Will Gottlieb
CHGO Bulls
10,691
Followers
608
Following
27,336
Tweets
87.7
Avg Engagement
430
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Will_Gottlieb'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:2010-12-15
- Verification:No
- Location:Chicago
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:62.2
- Avg Retweets per Tweet:25.5
- Followers Analyzed:9,898
Engagement Analysis
Based on 3,249 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is often shared and discussed within the Bulls fan community.
62.2
Avg Likes/Tweet
25.5
Avg Retweets/Tweet
202,089
Total Likes
82,869
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
2
Median Retweets
47
75th Percentile
25,826
Top Tweet
8.2
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
56.2%
Original
12.9%
Replies
19.3%
Retweets
11.6%
Quotes
0.0%
Threads
0.0%
With Media
53.0%
With Links
7.0%
With #Tags
34.1%
With @Mentions
10.2%
With Emojis
129
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 626 retweets (19% 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 3,249 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 9,898 followersThe audience primarily consists of Chicago Bulls fans and sports enthusiasts. They engage with his content through likes and retweets, showing interest in team dynamics and player interactions.
Good
Audience Quality
18.4%
Suspicion Index
20.0%
Low-Quality %
125
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.1%
Empty Bio
10.9%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
36.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.4%
No URL
6.9%
<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.
48,112,790
Total Potential Reach
125
Median Follower Reach
419
75th Percentile Reach
14.1%
>1K followers
3.8%
>10K followers
0.8%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.0%
Creators
7,625 accounts
12.0%
Consumers
1,191 accounts
10.9%
Dormant
1,082 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):
353
Verified Followers
3.57% of total
1,221
Protected Accounts
12.34% of total
9 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 | 14,106,731 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,304 | - | - |
| @BarstoolBigCat | 1,643,875 | Sports commentator | Sports, Podcasting, Gambling |
| @Ballislife | 1,487,063 | Sports Media | Basketball, Highlights, App |
| @TheSteinLine | 1,456,991 | Sports Journalist | NBA, correspondent, dad |
| @BR_NBA | 1,129,276 | Sports Journalist | Basketball, News, Opinion |
| @LeBronJames | 1,006,957 | - | - |
| @nate_robinson | 922,499 | Athlete | Basketball, Slam Dunk, Boxing |
| @SleepSkee | 711,383 | Musician | Music, Independent, Artist |
| @mkraju | 636,497 | Journalist | Politics, Chicago sports, Wisconsin Badgers |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,624
Followers With Bio
3,274
Followers Without Bio
66.92%
% With Bio
33.08%
% 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 3,249 analyzed56,197
Combined Engagement
36,637
Total Likes
19,560
Total Retweets
11,239
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
I solved the NBA https://t.co/bjODVtfS8E
RT @wojespn: The Nets have suspended Kyrie Irving.
Bulls fans internal struggle on whether or not to be happy with tonight's win https://t.co/tThgeS1tlv
RT @KDTrey5: I can’t tell you what the results would be, but I do know that steve kerr would’ve demanded that we put steve kerr in as many pick and rolls as possible https://t.co/PxeBdsCt3F
DeMar interrupts Pat Bev singing Billy Donovan’s praises “Billy Donovan got some shit man, he got some shit” DeMar: “explicit man, I love it. I ain’t the only one who cuss in interviews now” https://t.co/6w4ZtdYTtO
Key Insights & Takeaways
He often highlights team dynamics and player interactions, which resonate with fans. His content includes humor and personal commentary, making it relatable and engaging. He uses verified links to share in-depth analysis or related content.
Strengths
- + Established follower base of 10,691
- + 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 @Will_Gottlieb reveals an growing Twitter presence with 10,691 followers. The account demonstrates a content-creator strategy, averaging 87.7 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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