akpeyi daniel
Bringing out the best out of every situation 🔥
15,764
Followers
218
Following
288
Tweets
340.8
Avg Engagement
9
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DanielAkpeyi'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:2015-09-09
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:272
- Avg Likes per Tweet:319.3
- Avg Retweets per Tweet:21.5
- Followers Analyzed:15,266
Engagement Analysis
Based on 272 tweetsThe account consistently receives high engagement, indicating a loyal and active following. Their tweets often include links and hashtags, suggesting a focus on community and shared experiences.
319.3
Avg Likes/Tweet
21.5
Avg Retweets/Tweet
86,837
Total Likes
5,861
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
1
Median Retweets
158
75th Percentile
11,894
Top Tweet
21.62
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
44.9%
Original
55.1%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
41.9%
With Links
5.1%
With #Tags
66.9%
With @Mentions
81.2%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.23
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 272 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.
Posting Patterns & Optimal Timing
Based on 272 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 15,266 followersThe audience appears to be interested in motivational and faith-based content, likely aged 18-45. They are engaged and responsive, showing interest in personal stories and community connections.
Average
Audience Quality
20.2%
Suspicion Index
17.4%
Low-Quality %
181
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.7%
Empty Bio
16.8%
<10 Tweets
29.1%
Mass Following (>2K)
0.0%
New (<90 days)
29.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
9.1%
<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.
44,375,824
Total Potential Reach
181
Median Follower Reach
624
75th Percentile Reach
17.1%
>1K followers
1.3%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
60.9%
Creators
9,298 accounts
22.3%
Consumers
3,398 accounts
16.8%
Dormant
2,570 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
0.24% of total
917
Protected Accounts
6.01% 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 |
|---|---|---|---|
| @JohnCena | 14,106,765 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,277 | - | - |
| @KaizerChiefs | 2,771,321 | Football Club | Football, Soccer, Marketing |
| @IIKHUNE_32_16 | 1,491,841 | Goalkeeper | Football, Goalkeeping, South Africa |
| @thecableng | 1,150,587 | News outlet | News, Nigeria, Independent |
| @KickOffMagazine | 893,955 | Sports Journalist | Football, Soccer, News |
| @moflavadj | 831,586 | Radio Host | House Music, Radio, TV |
| @NGSuperEagles | 802,272 | Football Team | Football, Nigeria, Champions |
| @DonaldInDenial | 580,011 | Singer | Music, R&B, South Africa |
| @kuliroberts | 578,424 | Actress | STOP ALBINISM KILLINGS, Angeliena, Netflix |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,342
Followers With Bio
3,924
Followers Without Bio
74.3%
% With Bio
25.7%
% 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 272 analyzed37,530
Combined Engagement
34,694
Total Likes
2,836
Total Retweets
7,506
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
I can’t get over this 🤣🤣🤣❤️💯 https://t.co/wHleQnbY8g
An era has come and gone and a new one will begin,God has being faithful throughout this https://t.co/mUjJPyHHGL love for @kcfofficial #amakhosifamily knows no bound,every part makes me strong for the journey ahead ❤️✌️ https://t.co/23gmTymM3g
⭐️⭐️⭐️⭐️⭐️⭐️⭐️❤️😘 https://t.co/eNF9v7Sgqy
Merry Christmas and Happy New Year in advance from the Akpeyi’s to you all ❤️❤️ https://t.co/YrXeGRKNmd
Welcome home son,you are a true warrior 💪❤️❤️ https://t.co/UjsEoKFNfo
Key Insights & Takeaways
The user frequently shares personal and emotional content, which resonates with their audience. They use humor and emojis to create a relatable and friendly tone. Their tweets often include links, indicating a focus on community and shared experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,764
- + 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 @DanielAkpeyi reveals an well-established Twitter presence with 15,764 followers. The account demonstrates a conversation-first approach, averaging 340.8 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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