Chris Foster
Running Backs Coach At Northwestern University
56,269
Followers
6,136
Following
7,624
Tweets
59.8
Avg Engagement
73
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CoachC_Foster'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:2013-03-19
- Verification:No
- Location:Evanston, IL
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:45.0
- Avg Retweets per Tweet:14.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe average likes and retweets per tweet suggest a consistent level of interaction from the audience. The engagement rate appears to be moderate, with room for growth.
45.0
Avg Likes/Tweet
14.8
Avg Retweets/Tweet
146,139
Total Likes
48,017
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
4
Median Retweets
63
75th Percentile
9,338
Top Tweet
1.06
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
34.1%
Original
23.6%
Replies
29.4%
Retweets
12.9%
Quotes
0.0%
Threads
0.0%
With Media
80.5%
With Links
27.1%
With #Tags
54.8%
With @Mentions
39.0%
With Emojis
66
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 955 retweets (29% 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 3,249 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 followersThe audience likely includes football fans, students, and alumni of Northwestern University. The content is tailored to engage with sports enthusiasts and those interested in college football.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
179
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
49.6%
No URL
100.0%
<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.
5,472,194
Total Potential Reach
179
Median Follower Reach
347
75th Percentile Reach
6.4%
>1K followers
0.8%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
176
Protected Accounts
1.76% of total
3 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 |
|---|---|---|---|
| @BretLockett26 | 90,143 | Business Consultant | Business, Peak Performance, NFL |
| @barstoolWSD | 86,676 | Sports Podcaster | White Sox, Wildcats, Barstool Chicago |
| @BigGameBoomer | 84,830 | - | - |
| @BradPyatt | 82,357 | Entrepreneur | Football, Entrepreneurship, Coaching |
| @ESPNRittenberg | 70,318 | Sports Journalist | college football, sports journalism, broadcasting |
| @BDPRecruiting | 64,558 | Football Recruiter | Football, Recruiting, Indiana |
| @Gsensabaugh43 | 57,774 | Retired Athlete | Football, Dallas Cowboys, Retired Player |
| @thewinningdiff1 | 54,123 | - | - |
| @On3Keith | 47,446 | Recruiter | College football, Auburn, Recruiting |
| @jwiggs85 | 45,693 | Sports Analyst | Football, Boston sports, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,398
Followers With Bio
602
Followers Without Bio
93.98%
% With Bio
6.02%
% 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 3,249 analyzed21,321
Combined Engagement
18,050
Total Likes
3,271
Total Retweets
4,264
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/383o5Hbwiz
https://t.co/kQH273EnPY
https://t.co/foxPQlzRdn
https://t.co/XhjKnzkIto
https://t.co/HHDlv5P4kA
Key Insights & Takeaways
The account focuses on sharing updates and insights related to the Running Backs position at Northwestern University. The top tweets likely highlight key moments, player performances, or team updates. The lack of verification may indicate the account is personal or not officially verified by Twitter.
Strengths
- + Established follower base of 56,269
- + 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 @CoachC_Foster reveals an growing Twitter presence with 56,269 followers. The account demonstrates a content-creator strategy, averaging 59.8 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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