Marc Savard
🇨🇦Husband,Father of 4 |Assistant Coach Calgary Flames 🔥 | 2011 Stanley Cup Champion |
62,526
Followers
77
Following
2,713
Tweets
235.4
Avg Engagement
629
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MSavvy91'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:2011-08-07
- Verification:No
- Location:Peterborough, Ontario
Data Summary
- Tweets Analyzed:2,677
- Avg Likes per Tweet:123.6
- Avg Retweets per Tweet:111.7
- Followers Analyzed:9,998
Engagement Analysis
Based on 2,677 tweetsMSavvy91's tweets receive a high number of likes and retweets, indicating strong audience interaction. His personal and nostalgic posts resonate well with followers.
123.6
Avg Likes/Tweet
111.7
Avg Retweets/Tweet
330,968
Total Likes
299,115
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
83
75th Percentile
107,754
Top Tweet
3.76
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
55.4%
Original
34.5%
Replies
8.7%
Retweets
1.4%
Quotes
0.0%
Threads
0.3%
With Media
31.3%
With Links
23.5%
With #Tags
74.2%
With @Mentions
11.7%
With Emojis
100
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.62
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.5%
Weekday Posts
21.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,677 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 232 retweets (9% 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 2,677 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 9,998 followersHis audience includes hockey fans, parents, and individuals interested in personal stories and sports nostalgia. The content appeals to those who appreciate authenticity and emotional connections.
Average
Audience Quality
21.0%
Suspicion Index
26.6%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.1%
Empty Bio
16.0%
<10 Tweets
12.2%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
10.1%
<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.
9,135,113
Total Potential Reach
61
Median Follower Reach
197
75th Percentile Reach
5.7%
>1K followers
0.9%
>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).
66.5%
Creators
6,648 accounts
17.5%
Consumers
1,748 accounts
16.0%
Dormant
1,602 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):
67
Verified Followers
0.67% of total
1,187
Protected Accounts
11.87% of total
8 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 | 863,524 | Hockey Analyst | Hockey, Tell it like it is, Icon |
| @ZachBoychuk | 825,653 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @StLouisBlues | 814,264 | Sports Team | Hockey, Champions, St. Louis |
| @PlayersTribune | 641,416 | Sports Media | Sports, Olympics, Athletes |
| @FeitsBarstool | 324,200 | Blogger | Sports, Podcasting, Comedy |
| @KevinWeekes | 286,913 | Broadcaster | Hockey, Broadcasting, Apparel |
| @gerrydee | 228,639 | Comedian | Comedy, Teaching, Hosting |
| @MrsAllieRae | 153,224 | - | - |
| @PeteBlackburn | 136,907 | Sports Writer | Sports, Chaos, Humor |
| @DP_57 | 133,371 | Hockey Player | Golf, Fishing, Outdoors |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,692
Followers With Bio
4,308
Followers Without Bio
56.92%
% With Bio
43.08%
% 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 2,677 analyzed198,375
Combined Engagement
26,239
Total Likes
172,136
Total Retweets
39,675
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @silv24: This is the face of someone who just spent 9 hours in personal protective equipment moving critically ill Covid19 patients around London. I feel broken - and we are only at the start. I am begging people, please please do social distancing and self isolation #covid19
RT @PKessel81: Just sitting around the house tonight w my dog. Felt like I should be doing something important, but couldn't put my finger on it.
https://t.co/B4InQ3dEKq
I miss playing hockey in the greatest league in the world the @NHL .. I miss the best fans in the game @NHLBruins Sorry I’m just having a night!!!😢
Today I’m like a proud dad! I got you when were just a pup! I enjoyed every minute of every day with you on and off the ice, best of all you always had my back! I’m so proud of @27MilanLucic as you step on the ice tonight for your 1000th game! 🥲Congrats Love you bro @NHLBruins ht
Key Insights & Takeaways
He frequently shares personal milestones and emotional moments, which foster a sense of connection with his audience. His nostalgia for hockey and the NHL highlights a deep passion for the sport. He effectively blends personal life with professional achievements, creating a relatable and engaging narrative.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 62,526
- + 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 @MSavvy91 reveals an well-established Twitter presence with 62,526 followers. The account demonstrates a content-creator strategy, averaging 235.4 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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