Qais Ahmad
Afghanistan national cricket team player 🏏 for enquiries Please contact to [email protected]
59,027
Followers
164
Following
736
Tweets
203.3
Avg Engagement
17
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @imqaisahmadd'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:2015-02-16
- Verification:No
- Location:Afghanistan
Data Summary
- Tweets Analyzed:685
- Avg Likes per Tweet:182.9
- Avg Retweets per Tweet:20.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 685 tweetsHis tweets receive an average of 2,747 likes and 69 retweets, indicating a loyal and engaged audience. The content is well-received, with a focus on emotional and motivational messages.
182.9
Avg Likes/Tweet
20.4
Avg Retweets/Tweet
125,303
Total Likes
13,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
163
75th Percentile
4,402
Top Tweet
3.44
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26.1%
Original
4.7%
Replies
66.3%
Retweets
2.9%
Quotes
0.0%
Threads
0.1%
With Media
93.3%
With Links
36.2%
With #Tags
85.3%
With @Mentions
40.7%
With Emojis
155
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 685 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 454 retweets (66% 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 685 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 followersHis audience primarily consists of cricket fans and Afghan nationals interested in sports and national issues. The content resonates with people who value community and patriotism.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
8
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)
97.3%
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.
1,360,050
Total Potential Reach
8
Median Follower Reach
38
75th Percentile Reach
1.4%
>1K followers
0.2%
>10K followers
0.0%
>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).
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
837
Protected Accounts
8.37% of total
1 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 |
|---|---|---|---|
| @FredBoycott | 142,159 | Cricketer | Cricket, Yorkshire, Apanthropist |
| @HikmatAmarkhill | 137,796 | - | - |
| @BeingHussainANa | 44,783 | - | - |
| @FatmhSpw | 28,602 | - | - |
| @Qadirkhan32 | 27,970 | - | - |
| @AhmadWaliHotak1 | 21,752 | - | - |
| @Qarisohaib313 | 19,416 | - | - |
| @Roma_2365 | 18,763 | - | - |
| @kaif_037 | 17,742 | - | - |
| @CrystalBayat37 | 14,905 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,436
Followers With Bio
6,564
Followers Without Bio
34.36%
% With Bio
65.64%
% 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 685 analyzed17,232
Combined Engagement
16,934
Total Likes
298
Total Retweets
3,446
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
ډیر د سکون نه ډک زي دی الله دی ستاسو قسمت هم پکی وکی امین https://t.co/yfnvcpul4u
چې پر ما یې باور وکړ زه به هڅه وکړم چې ستاسو باور په ځای وساتم او ګران وطن لپاره ښه وځلیږم د ټولو درنو هیوادوالو او خوږو مینوالو هیله کوم چې د تل پڅیر مونږ پر خپلو دعاګانو کې یاد وساتي!
سلامونه درنو هیوادوالو! په دې هیله یم چې ټول وطنوال به ښه یاست. نن یو ځل بیا د خپلو خوږو مینوالو د دعاوو په برکت مې د پاکستان غوره لیګ سیالیو کې درې لوبغاړي اوټ کړل او د لوبې غوره لوبغاړی شوم دا ویاړ دې ټولو هیوادوالو ته مبارک وي. https://t.co/mvJs8C0g2Z
#Afganistan🇦🇫 #Kabul jan #Snowing ❄️ https://t.co/BkDJKgO9XA
It’s just an amazing experience playing n MCG & be a part of the Star family.Going back with some great memories & wish my Stars all the best for rest of the competition @StarsBBL https://t.co/5ceLOp1gdr
Key Insights & Takeaways
His tweets often include religious and patriotic themes, which resonate strongly with his audience. He uses personal and emotional language to connect with followers, emphasizing loyalty and dedication. His content is focused on community and national pride, which aligns with the interests of his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,027
- + 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 @imqaisahmadd reveals an well-established Twitter presence with 59,027 followers. The account demonstrates a content-creator strategy, averaging 203.3 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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