IVORY ELLA
We exist to make a change, not a profit. Make your fashion stand for something. Save the elephants🐘
322,125
Followers
466
Following
12,311
Tweets
693.1
Avg Engagement
212
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @shopivoryella'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:2015-04-08
- Verification:No
- Location:New York, New York
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:11.0
- Avg Retweets per Tweet:682.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,188 tweetsThe account maintains a steady engagement rate with an average of 394 likes and 87 retweets per tweet. Their content is highly shareable, especially through visually striking images and emotional narratives.
11.0
Avg Likes/Tweet
682.2
Avg Retweets/Tweet
34,981
Total Likes
2,174,770
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
64
75th Percentile
79,316
Top Tweet
2.15
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
65.4%
Original
1.0%
Replies
32.8%
Retweets
0.8%
Quotes
0.0%
Threads
1.6%
With Media
83.2%
With Links
35.8%
With #Tags
46.3%
With @Mentions
62.3%
With Emojis
171
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.7%
Weekday Posts
19.3%
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 1,046 retweets (33% 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 followersThe audience is likely environmentally conscious individuals and fashion enthusiasts who value ethical practices. They are active on social media and enjoy interactive content like giveaways and relatable storytelling.
Average
Audience Quality
21.5%
Suspicion Index
33.6%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.2%
Empty Bio
30.1%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
36.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
21.0%
<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.
36,448,544
Total Potential Reach
34
Median Follower Reach
153
75th Percentile Reach
2.9%
>1K followers
0.3%
>10K followers
0.1%
>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).
51.1%
Creators
25,551 accounts
18.8%
Consumers
9,386 accounts
30.1%
Dormant
15,063 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):
177
Verified Followers
0.18% of total
20,665
Protected Accounts
20.46% of total
8 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 | 14,103,432 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WORLDSTAR | 5,668,815 | Entertainment | hiphop, distribution, independent |
| @6BillionPeople | 2,035,649 | - | - |
| @KameronBennett | 1,812,747 | DJ | Music, DJing, Booking |
| @TTLYTEALA | 1,710,589 | Actress | Actress, Youtuber, Love |
| @BrotherNature | 1,705,132 | Animal Lover | Animals, Nature, Food |
| @itsmovies | 1,697,259 | Movie Blogger | Movies, TV shows, Posts |
| @CybersmileHQ | 1,157,089 | Nonprofit | kindness, equality, inclusion |
| @MikeyWax | 857,601 | Musician | music, singer-songwriter, new single |
| @nonprofitorgs | 774,246 | Nonprofit Advocate | Nonprofits, Digital Marketing, Fundraising |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,348
Followers With Bio
42,650
Followers Without Bio
57.77%
% With Bio
42.23%
% 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 3,188 analyzed346,416
Combined Engagement
0
Total Likes
346,416
Total Retweets
69,283
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @dog_rates: This is Luna. In her defense, that is her bed. 14/10 she did nothing wrong https://t.co/09C4znnauJ
RT @artindetails: colors of the sky. https://t.co/Nqvi0PF6XR
RT @buitengebieden: Puppy thinks he’s a bunny.. 😅 https://t.co/7sIs2zGfWq
RT @DontShowYourCat: creepy neighbor https://t.co/zWX8K3GhJS
RT @PAVGOD: two types of pups https://t.co/xplIHZnEOQ
Key Insights & Takeaways
The account uses giveaways to boost engagement and visibility. They focus on emotional storytelling to connect with their audience. Visual content, such as images of elephants, plays a key role in their strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 322,125
- + 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 @shopivoryella reveals an well-established Twitter presence with 322,125 followers. The account demonstrates a content-creator strategy, averaging 693.1 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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