Patrick Salvado 👑
Patrick Idringi 'SALVADO' Ugandan Comedian and Actor For Bookings: +256774442310 - [email protected]
315,114
Followers
834
Following
18,768
Tweets
194.7
Avg Engagement
69
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @idringp'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:2011-01-20
- Verification:No
- Location:Kampala - Uganda
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:128.5
- Avg Retweets per Tweet:66.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsIdringi's tweets typically receive an average of 5,201 likes and 852 retweets, indicating a highly engaged audience. His content is often shared and discussed, suggesting a strong community interaction.
128.5
Avg Likes/Tweet
66.2
Avg Retweets/Tweet
415,908
Total Likes
214,276
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
3
Median Retweets
95
75th Percentile
51,329
Top Tweet
0.62
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
28.4%
Original
24.7%
Replies
24.1%
Retweets
22.9%
Quotes
0.0%
Threads
0.4%
With Media
45.5%
With Links
14.3%
With #Tags
60.7%
With @Mentions
42.0%
With Emojis
112
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.87
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.4%
Weekday Posts
26.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 779 retweets (24% 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 3,237 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 50,000 followersHis audience appears to be primarily Ugandan, with a strong interest in comedy and entertainment. They are likely young adults and teenagers who enjoy viral and trending content.
Average
Audience Quality
31.1%
Suspicion Index
42.4%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.0%
Empty Bio
47.3%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
57.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
27.9%
<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.
12,352,912
Total Potential Reach
17
Median Follower Reach
68
75th Percentile Reach
2.4%
>1K followers
0.3%
>10K followers
0.1%
>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).
18.8%
Creators
9,414 accounts
33.8%
Consumers
16,916 accounts
47.3%
Dormant
23,670 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):
66
Verified Followers
0.07% of total
3,741
Protected Accounts
3.74% 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 |
|---|---|---|---|
| @UlrichJvV | 1,150,084 | Activist | Digital media, Global development, Gardening and sustainability |
| @omwambaKE | 436,152 | - | - |
| @ZimEye | 419,138 | Journalist | Zimbabwe, Africa, Journalism |
| @SimonKaggwaNjal | 415,768 | PR Consultant | #PR, #Media, #Speakerpreneur |
| @hellenjeriKe | 302,219 | Banker | Finance, Dubai, Hustling |
| @johnnjenga | 278,790 | Academic | Politics, Memory, Research |
| @AzawiOfficial | 263,943 | Musician | Music, Songwriting, Performing |
| @AnthoniaOrji | 258,820 | - | - |
| @kate01___ | 249,646 | - | - |
| @AllanSseky | 247,985 | Digital Marketer | Manchester United, Chemical Engineering, Scooby Doo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,987
Followers With Bio
46,013
Followers Without Bio
53.99%
% With Bio
46.01%
% 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 3,237 analyzed97,633
Combined Engagement
16,271
Total Likes
81,362
Total Retweets
19,527
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @KhabyLame: Never stop growing and always belleve inyour dreams 🥹 I love you all ❤️ https://t.co/9r8yVcRCLd
RT @sahouraxo: "Those who killed Muammar Gaddafi, today are coming to teach us about democracy." Zambia's opposition leader, Fred M'membe,…
My Oh my, just watch this 🤯 https://t.co/Qq7gf3nogi
Eric Omondi you will not see heaven 🤩🤣🤩🤩🤩🤩
RT @EddieNketiah9: What a night, I love this team! All glory to God as always, let’s keep pushing. 🙏🏾❤️ @Arsenal #COYG https://t.co/lITWEes…
Key Insights & Takeaways
He frequently uses humor and bold statements to engage his audience. His tweets often reference other public figures, indicating a strategic approach to visibility and influence. He leverages trending topics and viral content to maintain relevance and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 315,114
- + 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 @idringp reveals an well-established Twitter presence with 315,114 followers. The account demonstrates a content-creator strategy, averaging 194.7 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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