Tiffany Watson
Instagram: https://www.facebook.com/unsupportedbrowser Home account: https://www.facebook.com/unsupportedbrowser… Podcast: https://www.facebook.com/unsupportedbrowser…
90,783
Followers
277
Following
2,420
Tweets
218.2
Avg Engagement
89
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Tiffany_W13'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:2009-10-27
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:2,339
- Avg Likes per Tweet:56.6
- Avg Retweets per Tweet:161.6
- Followers Analyzed:10,998
Engagement Analysis
Based on 2,339 tweetsHer tweets receive a high number of likes, indicating strong audience approval. Retweets are also relatively common, suggesting her content is often shared and discussed.
56.6
Avg Likes/Tweet
161.6
Avg Retweets/Tweet
132,474
Total Likes
377,902
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
44
75th Percentile
73,829
Top Tweet
2.4
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
56.1%
Original
13.1%
Replies
22.3%
Retweets
8.5%
Quotes
0.0%
Threads
0.6%
With Media
42.5%
With Links
16.8%
With #Tags
65.2%
With @Mentions
55.0%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.8%
Weekday Posts
20.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,339 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 521 retweets (22% 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 2,339 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 10,998 followersHer audience likely includes individuals interested in social commentary, public figures, and entertainment news. They may be looking for personal insights and reactions to current events.
Average
Audience Quality
30.7%
Suspicion Index
38.3%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.4%
Empty Bio
31.6%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
64.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
21.1%
<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.
7,605,821
Total Potential Reach
31
Median Follower Reach
116
75th Percentile Reach
3.2%
>1K followers
0.6%
>10K followers
0.2%
>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).
44.1%
Creators
4,845 accounts
24.3%
Consumers
2,677 accounts
31.6%
Dormant
3,476 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):
22
Verified Followers
0.2% of total
2,118
Protected Accounts
19.26% of total
7 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 |
|---|---|---|---|
| @rogerhamilton | 925,284 | Entrepreneur | education, entrepreneurship, futurism |
| @THE_THEO_FORD | 472,806 | - | - |
| @MaggieHeroDog | 411,438 | Service Dog | Golf, Music, Service Dogs |
| @LadyGemmaMassey | 406,092 | Model | Glamour, British, Implants |
| @zammit_marc | 386,368 | Filmmaker | Film, Acting, Producing |
| @JacquelineRLine | 366,579 | Influencer | Fashion, Beauty, Lifestyle |
| @HarryGoaz | 234,403 | - | - |
| @IcelandFoods | 211,582 | Grocery retailer | food, products, deals |
| @GreggsOfficial | 210,234 | Food industry | Sausage rolls, bakery, food |
| @InTheWordsOf_CM | 194,935 | Content Editor | Music, Cardiff, Writing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,900
Followers With Bio
6,098
Followers Without Bio
44.55%
% With Bio
55.45%
% 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 2,339 analyzed214,365
Combined Engagement
0
Total Likes
214,365
Total Retweets
42,873
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @EmWatson: Even worse than seeing women's privacy violated on social media is reading the accompanying comments that show such a lack of empathy.
RT @JeremyClarkson: It seems the Germans spend their time practicing football rather than getting tattoos and stupid hair cuts. A lesson for England perhaps.
RT @NikkiGlaser: Just a reminder that your favorite breakfast food enjoys gentle baths. https://t.co/ygIsatnoZb
RT @rickygervais: What must've happened to you in your life to make you want to kill a beautiful animal & then lie next to it smiling? http://t.co/DyYw1T5ck2
RT @rihanna: Fuck bitches, get money!!!
Key Insights & Takeaways
She frequently uses emojis and strong language to emphasize her points. Her tweets often involve personal attacks or criticism of public figures. She leverages multiple platforms to expand her reach and influence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,783
- + 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 @Tiffany_W13 reveals an well-established Twitter presence with 90,783 followers. The account demonstrates a content-creator strategy, averaging 218.2 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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