Blair Walsh
57,554
Followers
585
Following
4,369
Tweets
290.4
Avg Engagement
514
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BlairWalsh3'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:2010-04-18
- Verification:No
- Location:Newport Beach, CA
Data Summary
- Tweets Analyzed:3,170
- Avg Likes per Tweet:30.0
- Avg Retweets per Tweet:260.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,170 tweetsBlairWalsh3's tweets receive a steady level of engagement, with an average of 1,716 likes and 655 retweets. The engagement is likely driven by the emotional and supportive nature of their posts, which resonate with their audience.
30.0
Avg Likes/Tweet
260.4
Avg Retweets/Tweet
95,026
Total Likes
825,505
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
2
Median Retweets
37
75th Percentile
673,466
Top Tweet
5.05
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
42.7%
Original
40.8%
Replies
14.0%
Retweets
2.5%
Quotes
0.0%
Threads
0.1%
With Media
17.6%
With Links
28.6%
With #Tags
68.8%
With @Mentions
2.3%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.95
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.4%
Weekday Posts
25.6%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,170 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 443 retweets (14% 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 3,170 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 followersThe audience appears to be sports enthusiasts, particularly fans of football and other team sports, given the mentions of athletes and team-related hashtags. There is also a personal touch, suggesting a connection with followers through emotional support and encouragement.
Average
Audience Quality
26.1%
Suspicion Index
31.4%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
25.8%
<10 Tweets
16.3%
Mass Following (>2K)
0.0%
New (<90 days)
52.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.3%
No URL
17.8%
<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.
35,431,959
Total Potential Reach
44
Median Follower Reach
185
75th Percentile Reach
5.9%
>1K followers
1.3%
>10K followers
0.5%
>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).
55.3%
Creators
5,528 accounts
18.9%
Consumers
1,889 accounts
25.8%
Dormant
2,583 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):
78
Verified Followers
0.78% of total
1,073
Protected Accounts
10.73% of total
8 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 | 14,075,893 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Seahawks | 2,562,852 | Sports Team | Football, Seattle, #GoHawks |
| @PeteCarroll | 2,125,287 | Coach | Seattle Seahawks, Helping people, Always Compete |
| @6BillionPeople | 2,013,328 | - | - |
| @BarstoolBigCat | 1,647,181 | Sports commentator | Sports, Podcasting, Gambling |
| @minakimes | 866,390 | Sports Analyst | NFL, crossword, analytics |
| @TitusONeilWWE | 615,642 | Wrestler | WWE, Fatherhood, Entertainment |
| @heykayadams | 590,125 | Sports Analyst | sports, football, fantasy sports |
| @MJD | 479,990 | Analyst | Football, Analyst, Rams |
| @ramonashelburne | 421,838 | Sports Journalist | Basketball, Sports, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,491
Followers With Bio
4,509
Followers Without Bio
54.91%
% With Bio
45.09%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,170 analyzed721,132
Combined Engagement
0
Total Likes
721,132
Total Retweets
144,226
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @AHMalcolm: For every retweet this gets, Pedigree will donate one bowl of dog food to dogs in need! 😊 #tweetforbowls http://t.co/z4rmc2HsGT
RT @ManUtd: A salute to @WayneRooney. https://t.co/H2iHvgOgI2 https://t.co/IfE3r777Rw
RT @SportsCenter: THE HEAT ARE FINALS BOUND 😎 https://t.co/XvOEeOESuL
RT @DwyaneWade: I love this @MiamiHEAT team!
RT @ManUtd: Another year of @Ibra_official! 🦁 https://t.co/6WgAcDRsOR
Key Insights & Takeaways
The user frequently supports athletes and teams, showing a strong connection to sports culture. They use hashtags like #skol and #2Dubs, indicating a specific fan base or community. Their tweets often include personal messages, suggesting a desire to build a close relationship with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 57,554
- + 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 @BlairWalsh3 reveals an well-established Twitter presence with 57,554 followers. The account demonstrates a content-creator strategy, averaging 290.4 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access