Afternoon Express
Instagram: @afternoonexpress - Airs Tuesdays at 6pm with repeats on Sundays from 8:30am on SABC 3 - #AfternoonExpress
53,864
Followers
407
Following
53,698
Tweets
20.9
Avg Engagement
69
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AfternoonChat'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:2015-04-13
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:16.7
- Avg Retweets per Tweet:4.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsThe account has a steady engagement rate with an average of 328 likes and 145 retweets per tweet. It uses hashtags and calls-to-action to encourage participation.
16.7
Avg Likes/Tweet
4.3
Avg Retweets/Tweet
54,225
Total Likes
13,805
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
2
Median Retweets
20
75th Percentile
721
Top Tweet
0.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79.4%
Original
18.6%
Replies
0.9%
Retweets
1.1%
Quotes
0.0%
Threads
0.3%
With Media
83.0%
With Links
90.1%
With #Tags
55.4%
With @Mentions
58.2%
With Emojis
161
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
1.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.0%
Weekday Posts
12.0%
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 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 28 retweets (1% 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 10,000 followersThe audience is likely South African, given the local brand partnerships and time zone references. They are interested in winning prizes and participating in interactive content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
78
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)
90.9%
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.
9,691,755
Total Potential Reach
78
Median Follower Reach
352
75th Percentile Reach
10.2%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.1%
>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
559
Protected Accounts
5.59% of total
4 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 |
|---|---|---|---|
| @THE_THEO_FORD | 475,713 | - | - |
| @Thembisile_Q | 426,810 | Recording Artist | Music, Songwriting, Hairdressing |
| @zammit_marc | 384,444 | Filmmaker | Film, Acting, Producing |
| @mbali_ndlela | 382,594 | Fashion Designer | Fashion, Content Creation, Faith |
| @BrentJvV | 365,778 | Digital Marketer | Business, Technology, Education, Sport |
| @FabAcademic | 329,848 | Educator | Education, Inspiration, Humour |
| @Radio2000_ZA | 228,479 | Radio Station | Music, Memories, Nationwide |
| @Shoprite_SA | 220,137 | Retail | deals, news, low prices |
| @PoppyIsMyName | 216,036 | Podcaster | Podcast, Music, Entertainment |
| @TsakisaniM | 192,165 | Influencer | Fashion, Beauty, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,830
Followers With Bio
3,170
Followers Without Bio
68.3%
% With Bio
31.7%
% 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 analyzed2,751
Combined Engagement
1,885
Total Likes
866
Total Retweets
550
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
New phone, who dis!? 😏 WIN a NEW @HuaweiZA Nova 10 when you tell us what your favourite feature of the Huawei Nova 10 Pro is? Include #HUAWEInova10Series in your answer! Comp closes 31 Oct. Ts&Cs: https://t.co/nCZvh6xC2y #AfternoonExpress https://t.co/kMulCL4N4j
Win a @Lindt_SA LINDOR hamper to the value of R1 000! 🍫🤩 To enter simply let us know which is your favourite LINDOR flavour - milk, white, dark and hazelnut? Make sure to use #AfternoonExpress in your answer. Comp closes: 11 July. Ts&Cs: https://t.co/yUUSyop9op https://t.co/B
WIN a state-of-the-art @SiemensAfrica Washing Machine worth R11 000 & a year’s supply of @SkipSouthAfrica Anti-Ageing Detergent 🤩 To enter tell us why you need a new washing machine using #SkipSiemens. Ts&Cs: https://t.co/1ZOOiQMBtT #AfternoonExpress https://t.co/NBohL
Win R5000 cash thanks to @ActiPatch! 💰💪 All you have to do is tell us - have you ever had back pain and how did you treat it? Make sure to use #ActiPatch and #LongLastingPainRelief in your answer. Comp closes 1 May. Ts&Cs: https://t.co/iTki3FGniE #AfternoonExpress https://t
WIN a Kenwood Dual Airfryer HFM75 🤩 To enter, tell us what are the first two dishes you would make with the Dual Airfryer if you won? Make sure to use #KenwoodZA in your answer. Comp closes: 19 Sep. Ts&Cs: https://t.co/VZXqB0FqMQ #AfternoonExpress https://t.co/SDqRHpT8zr
Key Insights & Takeaways
The account relies heavily on promotional content and giveaways to maintain engagement. It uses local brands and time zone references to connect with its audience. Interactive elements like polls and hashtag challenges drive user participation.
Strengths
- + Established follower base of 53,864
- + 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 @AfternoonChat reveals an growing Twitter presence with 53,864 followers. The account demonstrates a content-creator strategy, averaging 20.9 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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