Lisa
mahasiswi yang hobinya rebahan telah berhasil wisuda // Endorsement: 082116350934 (Santi)
90,209
Followers
174
Following
5,373
Tweets
1,108.4
Avg Engagement
418
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lisaadrianii'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:2015-05-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,195
- Avg Likes per Tweet:203.2
- Avg Retweets per Tweet:905.2
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,195 tweetsHer tweets receive a moderate to high level of engagement, with an average of 1,797 likes and 221 retweets per post. The engagement is likely driven by her personal and emotional content.
203.2
Avg Likes/Tweet
905.2
Avg Retweets/Tweet
649,135
Total Likes
2,892,130
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
151
Median Likes
14
Median Retweets
315
75th Percentile
554,869
Top Tweet
12.29
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
61.5%
Original
24.4%
Replies
5.0%
Retweets
9.1%
Quotes
0.0%
Threads
0.3%
With Media
46.3%
With Links
16.1%
With #Tags
37.6%
With @Mentions
52.4%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
1.84
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,195 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 159 retweets (5% 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 3,195 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 10,999 followersHer audience appears to be young adults, likely peers or fans who appreciate personal stories and emotional content. They are engaged and responsive to her posts, showing interest in her life and achievements.
Below Average
Audience Quality
36.3%
Suspicion Index
38.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.2%
Empty Bio
59.3%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
87.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
41.9%
<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.
956,009
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.8%
>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).
18.9%
Creators
2,083 accounts
21.8%
Consumers
2,398 accounts
59.3%
Dormant
6,518 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):
1
Verified Followers
0.01% of total
892
Protected Accounts
8.11% of total
2 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 |
|---|---|---|---|
| @A_LuluJKT48 | 155,251 | Singer | JKT48, Instagram, CP |
| @SangRembulan24 | 121,889 | - | - |
| @gabstevany | 62,322 | Singer | Nyanyi, Social Media, Endorsment |
| @Wanita24Cantik | 62,005 | Beauty Influencer | Kecantikan, Wanita, Keindahan |
| @gagitutem | 33,565 | - | - |
| @Marlon_Andrie | 15,687 | - | - |
| @Tatianasukasex | 9,683 | - | - |
| @Rohmatkun | 8,428 | - | - |
| @lights0yasauce | 8,358 | - | - |
| @rianwydi | 7,338 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,132
Followers With Bio
3,867
Followers Without Bio
64.84%
% With Bio
35.16%
% 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 3,195 analyzed2,018,362
Combined Engagement
0
Total Likes
2,018,362
Total Retweets
403,672
Avg per Tweet
Key Metrics for Viral Tweets
60%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @BTS_twt: ✈️✈️Let’s Go!! Grammy✈️✈️ https://t.co/yYLEHaeOEy
RT @billboardcharts: The #Hot100 top 10 (chart dated July 24, 2021)
RT @BigHitEnt: #BTS #방탄소년단 #MAP_OF_THE_SOUL_PERSONA Concept Photo version 4 https://t.co/kf5keVuwMb
RT @BigHitEnt: #BTS #방탄소년단 #MAP_OF_THE_SOUL_PERSONA Concept Photo version 3 https://t.co/7o55GhFIUy
RT @bts_bighit: #BTS #방탄소년단 MAP OF THE SOUL : #PERSONA 'Persona' Concept Photo Sketch (1) (@ https://t.co/2AqYfmUnnu) https://t.co/KovXNS0xlE
Key Insights & Takeaways
She focuses on sharing her graduation journey and expressing love for her followers Her content is highly emotional and personal, using emojis and affectionate language She uses Twitter as a platform to connect with her audience and promote her personal brand
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,209
- + 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 @lisaadrianii reveals an exceptionally influential Twitter presence with 90,209 followers. The account demonstrates a content-creator strategy, averaging 1,108.4 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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