Cat Scratch Reader
Cat Scratch Reader is the official Panthers blog of @sbnation and the #1 source of Panthers news on the web.
15,397
Followers
296
Following
41,201
Tweets
15.1
Avg Engagement
618
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CatScratchReadr'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:2009-03-30
- Verification:No
- Location:Charlotte, NC
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:12.3
- Avg Retweets per Tweet:2.9
- Followers Analyzed:15,313
Engagement Analysis
Based on 500 tweetsThe account shows consistent engagement with its followers, though the average likes and retweets are relatively low compared to its follower count. The content is likely shared within a niche community of Panthers supporters.
12.3
Avg Likes/Tweet
2.9
Avg Retweets/Tweet
6,128
Total Likes
1,429
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
13
75th Percentile
520
Top Tweet
0.98
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
65.4%
Original
14.6%
Replies
3.2%
Retweets
16.8%
Quotes
0.0%
Threads
0.0%
With Media
50.8%
With Links
1.0%
With #Tags
16.8%
With @Mentions
1.8%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
5.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
51.8%
Weekday Posts
48.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 16 retweets (3% 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 500 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 15,313 followersThe audience primarily consists of Panthers fans and sports enthusiasts interested in in-depth analysis and updates. The content is tailored to engage with fans who follow NFL news closely.
Good
Audience Quality
17.3%
Suspicion Index
22.8%
Low-Quality %
84
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
12.5%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
35.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
7.5%
<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.
21,151,010
Total Potential Reach
84
Median Follower Reach
270
75th Percentile Reach
7.2%
>1K followers
1.2%
>10K followers
0.3%
>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).
71.1%
Creators
10,892 accounts
16.4%
Consumers
2,514 accounts
12.5%
Dormant
1,907 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):
245
Verified Followers
1.6% of total
1,918
Protected Accounts
12.53% of total
10 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 |
|---|---|---|---|
| @Panthers | 3,077,760 | Sports Team | Football, Carolina, Dancing |
| @RealGrumpyCat | 1,527,892 | Meme Celebrity | Cats, Grumpy, TeamGrumpy |
| @soledadobrien | 1,320,039 | Journalist | working, mom, journalist |
| @LeBronJames | 1,006,040 | - | - |
| @CoachSchuman | 589,141 | Football Coach | Football, Recruiting, Motivation |
| @gregolsen88 | 505,035 | Retired Athlete | Family, Football, Heart Disease |
| @SlimJim | 490,659 | Snack Influencer | meat, long boi, champions |
| @500K_______ | 455,660 | - | - |
| @krispykreme | 377,181 | Bakery | Doughnuts, Glazed, Original |
| @DeAngeloRB | 312,193 | Athlete | Football, Marketing, Bold Sports Marketing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,474
Followers With Bio
5,839
Followers Without Bio
61.87%
% With Bio
38.13%
% 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 500 analyzed1,501
Combined Engagement
918
Total Likes
583
Total Retweets
300
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @DJChark82: Thank You Detroit https://t.co/kSqjL5jQT8
If you had told me D’Onta Foreman and Chuba Hubbard would break the record that DeAngelo Williams and Jonathan Stewart set for rushing yards in a game before the season, I might have requested you turn in all of your Panthers jerseys
Kenny Pickett when he realizes he’s facing an undefeated Sam Darnold this week https://t.co/xZGBif28Nv
I just want Christian McCaffrey to be happy
Me today https://t.co/3zFPlo1mYa
Key Insights & Takeaways
The account often highlights key player performances and records, showing a focus on impactful moments in games. It shares content that reflects on past performances and connects them to current events, indicating a narrative-driven approach. The use of verified links suggests a commitment to providing accurate and up-to-date information to its audience.
Strengths
- + Established follower base of 15,397
- + 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 @CatScratchReadr reveals an growing Twitter presence with 15,397 followers. The account demonstrates a content-creator strategy, averaging 15.1 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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