Morgan Cameron Ross
Writer & Man about town. Sometimes the guy on your tv. "Robin Moss" on Murdoch Mysteries.
14,090
Followers
1,125
Following
47,277
Tweets
284.0
Avg Engagement
126
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Morgan_C_Ross'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:2009-03-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:81.9
- Avg Retweets per Tweet:202.1
- Followers Analyzed:10,955
Engagement Analysis
Based on 500 tweetsHis tweets typically receive around 331 likes and 60 retweets on average, indicating a moderate level of engagement. The use of links and relatable content likely contributes to this interaction.
81.9
Avg Likes/Tweet
202.1
Avg Retweets/Tweet
40,944
Total Likes
101,049
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
46
75th Percentile
33,175
Top Tweet
20.16
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
9.8%
Original
79.6%
Replies
8.8%
Retweets
1.8%
Quotes
0.0%
Threads
2.4%
With Media
37.6%
With Links
0.6%
With #Tags
87.4%
With @Mentions
5.4%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.12
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
59.8%
Weekday Posts
40.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 44 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 500 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 10,955 followersHis audience includes fans of Murdoch Mysteries, general entertainment seekers, and those interested in pop culture and humor. The content appeals to a broad demographic, especially Canadians and those who enjoy nostalgic references.
Good
Audience Quality
17.3%
Suspicion Index
17.6%
Low-Quality %
164
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.9%
Empty Bio
8.6%
<10 Tweets
23.3%
Mass Following (>2K)
0.0%
New (<90 days)
29.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.0%
No URL
5.3%
<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.
226,444,573
Total Potential Reach
164
Median Follower Reach
594
75th Percentile Reach
17.5%
>1K followers
2.7%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
80.0%
Creators
8,764 accounts
11.4%
Consumers
1,247 accounts
8.6%
Dormant
944 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):
292
Verified Followers
2.67% of total
1,124
Protected Accounts
10.26% of total
10 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 |
|---|---|---|---|
| @BarackObama | 132,923,277 | Politician | Family, Leadership, Citizenship |
| @britneyspears | 55,803,473 | Singer | Music, Dance, Fashion |
| @LIFE | 4,013,483 | Archivist | Photography, History, Stories |
| @Greenpeace | 1,896,174 | Environmental Activist | environment, activism, change |
| @TheRickWilson | 1,599,167 | Political Consultant | Politics, Advertising, Writing |
| @EdKrassen | 882,019 | Journalist | Politics, Journalism, Author |
| @Much | 876,439 | Entertainment | Music, Culture, Entertainment |
| @atrupar | 871,086 | Journalist | journalism, politics, news |
| @strombo | 843,599 | Broadcaster | Music, Motorcycles, Pho |
| @ZachBoychuk | 830,534 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,678
Followers With Bio
3,277
Followers Without Bio
70.09%
% With Bio
29.91%
% 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 500 analyzed88,881
Combined Engagement
14,865
Total Likes
74,016
Total Retweets
17,776
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @propublica: For decades, Justice Clarence Thomas has secretly accepted luxury trips from a major Republican donor, newly obtained docum…
RT @EdKrassen: BREAKING: Republican Donor Harlan Crow has been giving millions of dollars to Supreme Court Justice Clarence Thomas and his…
@blumspew @patriottakes In a pink shirt
RT @GavinNewsom: Here are the facts about @GOP led states they DON’T want you to know: - 8 of the top 10 murder states are red - 7 of the t…
RT @culturaltutor: Why don't we make interesting drain pipes any more? https://t.co/EeW94rjdNV
Key Insights & Takeaways
He leverages nostalgia and humor to connect with his audience. His content often includes references to popular culture and media. He maintains a balance between personal and public persona, enhancing relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,090
- + 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 @Morgan_C_Ross reveals an well-established Twitter presence with 14,090 followers. The account demonstrates a conversation-first approach, averaging 284.0 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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