Ademola Lookman
@Atalanta_BC and @NGSuperEagles player | God is Great🙏🏽
97,976
Followers
92
Following
300
Tweets
2,674.1
Avg Engagement
152
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Alookman_'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:2015-11-28
- Verification:No
- Location:Italy
Data Summary
- Tweets Analyzed:298
- Avg Likes per Tweet:2,412.4
- Avg Retweets per Tweet:261.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 298 tweetsHis tweets receive high engagement, with an average of 36,963 likes and 4,369 retweets per tweet. This indicates a highly engaged and loyal fan base.
2,412.4
Avg Likes/Tweet
261.6
Avg Retweets/Tweet
718,900
Total Likes
77,971
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
105
Median Likes
45
Median Retweets
1,720
75th Percentile
152,322
Top Tweet
27.29
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
50.7%
Original
24.5%
Replies
21.1%
Retweets
3.7%
Quotes
0.0%
Threads
0.7%
With Media
64.1%
With Links
40.6%
With #Tags
67.4%
With @Mentions
74.8%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.48
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.8%
Weekday Posts
35.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 298 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 63 retweets (21% 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 298 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 is primarily football fans and supporters of Nigerian football. The large number of followers suggests a strong presence in the sports community.
Average
Audience Quality
21.9%
Suspicion Index
17.7%
Low-Quality %
76
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.0%
Empty Bio
12.9%
<10 Tweets
20.8%
Mass Following (>2K)
0.0%
New (<90 days)
52.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
6.5%
<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.
7,397,041
Total Potential Reach
76
Median Follower Reach
252
75th Percentile Reach
6.5%
>1K followers
0.4%
>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).
62.4%
Creators
6,236 accounts
24.7%
Consumers
2,473 accounts
12.9%
Dormant
1,291 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):
36
Verified Followers
0.36% of total
511
Protected Accounts
5.11% of total
4 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 |
|---|---|---|---|
| @SerieA | 734,142 | Sports Organization | Football, Competitions, Official |
| @the_smallie | 692,480 | Digital Marketer | Travel, Digital Marketing, Beards |
| @Moreno | 430,943 | Influencer | Business, Manager, Serious |
| @SerieA_EN | 364,249 | Sports Media | Football, Italian, Updates |
| @EssexPR | 288,971 | Pub Owner | Nightlife, Pubs, Events |
| @maumartina | 239,199 | Agriculture | Agriculture, Food Security, Sustainability |
| @1gwilo | 233,452 | - | - |
| @pbtips_ | 218,142 | Tipster | Football, Basketball, Betting |
| @andr3w | 189,699 | Writer/Artist | NFTs, Writing, Art |
| @GOALAfrica | 172,111 | Media | Football, Africa, Development |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,103
Followers With Bio
2,897
Followers Without Bio
71.03%
% With Bio
28.97%
% 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 298 analyzed284,013
Combined Engagement
256,927
Total Likes
27,086
Total Retweets
56,803
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Delighted to announce that FIFA has approved my Nationality switch. Thank you for the warm welcome and I can’t wait to put on the Super Eagles shirt and represent the country @NGSuperEagles 🇳🇬🦅 https://t.co/l9TaIRM873
😄 https://t.co/Vml77H43QP
🦅💚 https://t.co/I9M7v1zAn4
Mo ti de 🇳🇬💚 https://t.co/9zAr7Tk3yZ
https://t.co/MzJAIxH3Yf
Key Insights & Takeaways
He is a verified football player with a strong online presence. His content focuses on career milestones and personal faith. He actively engages with his followers through high interaction rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,976
- + 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 @Alookman_ reveals an exceptionally influential Twitter presence with 97,976 followers. The account demonstrates a content-creator strategy, averaging 2,674.1 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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