Danny Mac
Full-time Dad, Part-time Actor, rep’d by @UnitedAgents & @epilogueagency | https://www.facebook.com/unsupportedbrowser |
325,856
Followers
1,220
Following
7,725
Tweets
1,477.8
Avg Engagement
269
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dannymaconline'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:2009-12-09
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:136.5
- Avg Retweets per Tweet:1,341.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsHis tweets receive strong engagement with an average of 4,332 likes and 1,436 retweets, indicating a loyal and active fan base. His content is well-received and often shared.
136.5
Avg Likes/Tweet
1,341.3
Avg Retweets/Tweet
442,252
Total Likes
4,345,683
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
35
Median Likes
6
Median Retweets
168
75th Percentile
2,855,200
Top Tweet
4.54
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
47.4%
Original
24.6%
Replies
16.2%
Retweets
11.8%
Quotes
0.0%
Threads
1.1%
With Media
45.3%
With Links
34.1%
With #Tags
69.5%
With @Mentions
32.1%
With Emojis
115
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.52
Reply/Original Ratio
0.73
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 525 retweets (16% 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 3,240 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 includes fans of his acting roles, fellow actors, and family-oriented followers. They are likely interested in entertainment news, behind-the-scenes content, and personal updates.
Average
Audience Quality
24.1%
Suspicion Index
30.2%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.3%
Empty Bio
21.6%
<10 Tweets
11.7%
Mass Following (>2K)
0.0%
New (<90 days)
52.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
13.2%
<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.
50,625,989
Total Potential Reach
40
Median Follower Reach
161
75th Percentile Reach
5.5%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.1%
Creators
27,540 accounts
23.4%
Consumers
11,681 accounts
21.6%
Dormant
10,779 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):
509
Verified Followers
0.5% of total
16,247
Protected Accounts
16.09% of total
9 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 |
|---|---|---|---|
| @6BillionPeople | 2,035,630 | - | - |
| @CelebJuice | 1,946,531 | Entertainment | TV, Comedy, Entertainment |
| @carolineflack1 | 1,730,231 | TV Presenter | Islands, Love, TV |
| @British_Airways | 1,444,330 | Airline | Travel, Customer Service, Aviation |
| @sherylunderwood | 1,319,232 | TV Host | Talk show, radio, sorority |
| @soledadobrien | 1,318,262 | Journalist | working, mom, journalist |
| @scott_mills | 1,265,555 | Radio Host | Entertainment, Music, Radio |
| @CybersmileHQ | 1,157,088 | Nonprofit | kindness, equality, inclusion |
| @fadjroeL | 1,047,032 | Communications | Democracy, Indonesia, Friendship |
| @LeBronJames | 1,008,804 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,514
Followers With Bio
51,485
Followers Without Bio
49.02%
% With Bio
50.98%
% 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 3,240 analyzed3,642,828
Combined Engagement
0
Total Likes
3,642,828
Total Retweets
728,566
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @TheEllenShow: If only Bradley's arm was longer. Best photo ever. #oscars http://t.co/C9U5NOtGap
RT @VancityReynolds: Hard keeping my mouth sewn shut about this one. ⚔️ https://t.co/OdV7JmAkEu
RT @VinceGoodwill: This one damn near broke me https://t.co/hdAwOKBrWl
RT @JKCorden: This commercial was banned from TV for being too political. I think everyone should see it x https://t.co/ns2XnGSnv6
RT @SLAMonline: 💔 https://t.co/sc2v8nMis2
Key Insights & Takeaways
He frequently interacts with fans and fellow actors, building a sense of community. His content often includes humor and personal anecdotes, which resonate with his audience. He leverages his professional connections to promote his work and engage with fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 325,856
- + 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 @dannymaconline reveals an exceptionally influential Twitter presence with 325,856 followers. The account demonstrates a content-creator strategy, averaging 1,477.8 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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