Danny Ings
Professional footballer @WestHam | @NikeUK athlete | Instagram: @ingstagram10
299,416
Followers
494
Following
2,551
Tweets
149.1
Avg Engagement
926
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IngsDanny'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:2013-06-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,496
- Avg Likes per Tweet:109.2
- Avg Retweets per Tweet:39.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,496 tweetsIngs' tweets typically receive around 9,000 likes and 3,000 retweets on average, indicating strong fan interaction. His content is well-received and often shared within the football community.
109.2
Avg Likes/Tweet
39.9
Avg Retweets/Tweet
272,519
Total Likes
99,565
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
17
75th Percentile
30,178
Top Tweet
0.5
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
28.0%
Original
52.1%
Replies
19.7%
Retweets
0.2%
Quotes
0.0%
Threads
0.2%
With Media
19.3%
With Links
9.1%
With #Tags
80.7%
With @Mentions
60.8%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.86
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,496 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 492 retweets (20% 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 2,496 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 primarily consists of football fans and sports enthusiasts who follow his career and personal journey. The audience is highly engaged, showing support through likes and retweets.
Average
Audience Quality
23.4%
Suspicion Index
26.2%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.7%
Empty Bio
22.2%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
51.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
13.7%
<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.
57,093,899
Total Potential Reach
53
Median Follower Reach
208
75th Percentile Reach
5.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
56.9%
Creators
28,468 accounts
20.8%
Consumers
10,414 accounts
22.2%
Dormant
11,118 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):
317
Verified Followers
0.31% of total
10,495
Protected Accounts
10.39% of total
7 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 |
|---|---|---|---|
| @JohnCena | 14,103,037 | Wrestler | Wrestling, Motivation, Self-promotion |
| @England | 6,057,275 | Sports Marketing | Football, National Teams, Contact Us |
| @LFC_Arabic | 4,819,675 | Football Club | Football, Liverpool, Arabic |
| @youngy18 | 2,660,601 | Footballer | football, Instagram, AVFC |
| @WestHam | 2,597,472 | Supporter Services | Football, Supporter Services, Official App |
| @EnglandFootball | 2,297,592 | Football Association | grassroots, coaching, support |
| @Carra23 | 2,193,416 | Football Pundit | Football, TV punditry, Charity |
| @19SCazorla | 2,101,228 | Footballer | Asturias, Football, Spain |
| @andrewrobertso5 | 2,062,857 | - | - |
| @6BillionPeople | 2,035,477 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,273
Followers With Bio
43,726
Followers Without Bio
56.71%
% With Bio
43.29%
% 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 2,496 analyzed93,134
Combined Engagement
74,161
Total Likes
18,973
Total Retweets
18,627
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
That’s class, probably better than mine to be fair 🤣 No stopping it ⚽️ https://t.co/2JqxTvUIvW
Blown away by all the messages, means the world. "LIFE HAS 2 RULES: 1# NEVER QUIT 2#ALWAYS REMEMBER RULE #1"🔴#LFC
Thanks for your messages. Delighted to be joining #LFC. A special club with great players. I will give everything to be successful. ⚽️❤️
So happy to be back out there today! Thanks everyone for your support over the the last 7 months ❤️⚽️ https://t.co/4DgGG5mbLH
Good to be back playing with the boys ❤️⚽️ #LFC https://t.co/y9mQfQKRWJ
Key Insights & Takeaways
He emphasizes perseverance and motivation through his tweets, which resonate with his audience. His personal updates and gratitude towards fans highlight his connection with followers. He uses hashtags and links to enhance visibility and engagement with his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 299,416
- + 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 @IngsDanny reveals an well-established Twitter presence with 299,416 followers. The account demonstrates a conversation-first approach, averaging 149.1 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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