Daniel Moncada
ACTOR,#BetterCallSaul #BreakingBad🪓💀🎮
55,329
Followers
1,615
Following
7,782
Tweets
336.9
Avg Engagement
168
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DanielMoncada80'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:2013-01-28
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:72.6
- Avg Retweets per Tweet:264.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,234 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and mentions helps drive engagement and visibility.
72.6
Avg Likes/Tweet
264.2
Avg Retweets/Tweet
234,900
Total Likes
854,492
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
102
75th Percentile
53,223
Top Tweet
6.09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.7%
Original
58.6%
Replies
32.9%
Retweets
2.8%
Quotes
0.0%
Threads
0.4%
With Media
47.4%
With Links
38.1%
With #Tags
95.8%
With @Mentions
47.9%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.3
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 1,065 retweets (33% 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 3,234 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 followersHis followers are likely fans of Better Call Saul and Breaking Bad, as well as actors and entertainment enthusiasts. The audience seems to appreciate content that includes humor, character references, and interactions with other fans.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.6%
No URL
100.0%
<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.
19,502,497
Total Potential Reach
49
Median Follower Reach
183
75th Percentile Reach
8.0%
>1K followers
1.7%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,012
Protected Accounts
10.12% of total
5 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 |
|---|---|---|---|
| @HasbullaHive | 1,597,035 | Fan Page | MMA, Comedy, Parody |
| @KimDotcom | 1,447,382 | Entrepreneur | Entrepreneur, Gamer, Internet Freedom |
| @BrianDEvans | 1,270,085 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @MarioNawfal | 919,367 | - | - |
| @NOH8Campaign | 799,389 | Activism | equality, bullying, discrimination |
| @adabelguerrero | 663,005 | Bailarina | bailarina, artista, Argentina |
| @john | 463,641 | Entrepreneur | Full Send, Nelk, Shots |
| @5ireChain | 458,454 | - | - |
| @garyhgoodridge | 363,408 | Fighter | UFC, Arm Wrestling, Mental Health |
| @Hasbulla_NFT | 362,111 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,754
Followers With Bio
3,246
Followers Without Bio
67.54%
% With Bio
32.46%
% 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 3,234 analyzed166,873
Combined Engagement
25,262
Total Likes
141,611
Total Retweets
33,375
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @BetterCallSaul: They're coming back. #BetterCallSaul https://t.co/IXDq6KarcN
RT @BreakingBad: WE'RE A STATUE, YO! https://t.co/sDgjEwpVXt
RT @BreakingBad: 14 years ago today, the world met Walter White. https://t.co/MI2Go8qhc8
RT @breaking_frames: Breaking Bad - Season 05 Episode 13 - Frame 2573 of 2774 https://t.co/uPTxnuycJ6
Happy birthday to the bad ass Jonathan Banks aka Mike Ehrmantraut 🪓💀 #BetterCallSaul #BreakingBad https://t.co/Smy8ngsw27
Key Insights & Takeaways
He leverages popular TV show references to connect with his audience. His content often includes humor and character-related jokes, which resonate well with fans. He actively engages with other fans and actors by mentioning them in his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55,329
- + 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 @DanielMoncada80 reveals an well-established Twitter presence with 55,329 followers. The account demonstrates a conversation-first approach, averaging 336.9 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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