Oliver Bell
Founder of @XcademyOfficial $XCAD
152,317
Followers
4,295
Following
66,052
Tweets
327.9
Avg Engagement
188
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Oly245'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:2009-12-13
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:593
- Avg Likes per Tweet:53.2
- Avg Retweets per Tweet:274.7
- Followers Analyzed:50,000
- Following Analyzed:4,281
Engagement Analysis
Based on 593 tweetsOly245's tweets receive a high level of engagement, with an average of 1,148 likes and 2,092 retweets per tweet. Their content is likely to be shared and discussed within their community.
53.2
Avg Likes/Tweet
274.7
Avg Retweets/Tweet
31,542
Total Likes
162,917
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
18
Median Retweets
98
75th Percentile
31,010
Top Tweet
2.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
7.1%
Original
46.7%
Replies
44.0%
Retweets
2.2%
Quotes
0.0%
Threads
0.0%
With Media
17.7%
With Links
10.6%
With #Tags
91.6%
With @Mentions
30.4%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.6
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 593 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 261 retweets (44% 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 593 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 followersTheir audience is likely interested in earning money online, particularly through apps and YouTube. They may also be interested in cryptocurrency and financial news due to the mention of Binance and FUD.
Average
Audience Quality
32.7%
Suspicion Index
19.3%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
1.7%
<10 Tweets
49.2%
Mass Following (>2K)
0.0%
New (<90 days)
81.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
0.8%
<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.
57,107,761
Total Potential Reach
27
Median Follower Reach
99
75th Percentile Reach
3.1%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
93.8%
Creators
46,884 accounts
4.5%
Consumers
2,247 accounts
1.7%
Dormant
869 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):
432
Verified Followers
0.43% of total
2,117
Protected Accounts
2.1% of total
2 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 | 14,105,750 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cz_binance | 8,364,455 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @CryptoWeb3_NFT | 4,362,994 | - | - |
| @TheWignus | 2,489,036 | - | - |
| @SirKunt | 2,254,884 | - | - |
| @ThatSummy | 2,005,936 | Marketer | Crypto, NFTs, Web3 |
| @UnMatchedTier | 1,863,691 | Mental Health Therapist | Self-healing, Mindfulness, Life Balance |
| @WandaNaraCrypto | 1,750,599 | Influencer | Bitcoin, Eth, Altcoins |
| @ScottGShore | 1,433,583 | Reality TV Star | Reality TV, Techno music, MTV |
| @joe_weller_ | 1,426,252 | YouTuber | YouTube, Music, Athlete |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,171
Followers With Bio
32,823
Followers Without Bio
67.5%
% With Bio
32.5%
% 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 593 analyzed101,186
Combined Engagement
11,153
Total Likes
90,033
Total Retweets
20,237
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @XcademyOfficial: $10,000 Giveaway🚨 To Celebrate hitting 200k followers we are giving away $10,000 in XCAD!💰 To Enter: ✅RT This Tweet…
RT @XcademyOfficial: $10,000 Giveaway🎉 To Celebrate hitting 300k followers we are giving away $10,000 in XCAD!💰 To Enter: ✅RT This Tweet…
You can now earn MONEY by watching YouTube Videos via @XcademyOfficial's Android App ▶️ 1) Download our Android App https://t.co/edJbbeMIPz 2) Watch YouTube Videos 3) Earn Money💰 Backed by Mr Beast & KSI $BNB $ETH #AVAX #STEPN $VRA #Watch2Earn https://t.co/o3LQYWzz3I
You can now earn MONEY by watching YouTube Videos via @XcademyOfficial's Android App ▶️ 1) Download our Android App https://t.co/edJbbeMb01 2) Watch YouTube Videos 3) Earn 💰 Backed by Mr Beast & KSI $BNB $ETH #AVAX #STEPN #Watch2Earn https://t.co/u3qKamelaU
The @XcademyOfficial Growth campaign kicks off today! Daily weekday announcements until the 14th of April. XCAD is the home of #Watch2Earn $BNB $ID $ARB $VRA https://t.co/xJdNUgGmgB
Network & Following Analysis
Based on 4,281 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
21.3%
Verified Accounts
13.1%
High Authority (>50K)
100.0%
Dormant Accounts
11.1%
Low Quality
970
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
85.6%
Individuals
3,666 accounts
7.4%
Brands/Orgs
317 accounts
7.0%
Media/News
298 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,012,973 | Entrepreneur | Space, Technology, Innovation |
| @realDonaldTrump Donald J. Trump | 87,259,513 | - | - |
| @NASA NASA | 76,243,927 | Space Research | Space, Exploration, Science |
| @X X | 66,568,390 | Social Media Manager | - |
| @nytimes The New York Times | 55,034,894 | News Organization | News, Tips, Share |
| @BBCBreaking BBC Breaking News | 51,630,694 | News broadcaster | News, Updates, Alerts |
| @MileyCyrus Miley Cyrus | 46,536,050 | Singer | music, activism, social media |
| @POTUS45 President Trump 45 Archived | 32,263,697 | Politician | politics, government, history |
| @POTUS President Biden | 32,191,081 | - | - |
| @PlayStation PlayStation | 32,125,703 | Gaming | Gaming, PS5, PS4 |
Key Insights & Takeaways
Their primary focus is on monetization through their app and YouTube, which suggests a target audience interested in online earning opportunities. They have a strong presence in the financial and tech space, with mentions of Binance and FUD indicating an interest in cryptocurrency and market trends. Their high engagement suggests that their audience is active and responsive to content related to financial opportunities and tech innovations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 152,317
- + 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 @Oly245 reveals an well-established Twitter presence with 152,317 followers. The account demonstrates a conversation-first approach, averaging 327.9 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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