Will Weinbach
mgmt: [email protected] publicist: [email protected]
369,747
Followers
9,424
Following
31
Tweets
3.9
Avg Engagement
447
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Weinbach'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:2016-08-06
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:2,011
- Avg Likes per Tweet:3.1
- Avg Retweets per Tweet:0.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,011 tweetsWeinbach's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their posts often include links and calls to action, driving further engagement.
3.1
Avg Likes/Tweet
0.9
Avg Retweets/Tweet
6,157
Total Likes
1,777
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
3,723
Top Tweet
0.01
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
4.3%
Original
80.0%
Replies
15.1%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
11.3%
With Links
4.0%
With #Tags
96.8%
With @Mentions
3.1%
With Emojis
101
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
18.48
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,011 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 303 retweets (15% 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 2,011 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 followersTheir audience includes music fans, artists, and industry professionals. The content appeals to those interested in entertainment and automotive sectors.
Good
Audience Quality
16.1%
Suspicion Index
13.0%
Low-Quality %
181
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
18.9%
Empty Bio
13.6%
<10 Tweets
23.8%
Mass Following (>2K)
0.0%
New (<90 days)
23.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.2%
No URL
7.1%
<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.
274,642,889
Total Potential Reach
181
Median Follower Reach
722
75th Percentile Reach
20.0%
>1K followers
3.7%
>10K followers
1.3%
>50K followers
0.8%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.6%
Creators
33,823 accounts
18.7%
Consumers
9,370 accounts
13.6%
Dormant
6,807 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):
2,334
Verified Followers
2.33% of total
8,759
Protected Accounts
8.76% 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 | 14,103,608 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Michael5SOS | 9,977,457 | Musician | music, penguins, person |
| @shanedawson | 8,204,367 | YouTuber | Merchandise, YouTube, Comedy |
| @MissyElliott | 7,045,992 | Musician | GOD, AVANT GARDE, COOLOFF |
| @franco_esca | 6,162,434 | Comedian | sarcasm, comedy, music |
| @scooterbraun | 3,601,555 | Music Manager | Music, Philanthropy, Entertainment |
| @AaronCarpenter | 3,124,914 | Influencer | music, fitness, travel |
| @benlandis | 2,849,832 | - | - |
| @DaneCook | 2,685,058 | Comedian | comedy, entertainment, humor |
| @DavidHenrie | 2,507,855 | Actor | husband, dad, content creator |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
81,249
Followers With Bio
18,751
Followers Without Bio
81.25%
% With Bio
18.75%
% 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 2,011 analyzed4,851
Combined Engagement
4,058
Total Likes
793
Total Retweets
970
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
the new @nickiminaj song is a hit. i recommend streaming :) https://t.co/fO7pLeoabb
@Anitta have an opportunity for you! send me a direct message :)
The @Ford 2022 #F150Lightning is here! Very excited for the future. cc: @jimfarley98 @ebergg @mtruby https://t.co/4Ou38fH7Kl
RT @jimfarley98: Spring deliveries underway. A train of #F150Lightning’s loading up at the Rouge Electric Vehicle Center 🚂 🛻🛻🛻🛻🛻🛻 https://t…
@TTrades69 @jmilinovich @CryptoHipposNFT i'm excited that i'm a crypto hippo holder!
Key Insights & Takeaways
Weinbach leverages artist collaborations to boost engagement and visibility. They promote brand partnerships and product launches effectively. Their content is tailored to both fans and industry stakeholders.
Strengths
- + Established follower base of 369,747
- + High community engagement through conversations
- + 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 @Weinbach reveals an growing Twitter presence with 369,747 followers. The account demonstrates a conversation-first approach, averaging 3.9 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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