Influenster
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215,379
Followers
1,204
Following
42,380
Tweets
38.4
Avg Engagement
734
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Influenster'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:2009-07-25
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:35.5
- Avg Retweets per Tweet:2.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a moderate engagement rate with an average of 249 likes and 116 retweets per tweet. The use of emojis and symbols increases interactivity and visibility.
35.5
Avg Likes/Tweet
2.8
Avg Retweets/Tweet
115,521
Total Likes
9,258
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
32
Median Likes
1
Median Retweets
67
75th Percentile
706
Top Tweet
0.18
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
50.1%
Original
49.9%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.8%
With Media
52.3%
With Links
21.8%
With #Tags
67.6%
With @Mentions
73.2%
With Emojis
163
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
1.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.6%
Weekday Posts
14.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 retweets (0% 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 3,250 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 interested in social media, influencer culture, and app promotions. They are active on Twitter and engaged with retweets and likes.
Average
Audience Quality
21.1%
Suspicion Index
25.5%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.9%
Empty Bio
24.4%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
43.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.1%
No URL
15.1%
<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.
58,005,153
Total Potential Reach
29
Median Follower Reach
155
75th Percentile Reach
5.1%
>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).
52.6%
Creators
26,325 accounts
23.0%
Consumers
11,489 accounts
24.4%
Dormant
12,186 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):
274
Verified Followers
0.27% of total
12,612
Protected Accounts
12.49% 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 |
|---|---|---|---|
| @ParisHilton | 16,817,479 | Entrepreneur | business, updates, media |
| @rclbeauty101 | 3,249,860 | YouTuber | beauty, youtuber, video |
| @6BillionPeople | 2,034,182 | - | - |
| @KameronBennett | 1,816,883 | DJ | Music, DJing, Booking |
| @MegsDeAngelis | 1,783,846 | Influencer | music, fans, socializing |
| @trevimoran | 1,573,748 | Singer | pop music, entertainment, social media |
| @soledadobrien | 1,317,792 | Journalist | working, mom, journalist |
| @allisimpson | 1,191,942 | Entertainer | Host, Singer, Model |
| @MahoganyLOX | 1,162,751 | DJ & Singer | DJ, Singer, Queen |
| @CybersmileHQ | 1,156,352 | Nonprofit | kindness, equality, inclusion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,827
Followers With Bio
37,168
Followers Without Bio
63.2%
% With Bio
36.8%
% 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 3,250 analyzed2,218
Combined Engagement
1,368
Total Likes
850
Total Retweets
444
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
'.✦'.`✦'.`✦'.`✦'.✦'.`✦'.✦'. ✦. RT for VoxBox luck .✦.` '.✦'.`✦'.`✦'.`✦'.✦'.`✦'.✦'.
RT for extra VoxBox luck today! 🍀
'.✦'.`✦'.`✦'.`✦'.✦'.`✦'.✦'.`✦'.✦.' ✦. RT for Skincare VoxBox .✦. `✦ LIKE for Makeup VoxBox. ✦` '.✦'.`✦'.`✦'.`✦'.✦'.`✦'.✦'.`✦'.`✦
VOXBOX ALERT!🚨 Unleash your wild side with @UrbanDecay's WildLash Volumizing Mascara and Wild Greens Eyeshadow Palette! 🌱 RT if you'd try this out! https://t.co/OWKj3ruHq5 https://t.co/szMylVuL8J
One random VoxBox every month OR two VoxBoxes of your choosing a year? 🎁
Key Insights & Takeaways
The account heavily relies on retweets for engagement and promotion. Promotional content is often mixed with emojis and symbols to attract attention. The focus on VoxBox giveaways suggests a strategy to incentivize user interaction and app downloads.
Strengths
- + Established follower base of 215,379
- + 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 @Influenster reveals an growing Twitter presence with 215,379 followers. The account demonstrates a content-creator strategy, averaging 38.4 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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