Leigh Diffey
NBC Sports Broadcaster. Keynote speaker. Aussie-American. Instagram @leighdiffey Rep: @octagon @sixof11
51,344
Followers
3,979
Following
22,357
Tweets
281.3
Avg Engagement
885
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @leighdiffey'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:2011-03-03
- Verification:No
- Location:Connecticut
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:52.3
- Avg Retweets per Tweet:229.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsDiffey's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often sparks discussions among followers.
52.3
Avg Likes/Tweet
229.0
Avg Retweets/Tweet
169,977
Total Likes
743,730
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
2
Median Retweets
89
75th Percentile
144,803
Top Tweet
5.48
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
30.0%
Original
0.0%
Replies
32.0%
Retweets
38.0%
Quotes
0.0%
Threads
0.7%
With Media
80.5%
With Links
37.4%
With #Tags
64.6%
With @Mentions
44.6%
With Emojis
159
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.0%
Weekday Posts
37.0%
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 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 1,039 retweets (32% 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 followersHis audience includes sports fans, particularly those interested in motorsports, and individuals who appreciate personal stories and humor. The audience also shows interest in his professional work and personal life.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
55
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)
83.5%
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.
32,240,642
Total Potential Reach
55
Median Follower Reach
223
75th Percentile Reach
8.0%
>1K followers
1.5%
>10K followers
0.4%
>50K followers
0.3%
>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
952
Protected Accounts
9.52% 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 |
|---|---|---|---|
| @JohnCena | 14,097,488 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JimmieJohnson | 2,551,873 | Racer | Dad, Husband, Racer |
| @joncoopertweets | 1,292,307 | Political Strategist | Politics, Fundraising, Campaigns |
| @NOH8Campaign | 799,388 | Activism | equality, bullying, discrimination |
| @MattP1Gallagher | 707,826 | - | - |
| @autosport | 564,693 | Motorsport journalism | Motorsport, News, Analysis |
| @Motorsport | 438,205 | Motorsport News | Racing, Content, Prime |
| @Marcus4Georgia | 412,745 | Politician | Army Veteran, Patriot, Democrat |
| @Weinbach | 372,425 | Sports Commentator | Basketball, Sports, Media |
| @DAYTONA | 364,635 | Racing | NASCAR, Racing, Daytona500 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,551
Followers With Bio
3,449
Followers Without Bio
65.51%
% With Bio
34.49%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed343,058
Combined Engagement
0
Total Likes
343,058
Total Retweets
68,612
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @EliudKipchoge: HISTORY! https://t.co/qjLfofhL5s
RT @ManUtd: Manchester United can confirm that Ole Gunnar Solskjaer has left his role as Manager. Thank you for everything, Ole ❤️ #MUFC
RT @F1: BREAKING: Sebastian Vettel has announced he will retire from F1 at the end of the 2022 season 4 world titles 53 race wins 122 podiums 1 phenomenal career #ThankYouSeb https://t.co/K8BVXI6IAx
RT @consequence: Taylor Hawkins' 16-year-old son, Shane, does his father proud as he sits behind the kit for @FooFighters' performance of "My Hero." #FooFighters #TaylorHawkinsTribute https://t.co/PU705CpO2R
RT @LewisHamilton: Seb, it’s been an honour to call you a competitor and an ever greater honour to call you my friend. Leaving this sport better than you found it is always the goal. I have no doubt that whatever comes next for you will be exciting, meaningful, and rewarding. Lov
Key Insights & Takeaways
He frequently comments on motorsports events and driver behavior, showing deep knowledge and passion for the sport. He shares personal milestones and family moments, which helps build a connection with his audience. His use of multiple platforms, including Instagram, suggests a strategic approach to maintaining a broad and engaged following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,344
- + 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 @leighdiffey reveals an well-established Twitter presence with 51,344 followers. The account demonstrates a content-creator strategy, averaging 281.3 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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