Tiffany Stevenson
Your girlfriend’s fave comedian/actor/step mum @kuruptfm GameFace @hellobuglers @mocktheweek @lolnetwork Avenue 5 @hbo Work @pbjmanagement @3artsent
53,834
Followers
3,271
Following
56,451
Tweets
256.7
Avg Engagement
422
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tiffstevenson'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:2009-09-04
- Verification:No
- Location:LALON - Los Angeles & London
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:38.1
- Avg Retweets per Tweet:218.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsTheir tweets receive a high average number of likes and retweets, indicating a strong level of audience interaction. The content often sparks debate and discussion, especially on issues like media normalization and corporate behavior.
38.1
Avg Likes/Tweet
218.6
Avg Retweets/Tweet
123,199
Total Likes
706,040
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
29
75th Percentile
81,112
Top Tweet
4.77
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
27.6%
Original
27.1%
Replies
26.3%
Retweets
18.9%
Quotes
0.0%
Threads
0.3%
With Media
49.4%
With Links
8.0%
With #Tags
59.7%
With @Mentions
22.8%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.98
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 851 retweets (26% 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 3,230 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 10,000 followersTiffstevenson's audience likely includes fans of comedy and entertainment, as well as individuals interested in social and political commentary. Their followers may be engaged in discussions about media influence and corporate responsibility.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
118
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.0%
No URL
100.0%
<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.
28,984,663
Total Potential Reach
118
Median Follower Reach
437
75th Percentile Reach
13.8%
>1K followers
1.9%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
980
Protected Accounts
9.8% 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 |
|---|---|---|---|
| @JohnCena | 14,091,827 | Wrestler | Wrestling, Motivation, Self-promotion |
| @scott_mills | 1,253,459 | Radio Host | Entertainment, Music, Radio |
| @NOH8Campaign | 799,364 | Activism | equality, bullying, discrimination |
| @IamMzilikazi | 555,102 | Musician | Pan-African music, Album, Rise |
| @Chris_Stark | 426,896 | - | - |
| @robtswthrayguns | 256,389 | Inventor | synthwave, NFT, NSFW |
| @ColinMurray | 216,811 | Presenter | TV, Radio, Writing |
| @ronaldrios | 209,513 | - | - |
| @InTheWordsOf_CM | 194,119 | Content Editor | Music, Cardiff, Writing |
| @MrNigelNg | 193,543 | Comedian | Comedy, Food, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,776
Followers With Bio
3,224
Followers Without Bio
67.76%
% With Bio
32.24%
% 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 3,230 analyzed296,376
Combined Engagement
53,554
Total Likes
242,822
Total Retweets
59,275
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
0%
With Links
Topical Analysis:
RT @dremilyportermd: I had a guy friend with a Ph.D in engineering ask me last week how women pee with a tampon in and this is why men shouldn’t be passing laws about women’s bodies.
RT @itsmariannnna: it’s always “you up?” and never “you are the bane of my existence and the object of all my desires”
Watched Jamie Oliver on the One Show demonstrating how to cook using minimal stove heat for less than 3 mins. Media can you STOP normalising this. It’s not normal. In one the richest nations in the world. It’s not gas cooking, it’s gas lighting. We need to take to the streets 🤷🏼
RT @mhauken: Your iPhone is about to receive a new update on Monday. And it's going to transform how you experience your phone forever. Here are 9 new features that will change everything:
RT @emmabo: i just need people to understand that before cell phones we had to call landlines and your friend's parents would answer and YOU HAD TO TALK TO THEIR PARENTS until your friend came to the phone
Key Insights & Takeaways
Tiffstevenson frequently calls out media for normalizing harmful behaviors, such as cooking with minimal stove heat. They highlight the disparity between corporate profits and public suffering, especially in the context of energy companies. Their tweets often emphasize the need for accountability and awareness around media and corporate influence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,834
- + 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 @tiffstevenson reveals an well-established Twitter presence with 53,834 followers. The account demonstrates a content-creator strategy, averaging 256.7 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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