Rosanna Pansino
New Holiday Baking Series “12 Days of Cookies” is now up on my Youtube Channel. Come enjoy some delicious recipes and warm memories this December with us! 🍪🥰
904,507
Followers
367
Following
25,352
Tweets
851.2
Avg Engagement
898
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RosannaPansino'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:2009-08-10
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:805.3
- Avg Retweets per Tweet:46.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHer tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement is likely driven by both her content and personal updates.
805.3
Avg Likes/Tweet
46.0
Avg Retweets/Tweet
2,610,634
Total Likes
149,021
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
447
Median Likes
17
Median Retweets
874
75th Percentile
114,877
Top Tweet
0.94
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
75.0%
Original
10.8%
Replies
8.3%
Retweets
6.0%
Quotes
0.0%
Threads
0.3%
With Media
82.3%
With Links
10.7%
With #Tags
37.6%
With @Mentions
69.1%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.73
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.2%
Weekday Posts
36.8%
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 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 268 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 includes fans of her YouTube content, particularly those interested in baking and holiday themes. The audience also engages with her personal updates and emotional posts.
Average
Audience Quality
26.3%
Suspicion Index
28.6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.5%
Empty Bio
33.2%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
64.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
22.7%
<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.
42,028,878
Total Potential Reach
11
Median Follower Reach
64
75th Percentile Reach
2.5%
>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).
45.4%
Creators
22,689 accounts
21.4%
Consumers
10,692 accounts
33.2%
Dormant
16,619 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):
305
Verified Followers
0.3% of total
12,738
Protected Accounts
12.61% of total
5 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 |
|---|---|---|---|
| @MrBeast | 19,537,475 | YouTuber | Philanthropy, YouTube, Charity |
| @JohnCena | 14,105,346 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KSI | 8,817,080 | Musician | Music, Rap, Collaboration |
| @lindsaylohan | 8,134,344 | Actress | Actress, Artist |
| @MatPatGT | 5,525,214 | Content Creator | - |
| @Jaclynhill | 2,114,958 | - | - |
| @BurgerKing | 2,039,703 | Fast Food | Fast Food, Flame-Grilled, Established |
| @Preston | 1,853,034 | Influencer | Jesus, Business, Handsome |
| @Antfrost | 1,429,054 | Gamer | gaming, business, LGBTQ+ |
| @WhatsTrending | 890,194 | News Outlet | DAILY, SOCIAL, NEWS |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,722
Followers With Bio
34,277
Followers Without Bio
66.06%
% With Bio
33.94%
% 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 3,242 analyzed362,556
Combined Engagement
310,804
Total Likes
51,752
Total Retweets
72,511
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
I am heartbroken. Late last night my dad passed away. He had been fighting Leukemia for 6 years and refused to let his diagnosis stop him from living life his way. I love you Dad. You taught me how to be strong, caring, and to never back down. You made me who I am today. https:
In regards to @GabbieHanna’s video. https://t.co/ljbShvjOsF
Goodbye Cookie 💔 https://t.co/YlT95r6Qzq
Please Stop...... https://t.co/f5LuUqWQoj
RT @MrBeast: Two years ago we planted 20,000,000 trees and now we want to remove 30,000,000 pounds of trash from the ocean with #TeamSeas!…
Key Insights & Takeaways
Her personal updates, such as the loss of her father, generate significant emotional engagement and retweets. She effectively blends promotional content with personal storytelling to maintain audience interest. Her Twitter activity complements her YouTube presence, reinforcing her brand and community connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 904,507
- + 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 @RosannaPansino reveals an well-established Twitter presence with 904,507 followers. The account demonstrates a content-creator strategy, averaging 851.2 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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