts
16.0%
Media/News
4 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Jason | 987 | - | - |
| @ Ilham Hasymi Effendi | 513 | - | - |
| @ Charis Reid | 386 | - | - |
| @ 🏳️⚧️ Violet Procyon | 338 | - | - |
| @ 🎙️Xos93🎥 | 325 | - | - |
| @ Dusty Riders | 323 | - | - |
| @ Modi Operandus | 298 | - | - |
| @ i n s m e t t 1 e l f - ABSTAND BITTE! | 199 | - | - |
| @ Marw Sightwalker | 124 | - | - |
| @ t r a v i s g l o v e r | 115 | - | - |
Key Insights & Takeaways
They are deeply involved in the gaming community and often share personal experiences and observations. They use humor and personal anecdotes to connect with their audience. They are open about their creative process and willingness to share behind-the-scenes content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,869
- + 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 @OliverAge24 reveals an well-established Twitter presence with 59,869 followers. The account demonstrates a conversation-first approach, averaging 244.1 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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