Northamptonshire CCC
🛡 #MadeOfSteel See it all in 2024! Season Tickets are now available.
72,134
Followers
292
Following
38,025
Tweets
33.0
Avg Engagement
455
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NorthantsCCC'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:2009-10-22
- Verification:No
- Location:NN1 4PR
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:30.9
- Avg Retweets per Tweet:2.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,249 tweetsOn average, tweets receive 1,616 likes and 62 retweets, indicating a moderate level of interaction. The content is well-received by the followers.
30.9
Avg Likes/Tweet
2.1
Avg Retweets/Tweet
100,444
Total Likes
6,716
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
31
75th Percentile
4,648
Top Tweet
0.46
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
81.2%
Original
3.1%
Replies
10.5%
Retweets
5.2%
Quotes
0.0%
Threads
0.3%
With Media
76.3%
With Links
4.5%
With #Tags
21.1%
With @Mentions
65.8%
With Emojis
136
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.2%
Weekday Posts
19.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 342 retweets (11% 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 3,249 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 10,999 followersThe audience is likely cricket fans, especially those interested in Northamptonshire County Cricket Club. They are engaged with both promotional and celebratory content.
Average
Audience Quality
30.3%
Suspicion Index
34.6%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.0%
Empty Bio
36.1%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
68.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
24.3%
<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.
18,363,354
Total Potential Reach
18
Median Follower Reach
91
75th Percentile Reach
3.2%
>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).
39.2%
Creators
4,316 accounts
24.7%
Consumers
2,717 accounts
36.1%
Dormant
3,966 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):
31
Verified Followers
0.28% of total
873
Protected Accounts
7.94% 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 |
|---|---|---|---|
| @JohnCena | 14,093,867 | Wrestler | Wrestling, Motivation, Self-promotion |
| @iNaseemShah | 783,742 | Cricketer | Cricket, Management, Quetta |
| @zammit_marc | 385,497 | Filmmaker | Film, Acting, Producing |
| @JimmyNeesh | 366,445 | Cricketer | Cricket, Firebirds, Blackcaps |
| @lynny50 | 274,977 | Cricketer | Cricket, Sports Coaching, Training |
| @AdaDeranaSports | 102,142 | Sports News | Sports, News, World |
| @Visiongeo | 88,957 | Philanthropist | NGO funding, Philanthropy, Travel |
| @IndianSportFan | 73,042 | Sports Fan | Sports, Fans, Respect |
| @FrannyBenali | 44,555 | Football Pundit | Football, Speaker, Pundit |
| @SuhaibSaqib1 | 39,578 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,048
Followers With Bio
4,951
Followers Without Bio
54.99%
% With Bio
45.01%
% 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 3,249 analyzed13,249
Combined Engagement
12,882
Total Likes
367
Total Retweets
2,650
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Good morning Australia 👋 https://t.co/gGNhKkneDR
Respect for the spell. 👊 Even greater respect for bowling the spell in a beanie, in July. 👊👊 https://t.co/hnPQ5OaiOO
We shouldn't need to say this. https://t.co/jnnZ8jdvtF
Thanks for the game, @BCCI 🤝 India win an excellent game of cricket by 10 runs. Great to see so many supporters giving Wantage Road an incredible atmosphere today! 👏 https://t.co/qYBx2cnZ5x
𝐇𝐞'𝐬 𝐜𝐨𝐦𝐢𝐧𝐠 𝐡𝐨𝐦𝐞. 🏵 We're delighted to confirm David Willey will return to Northamptonshire at the end of the season to begin a new 4 year contract with the club. Full details 👉 https://t.co/OjGKWIT2TE https://t.co/EpqA3gPl9S
Key Insights & Takeaways
The account uses emojis and hashtags to make content more engaging and relatable. It promotes season tickets and events, indicating a focus on audience growth and engagement. The content often highlights respect for players and performances, which builds a positive brand image.
Strengths
- + Established follower base of 72,134
- + 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 @NorthantsCCC reveals an growing Twitter presence with 72,134 followers. The account demonstrates a content-creator strategy, averaging 33.0 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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