Bob Stauffer
Radio Color Commentator for @edmontonoilers, Host of "Oilers Now" on @630CHED and Panellist on @Sportsnet Oilers Regional Broadcasts
97,193
Followers
489
Following
8,400
Tweets
452.3
Avg Engagement
915
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Bob_Stauffer'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:2011-02-23
- Verification:No
- Location:Edmonton and Around the NHL
Data Summary
- Tweets Analyzed:3,217
- Avg Likes per Tweet:374.0
- Avg Retweets per Tweet:78.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,217 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests that his content is both informative and controversial, sparking debate among followers.
374.0
Avg Likes/Tweet
78.3
Avg Retweets/Tweet
1,203,136
Total Likes
251,801
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
291
Median Likes
23
Median Retweets
560
75th Percentile
13,648
Top Tweet
4.65
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.9%
Original
0.0%
Replies
12.8%
Retweets
10.2%
Quotes
0.0%
Threads
0.2%
With Media
38.6%
With Links
12.9%
With #Tags
42.6%
With @Mentions
5.0%
With Emojis
210
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.79
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,217 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 413 retweets (13% 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 3,217 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 followersHis audience likely includes hockey fans, especially Oilers supporters, and individuals interested in NHL commentary and analysis. They are engaged with his insights and discussions on player performance and officiating.
Average
Audience Quality
28.4%
Suspicion Index
43.4%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.7%
Empty Bio
39.2%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
50.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
29.1%
<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.
18,807,593
Total Potential Reach
13
Median Follower Reach
85
75th Percentile Reach
3.9%
>1K followers
0.5%
>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).
39.1%
Creators
3,911 accounts
21.7%
Consumers
2,172 accounts
39.2%
Dormant
3,917 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):
78
Verified Followers
0.78% of total
741
Protected Accounts
7.41% of total
4 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 | 14,094,144 | Wrestler | Wrestling, Motivation, Self-promotion |
| @garyhgoodridge | 360,902 | Fighter | UFC, Arm Wrestling, Mental Health |
| @10PSharp | 282,939 | Hockey Player | Hockey, Sports, Family |
| @evanderkane | 244,661 | Hockey Player | Hockey, Family, Fashion |
| @lindacohn | 235,212 | Sports Broadcaster | Mom, Sports, Goalie |
| @odognine2 | 177,936 | Hockey Analyst | Hockey, Family, Analyst |
| @bruce_arthur | 153,504 | Columnist | Sports, Fatherhood, Journalism |
| @frankiemacd | 150,951 | Weatherman | Weather Reports, YouTube Videos, Dancing |
| @ericarhodes | 138,966 | Comedian | Comedy, Acting, Podcasting |
| @travisa850 | 129,584 | Cannabis Advocate | Cannabis, GreenLove, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,230
Followers With Bio
5,770
Followers Without Bio
42.3%
% With Bio
57.7%
% 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 3,217 analyzed59,904
Combined Engagement
0
Total Likes
59,904
Total Retweets
11,981
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @GaryLineker: Reports from Argentina that Diego Armando Maradona has died. By some distance the best player of my generation and arguably the greatest of all time. After a blessed but troubled life, hopefully he’ll finally find some comfort in the hands of God. #RipDiego
RT @AlphonsoDavies: Dream come true!!!!!! #AD19⚡️ https://t.co/ks129KFRZD
RT @EdmontonOilers: Rest in peace, Colby Cave. 🖤 https://t.co/oHBUdNAGII
RT @WayneGretzky: https://t.co/WoOI3Zlm6M
RT @EdmontonOilers: "I'm here to stand up to this behaviour... I'm proud of where I come from. I'm proud to be from Ochapowace First Nation. I'm not just doing this for myself. I'm doing this for all people of colour & for the next generation." Ethan Bear's statement in resp
Key Insights & Takeaways
He frequently comments on NHL officiating and player performance, often highlighting controversial calls and statistical achievements. His tweets emphasize the importance of player-centric narratives in hockey discussions. He uses specific player data to support his arguments, showing a focus on analytics and performance metrics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,193
- + 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 @Bob_Stauffer reveals an well-established Twitter presence with 97,193 followers. The account demonstrates a content-creator strategy, averaging 452.3 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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