James White
IG:sweetfeet
109,926
Followers
846
Following
10,831
Tweets
4,249.8
Avg Engagement
501
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SweetFeet_White'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:2011-03-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,144
- Avg Likes per Tweet:184.0
- Avg Retweets per Tweet:4,065.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,144 tweetsTheir tweets receive high engagement, with an average of 12,301 likes and 1,378 retweets per post.
184.0
Avg Likes/Tweet
4,065.8
Avg Retweets/Tweet
578,347
Total Likes
12,783,006
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
14
Median Retweets
701
75th Percentile
1,939,082
Top Tweet
38.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
18.0%
Original
18.5%
Replies
47.3%
Retweets
16.1%
Quotes
0.0%
Threads
0.6%
With Media
58.0%
With Links
15.9%
With #Tags
71.3%
With @Mentions
39.6%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,144 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 1,488 retweets (47% 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 3,144 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 10,000 followersTheir audience likely includes fans of New England sports and followers of their personal brand.
Average
Audience Quality
26.5%
Suspicion Index
31.7%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.6%
Empty Bio
27.1%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
58.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
17.8%
<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.
10,728,507
Total Potential Reach
32
Median Follower Reach
135
75th Percentile Reach
4.1%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.0%
Creators
5,098 accounts
22.0%
Consumers
2,197 accounts
27.1%
Dormant
2,705 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):
115
Verified Followers
1.15% of total
899
Protected Accounts
8.99% of total
5 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 |
|---|---|---|---|
| @KirkHerbstreit | 1,650,352 | Sports Analyst | College Football, Ohio State, Sports Broadcasting |
| @CBSSports | 1,382,048 | Sports Media | Sports, News, Updates |
| @THE_THEO_FORD | 472,389 | - | - |
| @shawnemerriman | 440,068 | Athlete | Football, MMA, Sports Business |
| @Moreno | 430,925 | Influencer | Business, Manager, Serious |
| @zammit_marc | 386,541 | Filmmaker | Film, Acting, Producing |
| @garyhgoodridge | 360,634 | Fighter | UFC, Arm Wrestling, Mental Health |
| @phillyrob1 | 274,278 | Unknown | East Coast, Philly, Rob |
| @chanjones55 | 262,803 | - | - |
| @lindacohn | 235,325 | Sports Broadcaster | Mom, Sports, Goalie |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,440
Followers With Bio
4,560
Followers Without Bio
54.4%
% With Bio
45.6%
% 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 3,144 analyzed2,752,820
Combined Engagement
0
Total Likes
2,752,820
Total Retweets
550,564
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @tori_the1: I'm reposting this video every time I see it b/c you can see how kind his spirit was and his life didn't deserve to be taken away from him https://t.co/xq9erpnYiG
RT @almatademafan: check your privilege https://t.co/Wubfujq40L
RT @AndyLunique: Don’t let the media pretend like it ended https://t.co/MPxbX6cDM8
RT @wanderingbritt_: Teacher in me had to do this.. CHILDREN’S BOOKS THAT DISCUSS RACE & RACISM THREAD:
Key Insights & Takeaways
They have a strong connection to New England and its fanbase. Their content often reflects gratitude and appreciation for support. They maintain an active and engaged online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109,926
- + 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 @SweetFeet_White reveals an exceptionally influential Twitter presence with 109,926 followers. The account demonstrates a conversation-first approach, averaging 4,249.8 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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