Evan Cooper
Gooner for life…
212,607
Followers
9,801
Following
80,068
Tweets
2,136.3
Avg Engagement
623
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Lacazest'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:2014-08-17
- Verification:No
- Location:Middleton, WI
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:2,058.4
- Avg Retweets per Tweet:77.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsLacazest's tweets receive high engagement, with an average of 21,111 likes and 1,443 retweets per tweet. This indicates a highly interactive and passionate audience that values both news and emotional content.
2,058.4
Avg Likes/Tweet
77.9
Avg Retweets/Tweet
6,689,754
Total Likes
253,261
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
961
Median Likes
35
Median Retweets
3,006
75th Percentile
28,725
Top Tweet
10.05
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
68.6%
Original
29.4%
Replies
0.0%
Retweets
2.0%
Quotes
0.0%
Threads
0.1%
With Media
32.8%
With Links
1.0%
With #Tags
31.2%
With @Mentions
63.8%
With Emojis
63
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
51.0%
Weekday Posts
49.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 followersThe audience is primarily football fans, especially Arsenal supporters, who are emotionally invested in the team's performance and events. They are likely looking for real-time updates, emotional content, and breaking news.
Average
Audience Quality
28.0%
Suspicion Index
33.7%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.4%
Empty Bio
33.8%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
57.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
20.1%
<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.
16,221,275
Total Potential Reach
30
Median Follower Reach
128
75th Percentile Reach
3.7%
>1K followers
0.3%
>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).
36.8%
Creators
18,424 accounts
29.4%
Consumers
14,697 accounts
33.8%
Dormant
16,879 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):
165
Verified Followers
0.16% of total
6,874
Protected Accounts
6.81% 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 |
|---|---|---|---|
| @RealMattLucas | 1,258,553 | Actor | Comedy, Acting, Television |
| @AFTVMedia | 800,159 | Media | Football, Arsenal, Fans |
| @HecheJohn | 691,839 | Politician | Politics, Leadership, Public Service |
| @IamMzilikazi | 547,219 | Musician | Pan-African music, Album, Rise |
| @DailyNewsZim | 468,494 | - | - |
| @456k__ | 456,291 | - | - |
| @zammit_marc | 387,580 | Filmmaker | Film, Acting, Producing |
| @thomaspower | 288,156 | Entrepreneur | AI, Bitcoin, Climate |
| @ebnosamaaa | 277,198 | Sports Presenter | Football, Al Ahly, Sports |
| @Aprivate67 | 269,291 | Influencer | Gym, Arsenal, Spicy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,154
Followers With Bio
40,845
Followers Without Bio
59.56%
% With Bio
40.44%
% 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 3,250 analyzed126,955
Combined Engagement
119,487
Total Likes
7,468
Total Retweets
25,391
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Super Tomi. 🇯🇵 https://t.co/HLldBMtiVe
BREAKING: Aaron Ramsdale and Arsenal charged by the FA for getting kicked in the back by a Spurs fan. 🚨
Tears in my eyes. 🥺 https://t.co/jEVziEb3Rt
Best of luck, Nico! 👊🏻 https://t.co/iJf2suEIn7
The Tottenham DNA in Lloris came out at the worst possible moment. 😭
Key Insights & Takeaways
Lacazest's content often blends personal emotion with sports news, creating a strong connection with their audience. Their tweets frequently include links to external content, suggesting they aim to drive traffic or share additional context. They focus on impactful and emotionally charged moments, such as breaking news and personal reflections.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 212,607
- + 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 @Lacazest reveals an exceptionally influential Twitter presence with 212,607 followers. The account demonstrates a content-creator strategy, averaging 2,136.3 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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