Giulietta Talevi
Gardening, sewing, chickens and occasional apoplexy. Money editor at the Financial Mail, Stock Watch on BDTV. I rant in my personal capacity.
30.820
Followers
637
Following
27.633
Tweets
100,9
Avg Engagement
156
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GTalevi'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:2011-09-08
- Verification:No
- Location:Johannesburg
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:71,4
- Avg Retweets per Tweet:29,5
- Followers Analyzed:28.123
Engagement Analysis
Based on 599 tweetsGTalevi's tweets receive a high average number of likes and retweets, indicating strong audience interaction. Their content is often shared and discussed, suggesting a dedicated and active following.
71,4
Avg Likes/Tweet
29,5
Avg Retweets/Tweet
42.765
Total Likes
17.654
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
70
75th Percentile
3.215
Top Tweet
3,27
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
14,4%
Original
41,9%
Replies
21,9%
Retweets
21,9%
Quotes
0,0%
Threads
0,2%
With Media
27,2%
With Links
2,5%
With #Tags
82,8%
With @Mentions
4,0%
With Emojis
113
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2,92
Reply/Original Ratio
1,0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
99,2%
Weekday Posts
0,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 131 retweets (22% 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 599 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 28.123 followersGTalevi's audience includes individuals interested in South African politics, finance, and lifestyle topics. They are likely to be engaged readers of Financial Mail and BDTV, with an interest in both personal and political content.
Average
Audience Quality
22,2%
Suspicion Index
26,7%
Low-Quality %
81
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,6%
Empty Bio
20,5%
<10 Tweets
18,7%
Mass Following (>2K)
0,0%
New (<90 days)
39,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
85,9%
No URL
12,8%
<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.
69.765.849
Total Potential Reach
81
Median Follower Reach
337
75th Percentile Reach
10,7%
>1K followers
1,6%
>10K followers
0,6%
>50K followers
0,4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59,4%
Creators
16.710 accounts
20,1%
Consumers
5.657 accounts
20,5%
Dormant
5.756 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):
281
Verified Followers
1.0% of total
2.664
Protected Accounts
9.47% of total
8 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 | 14.105.728 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MbalulaFikile | 2.948.617 | Politician | Transport, Sports, Politics |
| @GarethCliff | 1.978.703 | Podcaster | Podcasting, Broadcasting, Conversations |
| @helenzille | 1.517.007 | Politician | Politics, Author, Liberal |
| @tito_mboweni | 1.473.881 | Politician | Economics, Politics, Agriculture |
| @CityofJoburgZA | 1.164.296 | Government | Government, Johannesburg, Municipality |
| @MTNza | 1.040.863 | Telecommunications | Recharge, Balance checking, MTN app |
| @danielmarven | 896.280 | Entrepreneur | Entrepreneur, Activist, Artist |
| @jobvinesa | 777.526 | Job Board | Jobs, South Africa, Official |
| @Abramjee | 710.741 | Consultant | Crime Watch, Social Cohesion, Tax Justice |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16.690
Followers With Bio
11.433
Followers Without Bio
59.35%
% With Bio
40.65%
% 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 599 analyzed9.991
Combined Engagement
8.360
Total Likes
1.631
Total Retweets
1.998
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Does anyone actually want to FIX Joburg, or do they just want to be in charge?
Maybe one day someone will explain why it was so hard for the ANC to do the right thing. Whether to maintain sewage plants & roads, keep towns clean, help people with access to telecoms and transport, keep people safe with a decent police. Why do the opposite of everything go
The most dangerous man in this country needs to be removed from Government, NOW: https://t.co/chjNl1pYrI
If I were big business, I'd be demanding a meeting with Pravin, Gwede, Cele and De Ruyter, in the same room, to get this shit sorted out. This weekend. Still no fucking sense of crisis here. Find a spine, people! @businessforsa @BLSA_Official @BusinessUnitySA
Aren't you in jail yet? https://t.co/mMagQyRdEq
Key Insights & Takeaways
GTalevi's tweets often focus on political accountability and governance issues in South Africa. They use personal interests as a platform to critique public policies and leadership. Their content is both informative and provocative, encouraging debate and reflection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 30.820
- + 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 @GTalevi reveals an well-established Twitter presence with 30.820 followers. The account demonstrates a conversation-first approach, averaging 100,9 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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