Juliet Bawuah
GJA Sports Journalist of the Year x 1🏆 |SWAG Journalist of the Year x 1🏆|Presenter| Sometimes @SuperSportTV @FIFACom @BBC |Fdr #AWSS|📧[email protected]
484,826
Followers
3,728
Following
71,060
Tweets
945.2
Avg Engagement
251
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @julietbawuah'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:2011-03-30
- Verification:No
- Location:Global
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:577.2
- Avg Retweets per Tweet:368.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. She frequently shares content that resonates with her followers, such as athlete highlights and media collaborations.
577.2
Avg Likes/Tweet
368.1
Avg Retweets/Tweet
1,874,614
Total Likes
1,195,506
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
5
Median Retweets
657
75th Percentile
677,844
Top Tweet
1.95
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
41.7%
Original
44.9%
Replies
10.9%
Retweets
2.5%
Quotes
0.0%
Threads
0.1%
With Media
35.4%
With Links
13.4%
With #Tags
59.8%
With @Mentions
35.0%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.08
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.6%
Weekday Posts
34.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 355 retweets (11% 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 3,248 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 followersHer audience includes sports enthusiasts and followers of major media outlets. They are likely interested in sports news, athlete interactions, and media coverage.
Average
Audience Quality
34.3%
Suspicion Index
44.9%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.6%
Empty Bio
50.0%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
30.1%
<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.
30,629,769
Total Potential Reach
15
Median Follower Reach
56
75th Percentile Reach
2.4%
>1K followers
0.3%
>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).
20.3%
Creators
10,153 accounts
29.7%
Consumers
14,868 accounts
50.0%
Dormant
24,979 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):
152
Verified Followers
0.15% of total
2,875
Protected Accounts
2.85% 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 |
|---|---|---|---|
| @JohnCena | 14,104,458 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LarryMadowo | 2,457,343 | Journalist | Journalism, Travel, Humor |
| @SinghLions | 1,334,860 | Restaurateur | Food, Travel, Influencer |
| @TheRealPitso | 1,214,420 | Football Coach | Football, Coaching, Awards |
| @Tim_Cahill | 741,952 | Athlete | Football, Education, World Cup |
| @solalexasch | 678,747 | Musician | Music, Travel, Tattoos |
| @jackie14AP | 645,796 | Sports Journalist | football, sports, journalism |
| @anaw2nt | 614,068 | - | - |
| @noelitoflow | 473,212 | Inspirational Speaker | God, Jesus, Purpose |
| @iamprincekash | 409,853 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,387
Followers With Bio
57,612
Followers Without Bio
42.96%
% With Bio
57.04%
% 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 3,248 analyzed980,074
Combined Engagement
101,648
Total Likes
878,426
Total Retweets
196,015
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
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…
RT @Benzema: Le Ballon D’Or Du Peuple https://t.co/IxsDmR2451
They broke security protocol but 𝗖𝗿𝗶𝘀𝘁𝗶𝗮𝗻𝗼 𝗥𝗼𝗻𝗮𝗹𝗱𝗼 and this kid. ❤️ https://t.co/t0oncvZ6Qg
. @NewsyMartin and i with our inner peace @Cristiano celebration. #CR700 😅😅😅😅 https://t.co/x6OAf5KDAV
RT @EnockMwepu45: ❤️ https://t.co/8F2lTabjJg
Key Insights & Takeaways
She frequently references major athletes like Cristiano Ronaldo and Messi, indicating a focus on high-profile sports figures. Her content often includes humor and light-hearted moments, which may help in building a relatable and engaging persona. She collaborates with other journalists and media outlets, suggesting a network within the sports journalism industry.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 484,826
- + 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 @julietbawuah reveals an well-established Twitter presence with 484,826 followers. The account demonstrates a conversation-first approach, averaging 945.2 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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