tabatha coffey
Author, Television Host, speaker, Hairdresser and a Brave.Intelligent.Tenacious.Creative.Honest woman teaching others to be the same. Welcome to BITCH camp!
162.368
Followers
1.163
Following
49.151
Tweets
331,2
Avg Engagement
1.327
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tabathacoffey'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:2009-02-13
- Verification:No
- Location:New Jersey, USA
Data Summary
- Tweets Analyzed:3.188
- Avg Likes per Tweet:17,1
- Avg Retweets per Tweet:314,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.188 tweetsHer tweets typically receive a high level of engagement, with an average of 719 likes and 133 retweets, indicating a strong and active community. Her content resonates well with her followers, encouraging interaction and discussion.
17,1
Avg Likes/Tweet
314,1
Avg Retweets/Tweet
54.668
Total Likes
1.001.323
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
24
75th Percentile
86.383
Top Tweet
2,04
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
49,6%
Original
41,6%
Replies
8,2%
Retweets
0,6%
Quotes
0,0%
Threads
3,4%
With Media
41,8%
With Links
15,6%
With #Tags
65,2%
With @Mentions
3,5%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,84
Reply/Original Ratio
0,07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83,5%
Weekday Posts
16,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.188 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 262 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 3.188 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 is primarily interested in personal development, social justice, and lifestyle topics. They are drawn to her authenticity and the mix of professional and personal storytelling.
Average
Audience Quality
21,0%
Suspicion Index
29,2%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46,5%
Empty Bio
20,5%
<10 Tweets
7,9%
Mass Following (>2K)
0,0%
New (<90 days)
43,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
81,2%
No URL
11,8%
<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.
108.706.751
Total Potential Reach
38
Median Follower Reach
133
75th Percentile Reach
4,3%
>1K followers
0,9%
>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).
53,7%
Creators
26.829 accounts
25,9%
Consumers
12.938 accounts
20,5%
Dormant
10.233 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):
244
Verified Followers
0.24% of total
15.924
Protected Accounts
15.77% of total
11 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 | 14.100.794 | Wrestler | Wrestling, Motivation, Self-promotion |
| @enews | 11.890.701 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @GordonRamsay | 7.696.320 | Chef | Cooking, Food, Restaurants |
| @FoodNetwork | 6.041.019 | Culinary TV | cooking, baking, streaming |
| @Entrepreneur | 3.627.464 | Entrepreneurship | Inspiring, informing, celebrating |
| @KellyOsbourne | 3.298.065 | Podcaster | Podcast, Entertainment, Comedy |
| @Variety | 2.911.861 | Entertainment industry | Entertainment, Business, Variety |
| @Nigella_Lawson | 2.756.795 | Chef | cooking, updates, contact |
| @drdrew | 2.646.140 | Medical Professional | Medicine, Addiction, TV |
| @billyeichner | 2.291.058 | Comedian | comedy, acting, television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53.749
Followers With Bio
47.244
Followers Without Bio
53.22%
% With Bio
46.78%
% 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 3.188 analyzed290.617
Combined Engagement
0
Total Likes
290.617
Total Retweets
58.123
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @donwinslow: NEW: #AmericaNeedsPennsylvania w/ Bruce @springsteen ! Donald Trump arrives in Pennsylvania later today. We need more t…
RT @KamalaHarris: RT if you agree: Americans deserve a transparent, independent investigation into Russia’s involvement with the Trump camp.
RT @StephenKing: Come on, chickenshit, if you're man enough to drop a mega-bomb on Afghanistan, you should be man enough to release your ta…
RT @donwinslow: NEW VIDEO! #PleaseSaveTheseChildren If you don't have a bright line for crimes against children you don't have a line.…
RT @Snowden: This FBI Director has sought for years to jail me on account of my political activities. If I can oppose his firing, so can yo…
Key Insights & Takeaways
She frequently engages with political and social issues, often using her platform to highlight underrepresented voices. Her content is a mix of personal reflection and public commentary, which helps build a loyal and interactive audience. She leverages her professional background to provide unique perspectives on topics like service industry workers and social equity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 162.368
- + 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 @tabathacoffey reveals an well-established Twitter presence with 162.368 followers. The account demonstrates a content-creator strategy, averaging 331,2 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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