Matt Prior
Ex @sussexccc & @englandcricket cricketer - INSTA @mattprior13
253,519
Followers
727
Following
12,676
Tweets
415.2
Avg Engagement
796
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MattPrior13'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:2012-01-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,183
- Avg Likes per Tweet:63.5
- Avg Retweets per Tweet:351.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,183 tweetsHis tweets typically receive high engagement, with an average of 5,432 likes and 368 retweets per post. The content is well-received, indicating a strong connection with his audience.
63.5
Avg Likes/Tweet
351.6
Avg Retweets/Tweet
202,135
Total Likes
1,119,288
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
30
75th Percentile
181,005
Top Tweet
1.64
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
16.1%
Original
47.6%
Replies
26.2%
Retweets
10.1%
Quotes
0.0%
Threads
0.3%
With Media
25.3%
With Links
17.7%
With #Tags
86.1%
With @Mentions
36.0%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.96
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,183 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 834 retweets (26% 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 3,183 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 followersHis audience primarily consists of cricket fans, especially those interested in England and India's matches. The content appeals to both casual viewers and dedicated followers of the sport.
Average
Audience Quality
31.2%
Suspicion Index
29.5%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
30.7%
<10 Tweets
14.7%
Mass Following (>2K)
0.0%
New (<90 days)
78.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
17.1%
<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.
57,059,780
Total Potential Reach
22
Median Follower Reach
84
75th Percentile Reach
2.6%
>1K followers
0.3%
>10K followers
0.1%
>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).
40.4%
Creators
20,214 accounts
28.9%
Consumers
14,430 accounts
30.7%
Dormant
15,356 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):
122
Verified Followers
0.12% of total
8,500
Protected Accounts
8.42% of total
7 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 |
|---|---|---|---|
| @ImRaina | 20,955,367 | Cricketer | Cricket, Co-Founder, Care |
| @ICC | 19,069,433 | Sports Governance | Cricket, Sports, Global |
| @JohnCena | 14,101,177 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cricbuzz | 4,922,412 | Sports News | Cricket, Sports, News |
| @faf1307 | 2,042,028 | Cricketer | Cricket, Jesus, Family |
| @darensammy88 | 2,039,766 | Entrepreneur | Commercial ventures, Business, Comfort zones |
| @zlj517 | 1,985,522 | Spokesman | Geopolitics, Diplomacy, Communication |
| @Nigel_Farage | 1,758,194 | Politician | Politics, News, Television |
| @oisoo | 1,718,384 | Novelist | Korean literature, storytelling, emotions |
| @MichaelVaughan | 1,562,152 | Model | Cricket, Fashion, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,243
Followers With Bio
46,756
Followers Without Bio
53.71%
% With Bio
46.29%
% 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 3,183 analyzed394,638
Combined Engagement
0
Total Likes
394,638
Total Retweets
78,928
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @wwf_uk: There was worldwide outcry when the Notre Dame cathedral was on fire. Why is there not the same level of outrage for the fires…
RT @cctvidiots: Kids... without wifi! https://t.co/8ipydmCgnm
RT @doglab: It takes 3.2 sec to RT and help find them this happened in #Bradford https://t.co/zOnnaiAOnm
RT @RupertMyers: The U.K. brexiting https://t.co/9MYXSjLGMo
RT @SuzMember: Twitter family.. Please share and identify this Bully and his school.. “Zero tollerance on bullies expose them and deal with…
Key Insights & Takeaways
He frequently praises top players like Virat Kohli and Chris Gayle, highlighting their performances. He uses hashtags like #INDvENG to engage with fans and track match discussions. His tweets often reflect his personal opinions on cricket matches and player performances.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 253,519
- + 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 @MattPrior13 reveals an well-established Twitter presence with 253,519 followers. The account demonstrates a conversation-first approach, averaging 415.2 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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