Isabelle Westbury
@RoyalAirForce Legal Officer | Otherwise cricket things (@triplemcricket, prev. @bbctms, @telecricket etc.) | Ex-@Middlesex_CCC skipper | Own views...
59,164
Followers
6,588
Following
20,728
Tweets
222.6
Avg Engagement
368
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @izzywestbury'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:2011-05-29
- Verification:No
- Location:Flying a desk
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:162.2
- Avg Retweets per Tweet:60.4
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,246 tweetsizzywestbury's tweets receive an average of 11,810 likes and 1,147 retweets, indicating strong audience interaction. Their content is well-received, with a notable portion of their followers being active participants in discussions.
162.2
Avg Likes/Tweet
60.4
Avg Retweets/Tweet
526,470
Total Likes
196,187
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
0
Median Retweets
92
75th Percentile
39,577
Top Tweet
3.76
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
27.0%
Original
57.7%
Replies
9.2%
Retweets
6.1%
Quotes
0.0%
Threads
0.4%
With Media
25.1%
With Links
25.0%
With #Tags
63.5%
With @Mentions
19.2%
With Emojis
141
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.14
Reply/Original Ratio
0.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.0%
Weekday Posts
35.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 300 retweets (9% 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 3,246 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 primarily consists of cricket fans and individuals interested in military and legal professions. They are likely to be engaged by sports news, personal stories, and cultural references.
Average
Audience Quality
25.9%
Suspicion Index
23.6%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.6%
Empty Bio
17.6%
<10 Tweets
21.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
10.5%
<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.
24,732,594
Total Potential Reach
56
Median Follower Reach
188
75th Percentile Reach
6.2%
>1K followers
1.0%
>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).
61.7%
Creators
6,787 accounts
20.7%
Consumers
2,274 accounts
17.6%
Dormant
1,938 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):
65
Verified Followers
0.59% of total
1,034
Protected Accounts
9.4% 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 |
|---|---|---|---|
| @JohnCena | 14,076,028 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ZAbbasOfficial | 2,254,961 | Sports Presenter | Cricket, Sports, Media |
| @AaronFinch5 | 1,302,268 | Cricketer | Cricket, Golf, Australia |
| @AlexHorne | 375,567 | Comedian | Taskmaster, Treasure Hunt, BADGOLF |
| @TandMHD | 246,754 | Music Producer | Music, Production, TV |
| @HerbertRSim | 223,182 | Investor | Economics, GeoPolitics, AI |
| @RoughTradeRecs | 206,442 | Record Label | Music, Record Label, Demos |
| @UKDefJournal | 111,578 | Journalist | Defence, News, Analysis |
| @DrJessTaylor | 99,233 | - | - |
| @GoodpodsHQ | 96,453 | Podcast App | Podcasts, Friends, Influencers |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,972
Followers With Bio
4,027
Followers Without Bio
63.39%
% With Bio
36.61%
% 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 3,246 analyzed134,526
Combined Engagement
61,056
Total Likes
73,470
Total Retweets
26,905
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @renaldinhos: Michael Scott as Emmanuel Macron: a thread https://t.co/ujOvIbhrrh
A story in four parts. #itscominghome https://t.co/Qaj50MPlo9
RT @kierandoody: How it started. How it’s going. https://t.co/TPuPIY0Y04
Alright then, visa approved: Pakistan next week for #PAKvAUS. Cannot wait.
Maradonna at 60, George Best at 59 but Shane Warne at 52. All feels mad.
Key Insights & Takeaways
Content about cricket and sports events tends to perform well and drives high engagement. Personal updates and travel announcements are popular and often shared widely. References to sports legends and cultural moments resonate strongly with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,164
- + 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 @izzywestbury reveals an well-established Twitter presence with 59,164 followers. The account demonstrates a conversation-first approach, averaging 222.6 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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