Toronto Marlies
2018 Calder Cup Champions | AHL Affiliate of the @MapleLeafs | #LongLive
110,145
Followers
3,782
Following
75,180
Tweets
45.2
Avg Engagement
998
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TorontoMarlies'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:2009-03-11
- Verification:Yes
- Location:Toronto, Ontario, Canada
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:38.6
- Avg Retweets per Tweet:6.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsThe account shows moderate engagement with an average of 1,922 likes and 178 retweets per tweet, indicating a dedicated but not overly active follower base.
38.6
Avg Likes/Tweet
6.6
Avg Retweets/Tweet
125,277
Total Likes
21,346
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
1
Median Retweets
39
75th Percentile
6,473
Top Tweet
0.41
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
48.0%
Original
50.7%
Replies
0.8%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
46.6%
With Links
66.3%
With #Tags
6.2%
With @Mentions
32.6%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.06
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
42.4%
Weekday Posts
57.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 26 retweets (1% 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 3,247 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 primarily consists of hockey fans, especially those interested in the Toronto Maple Leafs organization and AHL hockey.
Average
Audience Quality
27.5%
Suspicion Index
37.4%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.4%
Empty Bio
35.8%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
57.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
26.3%
<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.
4,209,085
Total Potential Reach
15
Median Follower Reach
92
75th Percentile Reach
3.9%
>1K followers
0.4%
>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).
43.3%
Creators
4,334 accounts
20.9%
Consumers
2,085 accounts
35.8%
Dormant
3,581 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):
56
Verified Followers
0.56% of total
965
Protected Accounts
9.65% 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 |
|---|---|---|---|
| @CoachsCornerDC | 865,445 | Hockey Analyst | Hockey, Tell it like it is, Icon |
| @Moreno | 430,940 | Influencer | Business, Manager, Serious |
| @TheHockeyNews | 295,967 | Sports Journalist | Hockey, Insider, Subscribe |
| @conquerer1 | 236,329 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @bigscreenleaks | 64,106 | - | - |
| @CCpxpSN | 56,864 | Bingo Caller | Bingo, Neutral, Professional |
| @BucklesandBulls | 48,505 | Judging | bbq, fishing, puppies |
| @johngibbons05 | 45,612 | - | - |
| @Wayne23801460 | 41,854 | - | - |
| @CroMarcCrawford | 40,999 | NHL Coach | Hockey, Travel, Learning |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,156
Followers With Bio
4,844
Followers Without Bio
51.56%
% With Bio
48.44%
% 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 3,247 analyzed18,882
Combined Engagement
9,062
Total Likes
9,820
Total Retweets
3,776
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @MapleLeafs: Statement from Maple Leafs President and Alternate Governor Brendan Shanahan on the passing of Börje Salming: https://t.co/zguKOyVLmM
🗣️ KEEEEITHHH That moment when you find out you’re signing your first NHL contract 🥹 Congrats, Petro 💙👏 https://t.co/gQnL86wxCw
RT @MapleLeafs: We have acquired Ryan O’Reilly & Noel Acciari in a three-team trade with St. Louis & Minnesota. STL receives Mikhail Abramov & Adam Gaudette, TOR's 1st round pick in '23, OTT's 3rd round pick in '23 & TOR's 2nd round pick in '24. MIN receives TOR
https://t.co/xW1PrQNQDX
Welcome back, Woller 🤗 https://t.co/Nk0ymAjY5p
Key Insights & Takeaways
The account focuses on celebrating player milestones and team achievements, which helps in building a loyal fan community. Content often includes links to videos and highlights, suggesting a preference for visual storytelling. Verified accounts are relatively low at 0.6%, indicating a mix of genuine fans and possibly automated or less active followers.
Strengths
- + Established follower base of 110,145
- + 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 @TorontoMarlies reveals an growing Twitter presence with 110,145 followers. The account demonstrates a conversation-first approach, averaging 45.2 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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