Evan Lazar
Staff writer and host of Patriots Catch-22 at https://www.patriots.com/. Thanks to @guertin11 for putting up with football season. Thoughts are my own.
69,064
Followers
1,348
Following
65,187
Tweets
198.1
Avg Engagement
1,195
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ezlazar'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:2010-12-13
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:181.9
- Avg Retweets per Tweet:16.2
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,250 tweetsEzlazar's tweets typically receive a high number of likes and retweets, indicating a responsive and engaged audience. His content is often shared, suggesting its relevance and appeal.
181.9
Avg Likes/Tweet
16.2
Avg Retweets/Tweet
591,279
Total Likes
52,652
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
77
Median Likes
4
Median Retweets
212
75th Percentile
7,321
Top Tweet
2.87
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
46.6%
Original
29.9%
Replies
5.8%
Retweets
17.7%
Quotes
0.0%
Threads
0.0%
With Media
42.3%
With Links
42.4%
With #Tags
25.7%
With @Mentions
1.4%
With Emojis
155
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.64
Reply/Original Ratio
3.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
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.
The 189 retweets (6% 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 3,250 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 10,999 followersHis followers are likely football enthusiasts, particularly fans of the New England Patriots. The audience seems interested in sports analysis and commentary.
Average
Audience Quality
26.1%
Suspicion Index
35.5%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.6%
Empty Bio
30.6%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
49.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
20.3%
<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.
8,287,027
Total Potential Reach
35
Median Follower Reach
144
75th Percentile Reach
4.5%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.9%
Creators
5,157 accounts
22.5%
Consumers
2,478 accounts
30.6%
Dormant
3,364 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):
164
Verified Followers
1.49% of total
1,048
Protected Accounts
9.53% 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 |
|---|---|---|---|
| @LeBronJames | 938,607 | - | - |
| @THE_THEO_FORD | 475,432 | - | - |
| @phillyrob1 | 271,972 | Unknown | East Coast, Philly, Rob |
| @BurtonBrown | 268,331 | Survivor | Family, Cancer Survivor, Sunshine |
| @Ramon_AlvarezMM | 211,137 | Communicator | Real Madrid, Communication, Writing |
| @mastersofmoney1 | 202,145 | Entrepreneur | - |
| @rebeccagrants | 188,335 | Sportscaster | movies, TV, sports |
| @RearAdBsBlog | 183,451 | Podcaster | Hockey, Podcasting, Writing |
| @MarkWOfficial | 165,742 | Musician | Music, Travel, Fitness |
| @thecoachtube | 159,336 | Sports coaching | sports, coaching, potential |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,430
Followers With Bio
5,569
Followers Without Bio
49.37%
% With Bio
50.63%
% 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 analyzed21,849
Combined Engagement
10,003
Total Likes
11,846
Total Retweets
4,370
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @celtics: https://t.co/s2bG8yaZLg https://t.co/X3BVXJ1qqa
So the #Patriots essentially swapped Jakobi Meyers and Jonnu Smith for JuJu and Mike Gesicki. On paper, these are upgrades. Now we’ll see. https://t.co/WFvzZU0XKj
You gotta re-post this one. https://t.co/1aHJ5IS1Q5
RT @RapSheet: From Damar Hamlin’s agent Ira Turner of @Agency1AMG: “Please continue to pray for Damar and his family. We currently have no update at this time. Will ask that you keep the family in your prayers.“
No caption needed. https://t.co/vBe5LAHwiI
Key Insights & Takeaways
Ezlazar frequently shares in-depth analysis of Patriots' roster moves and player trades. He emphasizes the importance of critical thinking and personal opinion in sports discussions. His content is often concise and visually supported with links to additional resources.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,064
- + 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 @ezlazar reveals an well-established Twitter presence with 69,064 followers. The account demonstrates a content-creator strategy, averaging 198.1 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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