Ralph Boschung
Never Give Up
12,366
Followers
46
Following
2,270
Tweets
252.5
Avg Engagement
121
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BoschungRalph'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:2013-02-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:596
- Avg Likes per Tweet:170.8
- Avg Retweets per Tweet:81.7
- Followers Analyzed:12,479
Engagement Analysis
Based on 596 tweetsThe account has a high average engagement rate with 4,034 likes and 1,069 retweets per tweet, indicating a loyal and active following.
170.8
Avg Likes/Tweet
81.7
Avg Retweets/Tweet
101,819
Total Likes
48,680
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
121
75th Percentile
14,116
Top Tweet
20.42
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
42.4%
Original
3.0%
Replies
54.2%
Retweets
0.3%
Quotes
0.0%
Threads
0.2%
With Media
54.4%
With Links
40.3%
With #Tags
71.3%
With @Mentions
44.1%
With Emojis
106
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 596 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 323 retweets (54% 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 596 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 12,479 followersThe audience appears to be interested in motorsports, especially F2 racing, and values engagement and recognition from the account owner.
Average
Audience Quality
20.4%
Suspicion Index
20.6%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
14.6%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
50.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
9.0%
<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.
16,329,693
Total Potential Reach
58
Median Follower Reach
229
75th Percentile Reach
7.1%
>1K followers
0.9%
>10K followers
0.3%
>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).
68.6%
Creators
8,562 accounts
16.8%
Consumers
2,094 accounts
14.6%
Dormant
1,823 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):
123
Verified Followers
0.99% of total
1,095
Protected Accounts
8.77% 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 |
|---|---|---|---|
| @SirKunt | 2,254,883 | - | - |
| @MMCrypto | 1,322,809 | Crypto Trader | Bitcoin, BTC, Cryptocurrency |
| @TheMoonCarl | 1,307,160 | Entrepreneur | Bitcoin, Crypto Jobs, Investing |
| @fia | 1,210,842 | Motorsport | motorsport, mobility, news |
| @Formula2 | 595,048 | Motorsport | Motorsport, Racing, Championship |
| @autosport | 546,399 | Motorsport journalism | Motorsport, News, Analysis |
| @MartiniGuyYT | 487,023 | Crypto Influencer | Bitcoin, Crypto, Investing |
| @Daminous_Purity | 354,198 | Minister | WWE, NFL, FIFA |
| @Anto_Giovinazzi | 341,164 | Racing Driver | Formula 1, Racing, Alfa Romeo |
| @darcydonavan | 240,431 | Actress | Acting, Music, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,467
Followers With Bio
4,012
Followers Without Bio
67.85%
% With Bio
32.15%
% 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 596 analyzed45,744
Combined Engagement
21,237
Total Likes
24,507
Total Retweets
9,149
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
Actually , I’m also going to giveaway my F2 race suit. RT and Like this.
As I am still recovering, I have called @robertomerhi after his incredible race , firstly to congratulate him and secondly that I want him to continue driving in my car for the next F2 race. I support 100% talent and not a driver with 100% money… #vamosTeto
RT @F1: For Anthoine. https://t.co/Uf8HI074TP
At 10K followers here I will make a giveaway. You’ll have the chance to win my original F2 race helmet. RT this if you want to make it happen! https://t.co/7vDXfZ8pXC
RT @SpaceX: Falcon 9 flew for the first time ten years ago today. Completing 85 missions to date, Falcon 9 is now the most flown operationa…
Key Insights & Takeaways
The user frequently interacts with other motorsport figures like Robert Merhi, showing a network within the racing community. They use giveaways as a strategy to boost engagement and reward their followers. Their content often includes personal updates and expressions of gratitude, which help build a personal connection with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,366
- + 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 @BoschungRalph reveals an well-established Twitter presence with 12,366 followers. The account demonstrates a content-creator strategy, averaging 252.5 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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