AQA
Qualifications to help students and teachers realise their potential. Updates and support from 9:30am-3:30pm, Monday-Friday. DMs open.
56,184
Followers
394
Following
16,433
Tweets
4.3
Avg Engagement
206
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AQA'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:2010-02-10
- Verification:Yes
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:2.8
- Avg Retweets per Tweet:1.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsThe account has an average of 301 likes and 73 retweets per tweet, indicating moderate engagement. The content is likely shared by educators and students seeking exam-related information.
2.8
Avg Likes/Tweet
1.4
Avg Retweets/Tweet
9,223
Total Likes
4,606
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
763
Top Tweet
0.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
16.3%
Original
73.2%
Replies
9.9%
Retweets
0.5%
Quotes
0.0%
Threads
0.2%
With Media
30.8%
With Links
14.1%
With #Tags
89.0%
With @Mentions
2.7%
With Emojis
171
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.5
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
99.5%
Weekday Posts
0.5%
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 323 retweets (10% 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 primary audience includes students, teachers, and educational professionals. The content is tailored to those involved in exam preparation and curriculum updates.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
12
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)
90.6%
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.
1,818,538
Total Potential Reach
12
Median Follower Reach
78
75th Percentile Reach
3.5%
>1K followers
0.1%
>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
1,555
Protected Accounts
15.55% of total
5 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 |
|---|---|---|---|
| @thestudentroom | 65,827 | Education | Studying, Advice, Support |
| @The_GA | 43,245 | Education | Geography, Education, Teachers |
| @GeorgeFreemanMP | 36,680 | - | - |
| @OldhamCouncil | 30,129 | - | - |
| @NickHernBooks | 23,482 | - | - |
| @forsaleeedmsme | 19,959 | - | - |
| @MrLPeachey | 16,563 | - | - |
| @rapclassroom | 15,543 | - | - |
| @DontDivideUsNow | 14,628 | - | - |
| @PetsAsTherapyUK | 14,312 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,089
Followers With Bio
4,911
Followers Without Bio
50.89%
% With Bio
49.11%
% 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 analyzed2,493
Combined Engagement
2,089
Total Likes
404
Total Retweets
499
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
We know that some of you have questions about yesterday’s GCSE Physics (8463) Higher Tier Paper 1. Here’s an update > https://t.co/V6a0tspkuy. #AQAPhysics #GCSEPhysics https://t.co/LGld9Zzh9L
All award meetings have finished and grade boundaries have now been set by senior examiners. https://t.co/aAMstFccQp
Good news! We’ve been accredited by Ofqual. The new GCSE French specification and sample assessment materials are available on our website ready for first teaching in September 2024. #GCSEFrench #MFLTwitterati
We’ve sent GCSE results to schools ahead of tomorrow’s release to students. Find out more > https://t.co/IcSxLzP0VU https://t.co/xOZVO6ad6I
This week, students will be receiving results from the summer GCSE exams. Grade boundaries will be released at 8am on #Resultsday and results will be available as follows… https://t.co/XGHeAKMifw
Key Insights & Takeaways
The account frequently shares updates about exam results and grade boundaries, which are critical for students and teachers. It provides support and clarification on exam papers, addressing concerns and offering reassurance. The account is active during school hours, suggesting it is designed for real-time communication and support.
Strengths
- + Established follower base of 56,184
- + 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 @AQA reveals an growing Twitter presence with 56,184 followers. The account demonstrates a conversation-first approach, averaging 4.3 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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