☔️ LOLA AMOUR ☔️
7-piece indie band from the Philippines. For bookings or inquiries, contact us at [email protected]
100,300
Followers
311
Following
17,559
Tweets
175.4
Avg Engagement
49
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lolaamourmusic'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:2017-03-05
- Verification:No
- Location:Alabang, Muntinlupa
Data Summary
- Tweets Analyzed:2,958
- Avg Likes per Tweet:129.8
- Avg Retweets per Tweet:45.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,958 tweetsThe account has a high average engagement rate, indicating strong interaction with followers. The use of hashtags and links suggests a focus on promoting content and events.
129.8
Avg Likes/Tweet
45.6
Avg Retweets/Tweet
384,017
Total Likes
134,912
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
77
75th Percentile
46,869
Top Tweet
1.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
17.8%
Original
18.3%
Replies
46.0%
Retweets
17.9%
Quotes
0.0%
Threads
1.3%
With Media
68.4%
With Links
13.4%
With #Tags
66.4%
With @Mentions
36.4%
With Emojis
101
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,958 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,360 retweets (46% 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 2,958 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 10,000 followersThe audience appears to be fans of indie music and possibly Filipino audiences interested in local artists. The engagement suggests a loyal and active fan base.
Average
Audience Quality
24.3%
Suspicion Index
34.0%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.8%
Empty Bio
36.1%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
52.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
27.2%
<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.
1,179,190
Total Potential Reach
5
Median Follower Reach
35
75th Percentile Reach
1.1%
>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).
45.7%
Creators
4,571 accounts
18.2%
Consumers
1,823 accounts
36.1%
Dormant
3,606 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):
4
Verified Followers
0.04% of total
4,161
Protected Accounts
41.61% 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 |
|---|---|---|---|
| @LyricsArtPH | 272,511 | Content Creator | Content creation, Art, Collaboration |
| @tedkardas | 50,766 | - | - |
| @ptrshrgdn | 45,272 | Writer | mysterious, oversharer, views |
| @cotingsu | 30,187 | - | - |
| @iliwyszjm_ | 15,451 | - | - |
| @studiojepi | 13,170 | - | - |
| @szamanthaelaine | 12,631 | - | - |
| @heytoneejay | 12,391 | - | - |
| @titaluhaaa | 12,034 | - | - |
| @marshall_dtch | 9,236 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,920
Followers With Bio
4,080
Followers Without Bio
59.2%
% With Bio
40.8%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,958 analyzed152,667
Combined Engagement
108,984
Total Likes
43,683
Total Retweets
30,533
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Pwede baaa, Leni naaa 💗 Teka lang, si Kiko paaa 💚 #IsamaSiKiko #LeniKiko2022
✔️ Leni ✔️ Chel
RT @junrobleslana: Ang mamatay nang dahil sa yo #PasigisPink https://t.co/GfQ5bsNOPj
Grabe ka Maki Link to post: https://t.co/eMi99gRCzm https://t.co/hA2L47RV4t
🙂🙂🙂 https://t.co/bDFW4u9ySJ
Key Insights & Takeaways
The band uses trending and emotional hashtags like #IsamaSiKiko and #LeniKiko2022 to connect with fans and promote their content. They share links to external content, possibly for promotions, collaborations, or fan engagement. Their tweets often include emojis and casual language, indicating a friendly and relatable brand image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 100,300
- + High community engagement through conversations
- + 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 @lolaamourmusic reveals an well-established Twitter presence with 100,300 followers. The account demonstrates a conversation-first approach, averaging 175.4 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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