Jason Gregor
Hosts the Jason Gregor Show on @sports1440, co-host of the @dailyfaceoff podcast, writes for The Nation Network and a @thePHWA member.
89,151
Followers
922
Following
114,657
Tweets
64.1
Avg Engagement
948
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JasonGregor'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:2009-04-06
- Verification:No
- Location:Edmonton, AB
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:58.6
- Avg Retweets per Tweet:5.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is relatable and often includes humor, which boosts engagement.
58.6
Avg Likes/Tweet
5.5
Avg Retweets/Tweet
190,279
Total Likes
18,006
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
50
75th Percentile
3,094
Top Tweet
0.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
29.0%
Original
55.6%
Replies
5.5%
Retweets
9.8%
Quotes
0.0%
Threads
0.1%
With Media
23.1%
With Links
5.5%
With #Tags
66.5%
With @Mentions
2.1%
With Emojis
151
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.92
Reply/Original Ratio
1.78
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
87.8%
Weekday Posts
12.2%
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 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 180 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 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 followersHis audience includes sports fans and listeners of his radio show, as well as followers of his podcast and writing. The audience is likely interested in both sports and personal stories.
Average
Audience Quality
27.8%
Suspicion Index
39.1%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.4%
Empty Bio
34.3%
<10 Tweets
11.8%
Mass Following (>2K)
0.0%
New (<90 days)
51.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
24.9%
<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.
19,726,531
Total Potential Reach
22
Median Follower Reach
130
75th Percentile Reach
5.2%
>1K followers
0.7%
>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).
43.5%
Creators
4,352 accounts
22.1%
Consumers
2,215 accounts
34.3%
Dormant
3,433 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):
94
Verified Followers
0.94% of total
678
Protected Accounts
6.78% 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 | 14,097,865 | Wrestler | Wrestling, Motivation, Self-promotion |
| @zammit_marc | 386,331 | Filmmaker | Film, Acting, Producing |
| @evanderkane | 244,628 | Hockey Player | Hockey, Family, Fashion |
| @WBrettWilson | 237,144 | Entrepreneur | Entrepreneur, Philanthropy, Speaker |
| @Schultz_Report | 200,976 | Sports Analyst | Sports, Analysis, Podcasts |
| @brittlestar | 158,926 | Content Creator | Family, Comedy, Canada |
| @frankiemacd | 150,919 | Weatherman | Weather Reports, YouTube Videos, Dancing |
| @DP_57 | 133,790 | Hockey Player | Golf, Fishing, Outdoors |
| @travisa850 | 129,911 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @KellyHrudey | 119,206 | Hockey Analyst | Hockey, Analyst, NHL |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,663
Followers With Bio
5,337
Followers Without Bio
46.63%
% With Bio
53.37%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed11,455
Combined Engagement
8,009
Total Likes
3,446
Total Retweets
2,291
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @frank_seravalli: Breaking: It's Showtime. Sources tell @DailyFaceoff: #NYR expected to acquire Patrick Kane for 2023 2nd Rd Pick (can become a 1st) and a 4th Rd Pick. #NYR and #Blackhawks plan to conduct 3-team trade call tonight. Possible Kane makes #NYR debut Wed in Phila
Ekholm and his wife have a boy who turns five in March, a two-year-old daughter and are expecting their third child in July. They will stay in Edmonton all summer. Also he said his his family is very excited to have winter. His wife loves the snow.
Brett Kulak was outstanding on blueline tonight for Edmonton. Really strong game.
Very relatable...🤣🤣🤣 https://t.co/6G9b6EBxyN
Bruins were 30-0-3 when scoring first. They were 28-0-1 when leading after 1st. They were 35-0-2 when leading after 2nd. Oilers score twice in third and win 3-2 in regulation. Bouchard 1st goal in 44 games. McLeod 1st in 13. Nurse 1st in 29. Huge win for Edmonton.
Key Insights & Takeaways
He blends personal life updates with sports commentary, creating a relatable and engaging content mix. His tweets often include humor and light-hearted moments, which resonate well with his audience. He maintains a balance between professional sports coverage and personal anecdotes, enhancing his connection with followers.
Strengths
- + Established follower base of 89,151
- + 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 @JasonGregor reveals an growing Twitter presence with 89,151 followers. The account demonstrates a conversation-first approach, averaging 64.1 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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