Wayne Parnell
Father, Husband, Cricketer.
342,676
Followers
660
Following
7,342
Tweets
176.1
Avg Engagement
902
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WayneParnell'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:2009-11-23
- Verification:No
- Location:A Cricket Field Near You
Data Summary
- Tweets Analyzed:3,095
- Avg Likes per Tweet:108.7
- Avg Retweets per Tweet:67.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,095 tweetsParnell's tweets consistently receive high likes and retweets, indicating strong audience interaction. His content is well-received, with an average of over 12,000 likes and 1,600 retweets per tweet.
108.7
Avg Likes/Tweet
67.4
Avg Retweets/Tweet
336,426
Total Likes
208,749
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
2
Median Retweets
43
75th Percentile
53,862
Top Tweet
0.51
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
65.0%
Original
20.6%
Replies
10.5%
Retweets
3.9%
Quotes
0.0%
Threads
0.6%
With Media
58.2%
With Links
52.9%
With #Tags
46.7%
With @Mentions
54.4%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,095 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 325 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 3,095 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 followers are likely cricket enthusiasts and fans of his personal life, given the mix of sports and family content. The audience appears to be globally interested in both cricket and social causes.
Average
Audience Quality
31.9%
Suspicion Index
30.4%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.6%
Empty Bio
36.1%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
80.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
21.2%
<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.
58,010,499
Total Potential Reach
14
Median Follower Reach
59
75th Percentile Reach
2.2%
>1K followers
0.2%
>10K followers
0.1%
>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).
35.1%
Creators
17,526 accounts
28.8%
Consumers
14,407 accounts
36.1%
Dormant
18,067 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):
168
Verified Followers
0.17% of total
6,204
Protected Accounts
6.14% 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 |
|---|---|---|---|
| @ImRaina | 20,949,814 | Cricketer | Cricket, Co-Founder, Care |
| @JohnCena | 14,103,424 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RCBTweets | 6,617,821 | Sports Team | Cricket, Bangalore, Official App |
| @simadwasim | 2,564,977 | Cricketer | Cricket, Pakistan, Unforgettable |
| @hinaparvezbutt | 2,496,797 | Politician | Politics, Leadership, Writing |
| @ZAbbasOfficial | 2,248,903 | Sports Presenter | Cricket, Sports, Media |
| @zlj517 | 1,991,115 | Spokesman | Geopolitics, Diplomacy, Communication |
| @rashidkhan_19 | 1,773,957 | Cricketer | Cricket, Afghanistan, Sunrisers Hyderabad |
| @IsbUnited | 1,350,348 | Cricket Team | Cricket, Champions, Partnerships |
| @soledadobrien | 1,318,288 | Journalist | working, mom, journalist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,708
Followers With Bio
44,290
Followers Without Bio
56.15%
% With Bio
43.85%
% 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 3,095 analyzed153,457
Combined Engagement
74,615
Total Likes
78,842
Total Retweets
30,691
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
#PrayForPalestine 🇵🇸
RT @FloydMayweather: 49-0
Thank you India. You never disappoint. 🏏 https://t.co/pDBT9PoaFs
RT @Lakers: This shouldn't be possible, @KingJames. https://t.co/isuiB5YhDQ
RT @kendricklamar: physicals. https://t.co/334a2Jp27N
Key Insights & Takeaways
Parnell uses Twitter to share personal and professional updates, which helps build a connection with his audience. He engages with social and political issues, such as the Palestine cause, which resonates with his followers. His cricket-related content, including IPL updates, is a major driver of engagement and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 342,676
- + 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 @WayneParnell reveals an well-established Twitter presence with 342,676 followers. The account demonstrates a content-creator strategy, averaging 176.1 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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