Renee Paquette
Proud supporter of the Canadian Tuxedo. @aew @bengals
1,232,044
Followers
1,730
Following
18,439
Tweets
529.5
Avg Engagement
2,370
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ReneePaquette'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: Mega Influencer (1M+)
- Account Age:2009-09-01
- Verification:No
- Location:OH and TO
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:432.1
- Avg Retweets per Tweet:97.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHer tweets receive an average of 13,000 likes and 750 retweets, indicating strong audience interaction. She frequently engages with her followers by asking for opinions and sharing personal favorites.
432.1
Avg Likes/Tweet
97.3
Avg Retweets/Tweet
1,400,957
Total Likes
315,533
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
91
Median Likes
4
Median Retweets
356
75th Percentile
113,402
Top Tweet
0.43
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
25.1%
Original
53.0%
Replies
8.0%
Retweets
13.9%
Quotes
0.0%
Threads
0.8%
With Media
32.8%
With Links
4.5%
With #Tags
71.4%
With @Mentions
27.6%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.11
Reply/Original Ratio
1.74
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 258 retweets (8% 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 3,242 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 50,000 followersHer audience likely includes wrestling fans, sports enthusiasts, and individuals interested in podcasting and entertainment. They engage with her content through likes, retweets, and discussions about her favorite wrestlers and podcasts.
Average
Audience Quality
31.9%
Suspicion Index
39.2%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
39.8%
<10 Tweets
9.8%
Mass Following (>2K)
0.0%
New (<90 days)
69.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
26.6%
<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.
21,871,788
Total Potential Reach
19
Median Follower Reach
73
75th Percentile Reach
2.4%
>1K followers
0.3%
>10K followers
0.1%
>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).
34.9%
Creators
17,425 accounts
25.4%
Consumers
12,698 accounts
39.8%
Dormant
19,877 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):
638
Verified Followers
0.64% of total
9,641
Protected Accounts
9.64% of total
3 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 |
|---|---|---|---|
| @PGATOUR | 2,881,271 | Golf Organization | Golf, Champions Tour, Betting |
| @ErinAndrews | 2,637,403 | Sports Reporter | Tubi, Wearbyea, Calm Down Podcast |
| @Bengals | 1,479,447 | Sports Team | Football, Cincinnati, WHO DEY |
| @brandi_love | 1,088,918 | Pornstar | Conservative, Pornstar, Writing |
| @MilesSTEREOS | 861,825 | Musician | Guitarist, Writer, Producer |
| @laura_woodsy | 724,555 | Sports Broadcaster | Sports, TV, Radio |
| @Sting | 675,768 | Wrestler | Wrestling, Author, Entertainment |
| @IMPACTWRESTLING | 641,290 | - | - |
| @JohnnyGargano | 473,617 | Wrestler | Pro Wrestling, Cleveland, Outwork |
| @AEWonTV | 471,581 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,421
Followers With Bio
45,579
Followers Without Bio
54.42%
% With Bio
45.58%
% 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 3,242 analyzed215,248
Combined Engagement
64,004
Total Likes
151,244
Total Retweets
43,050
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @ndelriego: This thread will be dedicated to the victims of the mass shooting in Uvalde, Texas. As a parent, my heart is broken seeing…
RT @espn: The greatest to ever do it. Thank you, @serenawilliams ❤️ https://t.co/lZ6OezBoGu
https://t.co/WyNoQNfUFv
I know I’m biased. But no one is better than @JonMoxley ❤️
Hi 👋🏼 missed you guys 😘 LFG!!! 👊🏼 https://t.co/IpyjZnHAbq
Key Insights & Takeaways
She has a strong personal connection to wrestling and sports culture. Her content often reflects her subjective preferences and opinions. She uses her platform to engage with fans and promote her podcast.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,232,044
- + 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 @ReneePaquette reveals an well-established Twitter presence with 1,232,044 followers. The account demonstrates a conversation-first approach, averaging 529.5 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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