Big Spaceship
We’re more than an agency of record, we’re an agency of progress.
59,300
Followers
3,198
Following
8,300
Tweets
34.6
Avg Engagement
3,803
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bigspaceship'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:2007-03-05
- Verification:No
- Location:Brooklyn, NY
Data Summary
- Tweets Analyzed:3,139
- Avg Likes per Tweet:4.4
- Avg Retweets per Tweet:30.2
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,139 tweetsAverage likes and retweets suggest a moderate level of audience interaction, with content that resonates well with followers.
4.4
Avg Likes/Tweet
30.2
Avg Retweets/Tweet
13,891
Total Likes
94,731
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
9
75th Percentile
30,714
Top Tweet
0.58
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
68.0%
Original
15.7%
Replies
15.5%
Retweets
0.8%
Quotes
0.0%
Threads
0.8%
With Media
76.8%
With Links
21.1%
With #Tags
53.7%
With @Mentions
5.9%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97.3%
Weekday Posts
2.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,139 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 485 retweets (15% 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 3,139 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 9,998 followersThe audience likely includes digital marketers, business owners, and tech enthusiasts interested in web development and digital strategy.
Good
Audience Quality
14.8%
Suspicion Index
13.3%
Low-Quality %
179
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
19.6%
Empty Bio
12.2%
<10 Tweets
20.6%
Mass Following (>2K)
0.0%
New (<90 days)
22.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
47.6%
No URL
7.0%
<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.
32,901,006
Total Potential Reach
179
Median Follower Reach
548
75th Percentile Reach
14.7%
>1K followers
2.1%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.6%
Creators
6,960 accounts
18.2%
Consumers
1,817 accounts
12.2%
Dormant
1,221 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):
133
Verified Followers
1.33% of total
893
Protected Accounts
8.93% of total
10 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 | 5,831,769 | Electronics | technology, entertainment, innovation |
| @6BillionPeople | 2,013,972 | - | - |
| @RobertAlai | 1,887,964 | Politician | Tech, Politics, Auditing |
| @Kenyans | 1,433,231 | Media | News, Kenya, Media |
| @soledadobrien | 1,313,915 | Journalist | working, mom, journalist |
| @CybersmileHQ | 1,148,776 | Nonprofit | kindness, equality, inclusion |
| @rogerhamilton | 922,295 | Entrepreneur | education, entrepreneurship, futurism |
| @luxurytravel | 720,938 | Travel Blogger | luxury travel, editor, blog |
| @ericschiffer | 696,977 | CEO | business, media, author |
| @shortyawards | 539,191 | Awards | social media, awards, community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,039
Followers With Bio
1,961
Followers Without Bio
80.39%
% With Bio
19.61%
% 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 3,139 analyzed60,383
Combined Engagement
0
Total Likes
60,383
Total Retweets
12,077
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @SimoneGiertz: I made a robot to help me argue on the internet https://t.co/NxpXhk0NMM
RT @DesignUXUI: How it feels to watch a user test your product for the first time. #UX http://t.co/IwcqECciFN
RT @billrobbins: This is why you need to test edge use cases in your designs. http://t.co/cqBToqiXlu
RT @jaromvogel: Another little experiment 🔥 Drawn in @Procreate and coded (mostly) in Swift Playgrounds on iPad, for those who are curious :) https://t.co/kZ7shakmJ0
RT @fubiz: Animated Unsatisfying Situations in Video (by Parallel Studio) https://t.co/Jmuwx0pwRq
Key Insights & Takeaways
The account emphasizes progress and innovation, which aligns with its branding as an agency of record. Content often includes educational material, such as articles on website design and digital strategy. The use of humor and relatable tweets helps build a personal connection with the audience.
Strengths
- + Established follower base of 59,300
- + 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 @bigspaceship reveals an growing Twitter presence with 59,300 followers. The account demonstrates a content-creator strategy, averaging 34.6 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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