claire rogers
@golf_com | https://www.instagram.com/accounts/login/?next=https%3A%2F%2Fwww.instagram.com%2Fkclairerogers&is_from_rle
46,615
Followers
560
Following
4,568
Tweets
384.0
Avg Engagement
430
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kclairerogers'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:2011-07-07
- Verification:Yes
- Location:Boston, MA
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:374.7
- Avg Retweets per Tweet:9.2
- Followers Analyzed:36,843
Engagement Analysis
Based on 500 tweetsThe account consistently receives high engagement, indicating a loyal and active audience. The use of visuals and relatable content helps drive interaction.
374.7
Avg Likes/Tweet
9.2
Avg Retweets/Tweet
187,368
Total Likes
4,623
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
107
Median Likes
1
Median Retweets
399
75th Percentile
6,733
Top Tweet
8.24
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
40.0%
Original
47.2%
Replies
6.4%
Retweets
6.4%
Quotes
0.0%
Threads
1.0%
With Media
43.6%
With Links
1.2%
With #Tags
45.0%
With @Mentions
6.0%
With Emojis
80
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.18
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
65.6%
Weekday Posts
34.4%
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 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 32 retweets (6% 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 36,843 followersThe audience is primarily golf enthusiasts and sports fans interested in behind-the-scenes and human-interest stories. They appreciate the blend of humor and insight into the sport.
Good
Audience Quality
18.7%
Suspicion Index
25.4%
Low-Quality %
105
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
13.1%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
36.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
8.2%
<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.
36,536,230
Total Potential Reach
105
Median Follower Reach
286
75th Percentile Reach
7.0%
>1K followers
1.2%
>10K followers
0.2%
>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).
71.6%
Creators
26,386 accounts
15.3%
Consumers
5,639 accounts
13.1%
Dormant
4,818 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):
829
Verified Followers
2.25% of total
6,057
Protected Accounts
16.44% 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 |
|---|---|---|---|
| @SInow | 1,859,073 | Sports Media | Sports, TikTok, Instagram |
| @espnsutcliffe | 939,995 | Sports Reporter | Sports, Reporting, Contact |
| @andrewchristian | 848,813 | Fashion Designer | Fashion, Discounts, Launches |
| @PaigeSpiranac | 848,562 | Golfer | Golf, Fitness, Fashion |
| @Brodiesmith21 | 845,709 | Athlete | Disc Golf, Ultimate Frisbee, Golf |
| @DietmarHamann | 633,428 | Footballer | Football, Pundit, Liverpool |
| @maxhoma23 | 565,374 | - | - |
| @GOLF_com | 478,694 | Golf Media | Golf, Life, Well Played |
| @NoLayingUp | 425,996 | Golf Analysts | Golf, Podcast, TourSauce |
| @ForePlayPod | 390,318 | Podcast | golf, podcasting, humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
21,173
Followers With Bio
15,670
Followers Without Bio
57.47%
% With Bio
42.53%
% 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 analyzed21,565
Combined Engagement
20,856
Total Likes
709
Total Retweets
4,313
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Ivy Lowry and Poppy McIlroy ❤️ (📸: @Christiankp21) https://t.co/2D0nflov8h
If you ever feel useless just know that this sign exists https://t.co/bIH6p9AQtx
My favorite genre of golf photo is Michael Greller looking emotionally exhausted while Jordan explains what he’s about to do https://t.co/A7DGiYzMTa
PSA: The queen has arrived. (📸: @patricksmith04) https://t.co/Jf9PIxAGCf
Jesus sacrificed his life for us on Good Friday. On Holy Saturday, JT sacrificed his weekend at Augusta for Tiger.
Key Insights & Takeaways
The account often highlights emotional and human moments in golf, which resonate with followers. It leverages verified status and visual content to boost credibility and engagement. The focus on storytelling and humor helps differentiate it from other sports accounts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 46,615
- + 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 @kclairerogers reveals an well-established Twitter presence with 46,615 followers. The account demonstrates a conversation-first approach, averaging 384.0 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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