Skratch
Highlighting golf's fun, human, and humorous side. 👇👇 Check out current content here!
177,356
Followers
694
Following
7,621
Tweets
716.1
Avg Engagement
1,529
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Skratch'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:2015-01-15
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:621.2
- Avg Retweets per Tweet:94.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsSkratch's tweets consistently receive high engagement, with an average of 14,878 likes and 2,496 retweets per tweet. This indicates a highly interactive and interested audience.
621.2
Avg Likes/Tweet
94.9
Avg Retweets/Tweet
2,018,886
Total Likes
308,418
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
222
Median Likes
17
Median Retweets
709
75th Percentile
45,436
Top Tweet
4.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81.8%
Original
12.9%
Replies
2.4%
Retweets
2.9%
Quotes
0.0%
Threads
0.2%
With Media
97.0%
With Links
23.7%
With #Tags
44.5%
With @Mentions
8.9%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
1.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
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 78 retweets (2% 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 50,000 followersThe audience primarily consists of golf enthusiasts who appreciate humor and relatable content. They are likely to be casual fans and those interested in the lighter side of the sport.
Average
Audience Quality
23.1%
Suspicion Index
31.8%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.0%
Empty Bio
23.0%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
15.7%
<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.
39,100,907
Total Potential Reach
50
Median Follower Reach
188
75th Percentile Reach
4.2%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.6%
Creators
28,812 accounts
19.3%
Consumers
9,673 accounts
23.0%
Dormant
11,515 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):
629
Verified Followers
0.62% of total
15,332
Protected Accounts
15.18% 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 | 14,100,457 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Carlossainz55 | 2,099,130 | Formula 1 Driver | Formula 1, Ferrari, Racing |
| @JManziel2 | 1,889,380 | Athlete | Football, Good vibes |
| @LeonKrauze | 1,584,309 | Journalist | TV, Journalism, Podcasts |
| @BookerT5x | 1,362,777 | Wrestler | Wrestling, Champion, Founder |
| @tribundergi | 1,295,852 | Sports Magazine | Football, Culture, Istanbul |
| @tsnjamesduthie | 871,716 | Sportscaster | Blossom, Brother, Instagram |
| @ODDSbible | 709,335 | Betting | Betting, Community, LADbibleGroup |
| @IamMzilikazi | 547,297 | Musician | Pan-African music, Album, Rise |
| @P2 | 465,294 | Football Player | Football, Vikings, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,519
Followers With Bio
45,480
Followers Without Bio
54.97%
% With Bio
45.03%
% 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 3,250 analyzed141,505
Combined Engagement
72,884
Total Likes
68,621
Total Retweets
28,301
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Charles Barkley with tracer is everything we wanted and more. https://t.co/zCFdgHRFGO
RT @TigerWoods: It is hard to explain how touching today was when I turned on the tv and saw all the red shirts. To every golfer and every…
RT @TigerWoods: Making progress https://t.co/sVQkxEHJmq
This is the best. https://t.co/TSg1yke149
Can't agree on the wind direction? Smoke 'em if you got 'em. https://t.co/YSj7zSbQsu
Key Insights & Takeaways
Skratch's content is highly shareable and relatable, which drives engagement. They often use humor and pop culture references to connect with their audience. Their tweets are concise and visually enhanced with links to external content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 177,356
- + 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 @Skratch reveals an well-established Twitter presence with 177,356 followers. The account demonstrates a content-creator strategy, averaging 716.1 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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