Nina Ivy Miller
BUSINESS MOGUL 💵 , BEAUTICIAN ,: @bloomyessence
186,828
Followers
24
Following
1,933
Tweets
813.9
Avg Engagement
55
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ninaivy_'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:2018-04-27
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:1,861
- Avg Likes per Tweet:676.0
- Avg Retweets per Tweet:137.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,861 tweetsHer tweets consistently receive high engagement, indicating a loyal and active follower base. The average likes and retweets suggest her content resonates well with her audience.
676.0
Avg Likes/Tweet
137.9
Avg Retweets/Tweet
1,258,008
Total Likes
256,687
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
157
Median Likes
13
Median Retweets
920
75th Percentile
52,848
Top Tweet
4.36
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
45.0%
Original
40.4%
Replies
9.0%
Retweets
5.6%
Quotes
0.0%
Threads
0.7%
With Media
41.0%
With Links
9.3%
With #Tags
55.5%
With @Mentions
48.5%
With Emojis
74
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.9
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.4%
Weekday Posts
29.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,861 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 168 retweets (9% 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 1,861 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 appears to be interested in business, beauty, and entertainment, with a focus on trending topics and celebrity culture. They are likely engaged with her brand and active in discussions around her endorsed figures.
Average
Audience Quality
27.2%
Suspicion Index
26.5%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.7%
Empty Bio
40.5%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
23.2%
<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.
9,437,874
Total Potential Reach
20
Median Follower Reach
80
75th Percentile Reach
2.5%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
28.1%
Creators
14,068 accounts
31.4%
Consumers
15,689 accounts
40.5%
Dormant
20,243 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):
32
Verified Followers
0.03% of total
3,661
Protected Accounts
3.66% 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 |
|---|---|---|---|
| @nengiofficial | 923,007 | Entrepreneur | Fashion, Entrepreneurship, Brand Ambassador |
| @JulianMarley | 272,383 | Musician | Reggae, Music, Family |
| @AnthoniaOrji | 258,478 | - | - |
| @Jamani_Khanyi | 252,764 | Student | Education, Unity, Love |
| @Tochi_Oke | 252,613 | Real Estate | Real estate, influencer, actor |
| @conquerer1 | 237,300 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @kaishaofficial_ | 213,563 | Influencer | Luxury, Brand Influencer, Creator |
| @theangeljbsmith | 145,899 | - | - |
| @terryflewers | 106,773 | Host | Football, Host, Media |
| @waltermzembi | 92,889 | Politician | Travel, Tourism, Diplomacy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
72,799
Followers With Bio
27,201
Followers Without Bio
72.8%
% With Bio
27.2%
% 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 1,861 analyzed143,999
Combined Engagement
40,732
Total Likes
103,267
Total Retweets
28,800
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @rihanna: new year’s resolution: apply the pressure https://t.co/oK37YUN7EO
I am officially team Laycon .. Icons where y’all at
RT @CNNAfrica: Nigerian police use teargas at protest demanding an end to police brutality in the country https://t.co/7zW3dwX7uX https://t…
RT @wizkidayo: Disheartening to watch these videos from my home! You’re fighting the wrong war , fighting the wrong people. How do we walk…
Laycon for maintaining your cool this night , I will send money to the icons to punish you with votes
Key Insights & Takeaways
She is heavily invested in supporting Laycon and promoting their image. Her content often includes personal endorsements and financial commitments. She uses her platform to highlight her business ventures and brand partnerships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 186,828
- + 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 @Ninaivy_ reveals an well-established Twitter presence with 186,828 followers. The account demonstrates a content-creator strategy, averaging 813.9 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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