Nicole Martin
Host @TrendingNowCHCH @CHCHNews | https://chch.com/
10,400
Followers
1,028
Following
6,680
Tweets
36.1
Avg Engagement
69
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nicolemartintv'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:2012-03-27
- Verification:No
- Location:From Hamilton Ontario
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:30.6
- Avg Retweets per Tweet:5.5
- Followers Analyzed:10,456
Engagement Analysis
Based on 500 tweetsHer tweets typically receive a moderate number of likes and retweets, indicating a consistent but not overwhelming level of audience interaction.
30.6
Avg Likes/Tweet
5.5
Avg Retweets/Tweet
15,290
Total Likes
2,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
27
75th Percentile
2,435
Top Tweet
3.47
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
30.6%
Original
45.0%
Replies
3.0%
Retweets
21.4%
Quotes
0.0%
Threads
0.0%
With Media
47.6%
With Links
47.4%
With #Tags
92.4%
With @Mentions
16.0%
With Emojis
188
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.47
Reply/Original Ratio
7.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.4%
Weekday Posts
9.6%
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 15 retweets (3% 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 10,456 followersHer audience appears to be interested in current events, social issues, and personal stories. They engage with her content through likes and retweets.
Average
Audience Quality
20.6%
Suspicion Index
27.0%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
18.0%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
37.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.8%
No URL
11.4%
<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.
15,989,307
Total Potential Reach
61
Median Follower Reach
334
75th Percentile Reach
12.3%
>1K followers
1.7%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.5%
Creators
6,639 accounts
18.6%
Consumers
1,940 accounts
18.0%
Dormant
1,877 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):
217
Verified Followers
2.08% of total
1,303
Protected Accounts
12.46% of total
9 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 |
|---|---|---|---|
| @SiriouslySusan | 1,778,373 | Voice Actor | Voice acting, singing, speaking |
| @MurrayNewlands | 1,520,902 | Contributor | pop art, art, entrepreneurship |
| @AndrewMayne | 746,648 | Author | Novelist, Shark Week, Science |
| @peoplesearches | 321,977 | Investigator | MissingPersons, LawEnforcement, Trafficking |
| @PeelPolice | 269,125 | Law Enforcement | Law enforcement, community safety, emergency services |
| @OPP_News | 265,774 | Law Enforcement | Law enforcement, safety, community engagement |
| @KimMangone | 252,481 | Engineer | Single Mom, USAF Vet, Engineer |
| @bsarwary | 247,870 | Journalist | Afghans, Journalism, Middlebury |
| @davelackie | 175,700 | Beauty Editor | Beauty, Editor, Expert |
| @brittlestar | 158,441 | Content Creator | Family, Comedy, Canada |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,008
Followers With Bio
4,448
Followers Without Bio
57.46%
% With Bio
42.54%
% 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 analyzed5,838
Combined Engagement
5,075
Total Likes
763
Total Retweets
1,168
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Truly sad to see seniors wait in line for hours in the cold for a #COVID19 booster dose in Freelton #HamOnt this morning. Others in wheel chairs in the snow. My sister arrived at 7:30am and this was the line. The GOVAXX bus opened at 9am. @CHCHNews @fordnation @cityofhamilton htt
Introducing Mia Lily Martin-Di Matteo 💕 Born January 12th https://t.co/NW0mjF3duX
BREAKING Personal News: A new adventure is about to begin January 2023 ❤️ Check out the link for some of the special moments so far 🥺🥰 https://t.co/Yb8CWMeHIZ https://t.co/H0RkZeKNNH
Some news to tell you about @CHCHNews: This was my last weekend newscast! I’ll be back this fall Mon-Fri with a new show on @CHCHTV. The details will be announced in the weeks to come. Thank you for your trust and viewership and thank you to the amazing Weekend Crew ❤️ #HamOnt ht
Officially on maternity leave while we wait for our baby girl (due any day now). I’ll be over here bouncing on my exercise ball and watching @TrendingNowCHCH @CHCHNews from home haha! https://t.co/hElmXzO6c1
Key Insights & Takeaways
She often shares personal updates and milestones, which helps build a connection with her followers. She highlights social issues, such as the challenges faced by seniors during the pandemic, which resonates with her audience. Her content includes a mix of news, personal stories, and promotional links, indicating a balanced approach to engagement.
Strengths
- + Established follower base of 10,400
- + 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 @nicolemartintv reveals an growing Twitter presence with 10,400 followers. The account demonstrates a conversation-first approach, averaging 36.1 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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