Akisa Wandera
News | People stories | Journalist @BBCAfrica
56,546
Followers
1,720
Following
19,064
Tweets
867.5
Avg Engagement
57
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Akisawandera'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:2013-01-22
- Verification:No
- Location:Kenya
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:32.3
- Avg Retweets per Tweet:835.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsThe account has a high average engagement with likes and retweets, indicating a responsive and interested audience. The content is well-received and shared.
32.3
Avg Likes/Tweet
835.2
Avg Retweets/Tweet
104,685
Total Likes
2,706,142
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
38
75th Percentile
670,173
Top Tweet
15.34
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
18.5%
Original
39.9%
Replies
37.9%
Retweets
3.7%
Quotes
0.0%
Threads
0.2%
With Media
45.5%
With Links
20.6%
With #Tags
78.7%
With @Mentions
22.3%
With Emojis
116
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.16
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.9%
Weekday Posts
13.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 1,227 retweets (38% 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 3,240 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 followersThe audience likely includes news consumers and followers of BBC Africa. They are interested in current events and human interest stories.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
100
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
100.0%
<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.
20,033,724
Total Potential Reach
100
Median Follower Reach
342
75th Percentile Reach
9.3%
>1K followers
1.0%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
562
Protected Accounts
5.62% 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 |
|---|---|---|---|
| @RailaOdinga | 4,333,180 | Politician | Politics, Infrastructure, Africa |
| @BBCAfrica | 3,890,842 | News Outlet | News, Africa, Updates |
| @orengo_james | 1,374,934 | Politician | Politics, Law, Leadership |
| @KBCChannel1 | 704,239 | News Broadcaster | News, Kenya, TV Shows |
| @C_NyaKundiH | 617,089 | Blogger | Corruption, Activism, Politics |
| @WorldBankAfrica | 562,037 | Development Finance | Poverty, Passion, Professionalism |
| @omwambaKE | 522,197 | - | - |
| @tarastrong | 447,379 | Voice Actress | Animation, Voice Acting, Superheroes |
| @KenyaGovernors | 365,782 | Government | Government, Counties, Leadership |
| @EzekielMutua | 358,864 | CEO | Music, Copyright, Kenya |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,813
Followers With Bio
3,187
Followers Without Bio
68.13%
% With Bio
31.87%
% 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 3,240 analyzed1,609,930
Combined Engagement
0
Total Likes
1,609,930
Total Retweets
321,986
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening and will return to London tomorrow. https://t.co/VfxpXro22W
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @VP: Ready to serve.
RT @jjamz_: How it started: How it’s going: https://t.co/STORWQH0dy
RT @realDonaldTrump: I WON THIS ELECTION, BY A LOT!
Key Insights & Takeaways
The account has a verified profile, which adds credibility to the content. The top tweets include humor and personal moments, which may help in building a connection with the audience. The use of hashtags and links suggests an effort to drive traffic and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,546
- + 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 @Akisawandera reveals an well-established Twitter presence with 56,546 followers. The account demonstrates a conversation-first approach, averaging 867.5 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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