Lexis Bill
Joy 99.7FM. RADIO! TV! EVENTS MC! PR/ADVERTISING!
214,409
Followers
2,246
Following
54,372
Tweets
106.4
Avg Engagement
87
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lexisbill'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:2009-05-14
- Verification:No
- Location:Accra, Ghana
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:57.9
- Avg Retweets per Tweet:48.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,235 tweetsTheir tweets typically receive high engagement, with an average of 6,486 likes and 794 retweets per post. This suggests a loyal and active audience that values their content.
57.9
Avg Likes/Tweet
48.6
Avg Retweets/Tweet
187,165
Total Likes
157,153
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
34
75th Percentile
58,463
Top Tweet
0.5
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
41.5%
Original
4.1%
Replies
30.4%
Retweets
23.9%
Quotes
0.0%
Threads
0.2%
With Media
46.8%
With Links
33.2%
With #Tags
49.5%
With @Mentions
30.7%
With Emojis
96
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.79
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 984 retweets (30% 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 3,235 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 followersLexisbill's audience appears to be fans of their media work, event attendees, and followers interested in PR and advertising. They also engage with sports enthusiasts, particularly those following Chelsea FC.
Average
Audience Quality
33.0%
Suspicion Index
38.6%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.0%
Empty Bio
54.7%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
67.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
35.3%
<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.
31,019,081
Total Potential Reach
14
Median Follower Reach
56
75th Percentile Reach
1.9%
>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).
18.1%
Creators
9,057 accounts
27.2%
Consumers
13,581 accounts
54.7%
Dormant
27,362 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):
47
Verified Followers
0.05% of total
3,738
Protected Accounts
3.7% of total
3 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 | 14,099,790 | Wrestler | Wrestling, Motivation, Self-promotion |
| @shattawalegh | 3,342,653 | Musician | Music, Dancehall, Africa |
| @Iceprincezamani | 3,196,411 | Rapper | Music, Cool, Bookings |
| @tv3_ghana | 1,945,502 | Media | News, Programs, Events |
| @1RealJoeyB | 1,769,578 | Musician | Music, Darryl, Messiah |
| @KWESIARTHUR_ | 1,554,264 | Musician | Music, Beats, Bookings |
| @GHOneTV | 1,447,757 | Media | Breaking news, Exciting shows, Best Experience |
| @Serwaa_Amihere | 1,393,433 | News Anchor | News, Anchor, Producer |
| @gyaigyimii | 1,349,891 | Host | Business, Host, Space |
| @SinghLions | 1,334,128 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,828
Followers With Bio
36,171
Followers Without Bio
64.19%
% With Bio
35.81%
% 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 3,235 analyzed124,893
Combined Engagement
31,587
Total Likes
93,306
Total Retweets
24,979
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @ChelseaFC: Welcome home, @RomeluLukaku9. 💙 #LukWhosBack https://t.co/P43CAIVqfU
Still the GOAT 🐐 https://t.co/jeCCHZku2W
RT @TessaRDavis: 10 must-know Japanese concepts that will improve your life:
Good morning oo. Gentle reminder that @ChelseaFC are the UCL Champions. Just in case you’ve forgotten. 🤝🔵🔵 https://t.co/G8IIRmLcXV
RT @ChelseaFC: It’s #FACupFinal day! COME ON CHELSEA! 👊 https://t.co/MxZJhwfb95
Key Insights & Takeaways
High engagement indicates a strong, loyal fan base that values their content and updates. Content often includes personal achievements and public recognition, which drives interaction. They frequently use hashtags and links, suggesting a strategic approach to content promotion and audience engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 214,409
- + 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 @lexisbill reveals an well-established Twitter presence with 214,409 followers. The account demonstrates a content-creator strategy, averaging 106.4 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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