ỌMỌ́TÁRÁ ÀKÀNNÍ-LAWRENCE
A MONARCH 🫅 || @rhodesbymo || Yoruba language connoisseur
801,072
Followers
5,156
Following
185,300
Tweets
286.6
Avg Engagement
313
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_theladymo'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:2019-10-23
- Verification:No
- Location:Ojú ọlọ́mọ òto
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:157.9
- Avg Retweets per Tweet:128.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,229 tweetsTheir tweets typically receive a high number of likes and retweets, indicating a loyal and active audience that values their content.
157.9
Avg Likes/Tweet
128.7
Avg Retweets/Tweet
509,922
Total Likes
415,473
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
19
75th Percentile
38,175
Top Tweet
0.36
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
11.6%
Original
32.1%
Replies
54.3%
Retweets
2.0%
Quotes
0.0%
Threads
0.1%
With Media
20.0%
With Links
1.1%
With #Tags
84.8%
With @Mentions
41.7%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.78
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.5%
Weekday Posts
21.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 1,754 retweets (54% 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 3,229 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 appears to be interested in cultural topics, social commentary, and current events, particularly within African communities.
Average
Audience Quality
33.3%
Suspicion Index
44.3%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.8%
Empty Bio
51.8%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
66.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
33.8%
<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.
10,100,740
Total Potential Reach
10
Median Follower Reach
43
75th Percentile Reach
2.0%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
20.6%
Creators
10,296 accounts
27.6%
Consumers
13,796 accounts
51.8%
Dormant
25,908 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):
166
Verified Followers
0.16% of total
4,138
Protected Accounts
4.1% 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 |
|---|---|---|---|
| @LeBronJames | 1,008,402 | - | - |
| @M_455K | 455,820 | - | - |
| @SneakerNyame_ | 403,180 | - | - |
| @philosophytweet | 386,828 | - | - |
| @ChinkoTiger | 361,961 | Rapper | Rap, Indigenous, Artist |
| @OloriSupergal | 302,407 | Entertainment/Lifestyle | Entertainment, Lifestyle, Hello |
| @stilldey4u | 300,656 | PR Agent | Fashion, Music, Branding |
| @Banky__moon | 211,600 | Community Organizer | Community, Pan Africanist, Football |
| @officalbiaheza | 172,637 | - | - |
| @Kubwa5Safaris | 162,792 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,208
Followers With Bio
52,790
Followers Without Bio
47.73%
% With Bio
52.27%
% 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 3,229 analyzed108,499
Combined Engagement
12,258
Total Likes
96,241
Total Retweets
21,700
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @wizkidayo: Y’all go listen to timeless by my brother @davido 🔥🔥🔥❤️🦅 https://t.co/Xz5o2GxXGo
RT @feyiszn: I hope I don't marry someone who comes home & ruins everyone’s mood. I hope I don't become someone who comes home and everyon…
RT @blucyxo: i really admire my “idk how imma do it, but imma get it done” ability
RT @feyiszn: people who ignore other people's embarrassing moments so they don't feel embarrassed are my favourite humans
Trobul ✌🏻 https://t.co/MROYFFgHOD
Key Insights & Takeaways
They often share personal experiences and cultural insights, which resonate with their followers. Their content frequently addresses social and political issues, sparking conversations and debate. They use a mix of personal storytelling and public commentary to engage their audience effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 801,072
- + 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 @_theladymo reveals an well-established Twitter presence with 801,072 followers. The account demonstrates a conversation-first approach, averaging 286.6 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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