Our Last Night
the band that does the covers - Management: [email protected]
92,960
Followers
4,854
Following
14,134
Tweets
162.4
Avg Engagement
385
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OLNband'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:2009-07-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:137.7
- Avg Retweets per Tweet:24.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,179 tweetsOn average, their tweets receive 2,750 likes and 883 retweets, indicating a loyal and active fan base. Their content is well-received, with some tweets gaining over 55,000 views.
137.7
Avg Likes/Tweet
24.6
Avg Retweets/Tweet
437,796
Total Likes
78,334
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
64
Median Likes
4
Median Retweets
189
75th Percentile
7,286
Top Tweet
1.75
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
45.9%
Original
27.5%
Replies
11.4%
Retweets
15.3%
Quotes
0.0%
Threads
0.3%
With Media
59.3%
With Links
2.3%
With #Tags
47.4%
With @Mentions
15.2%
With Emojis
89
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
1.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.3%
Weekday Posts
19.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,179 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 361 retweets (11% 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 3,179 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 followersTheir audience is likely music enthusiasts who enjoy cover songs and video content. The band's focus on collaborations suggests they target fans of the original artists as well.
Good
Audience Quality
17.4%
Suspicion Index
20.3%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.3%
Empty Bio
18.5%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
40.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.6%
No URL
12.3%
<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.
12,868,797
Total Potential Reach
44
Median Follower Reach
191
75th Percentile Reach
5.9%
>1K followers
0.7%
>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).
64.3%
Creators
6,428 accounts
17.2%
Consumers
1,718 accounts
18.5%
Dormant
1,854 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):
88
Verified Followers
0.88% of total
1,199
Protected Accounts
11.99% of total
6 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 |
|---|---|---|---|
| @Sony | 5,820,350 | Electronics | technology, entertainment, innovation |
| @alanaevansxxx | 704,193 | Adult Film Star | Advocate, Actress, President |
| @DonutOperator | 493,227 | YouTuber | gaming, food, beer |
| @zentreya | 423,028 | - | - |
| @deefizzy | 262,398 | Influencer | Betty White, Fizzy Family, Fan Page |
| @chanelshortcake | 233,821 | Adult Film Actress | Adult films, Cashapp, Instagram |
| @MSK18241 | 172,001 | - | - |
| @moviemakermag | 171,256 | Film Magazine | Movies, Filmmaking, Celebrities |
| @kerryshawcross | 157,540 | Writer | RWBY, Twitch, Writing |
| @SXMOctane | 119,642 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,170
Followers With Bio
2,830
Followers Without Bio
71.7%
% With Bio
28.3%
% 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 3,179 analyzed22,740
Combined Engagement
17,957
Total Likes
4,783
Total Retweets
4,548
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Have you checked out our @PostMalone ‘Better Now’ cover featuring @FRONZ1LLA @tilianpearson @LukeHolland? Watch the video now! https://t.co/IxIP5a73hX https://t.co/7CkKz94cqh
Our cover of @PostMalone ‘Better Now’ featuring @FRONZ1LLA @tilianpearson & @LukeHolland is already over 55,000 views!! Keep watching! https://t.co/IxIP5a73hX https://t.co/r7NO4DORex
You can make it to the sunrise
YOU CAN MAKE IT TO THE SUNRISE
Don’t forget to check our new cover of @iamblackbear ‘Hot Girl Bummer’ ! https://t.co/CmTVyMjBvB https://t.co/Z2FSOuI2HZ
Key Insights & Takeaways
They heavily promote their cover videos through direct links, suggesting a focus on driving traffic to their content. Collaborations with well-known artists like Post Malone and Blackbear help increase visibility and credibility. Their engagement is strong, but they may benefit from diversifying content to maintain interest over time.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,960
- + 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 @OLNband reveals an well-established Twitter presence with 92,960 followers. The account demonstrates a content-creator strategy, averaging 162.4 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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