Slapdee
booking/management: [email protected]
279,656
Followers
1,035
Following
18,199
Tweets
82.8
Avg Engagement
134
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @slapdee'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:2009-08-27
- Verification:No
- Location:Lusaka
Data Summary
- Tweets Analyzed:3,125
- Avg Likes per Tweet:72.1
- Avg Retweets per Tweet:10.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,125 tweetsThe account shows consistent engagement, with a high average number of likes and retweets. The content appears to resonate well with their followers.
72.1
Avg Likes/Tweet
10.7
Avg Retweets/Tweet
225,454
Total Likes
33,432
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
60
75th Percentile
8,778
Top Tweet
0.3
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
17.5%
Original
3.2%
Replies
58.6%
Retweets
20.7%
Quotes
0.0%
Threads
0.2%
With Media
54.8%
With Links
20.8%
With #Tags
65.5%
With @Mentions
45.0%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,125 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 1,831 retweets (59% 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 3,125 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 likely includes fans of entertainment, music, and social media personalities. The audience seems to be interested in both personal updates and public recognition.
Below Average
Audience Quality
35.8%
Suspicion Index
46.7%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.8%
Empty Bio
73.6%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
63.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
52.5%
<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.
6,386,405
Total Potential Reach
4
Median Follower Reach
19
75th Percentile Reach
1.2%
>1K followers
0.1%
>10K followers
0.0%
>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).
6.4%
Creators
3,188 accounts
20.0%
Consumers
10,017 accounts
73.6%
Dormant
36,795 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):
23
Verified Followers
0.02% of total
3,266
Protected Accounts
3.27% 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 |
|---|---|---|---|
| @SinghLions | 1,334,521 | Restaurateur | Food, Travel, Influencer |
| @Y1079FM | 716,301 | Radio Host | Music, Entertainment, Youth |
| @DonaldInDenial | 580,125 | Singer | Music, R&B, South Africa |
| @aliciagrimes71 | 499,784 | Influencer | Youtube influencers, Music, Magazine |
| @FAZFootball | 170,682 | Football Association | Football, Champions, Africa |
| @africaupdates | 140,566 | News Outlet | Africa News, Africa Business, Africa Tech |
| @TambaHali91 | 110,270 | Athlete | Sports, Music, Media |
| @AspikaSpoila | 99,315 | Entertainer | Music, Acting, Directing |
| @Noguecatoira | 95,253 | DJ | DJing, Video Games, Techno Music |
| @DominicMboo_ | 90,973 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,699
Followers With Bio
33,301
Followers Without Bio
66.7%
% With Bio
33.3%
% 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 3,125 analyzed18,190
Combined Engagement
8,765
Total Likes
9,425
Total Retweets
3,638
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @Ntethehxulu: Just logged in on Facebook and saw this. South Africans Let's help our brother. A Retweet will be appreciated as it's ca…
⚔️🇿🇲 https://t.co/OgYnAUM1JX
I smell nice too https://t.co/VtPvM5RxhS
https://t.co/hS6RgAjjJN
Congratulations @burnaboy Africa for Africa✊🏾
Key Insights & Takeaways
The user frequently shares personal and lifestyle content, which may contribute to their high engagement. They have a strong presence in the entertainment and music industry, as seen through their interactions with artists. Their use of emojis and hashtags suggests a focus on casual and relatable communication.
Strengths
- + Established follower base of 279,656
- + 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 @slapdee reveals an growing Twitter presence with 279,656 followers. The account demonstrates a content-creator strategy, averaging 82.8 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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