H from Steps
He/Him 👧🏻👱🏻👩🏼👦🏻👱🏻♀️ @officialsteps #Dysgwr #TwinDad
102,290
Followers
32,941
Tweets
922.9
Avg Engagement
297
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ianhwatkins'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:2009-12-21
- Verification:No
- Location:Wales
Data Summary
- Tweets Analyzed:3,160
- Avg Likes per Tweet:98.9
- Avg Retweets per Tweet:824.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,160 tweetsIanhwatkins' tweets consistently receive high likes and retweets, indicating strong audience interaction. His content is both personal and political, which likely drives this engagement.
98.9
Avg Likes/Tweet
824.0
Avg Retweets/Tweet
312,388
Total Likes
2,603,848
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
5
Median Retweets
131
75th Percentile
511,244
Top Tweet
9.02
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
29.9%
Original
3.3%
Replies
40.7%
Retweets
26.1%
Quotes
0.0%
Threads
2.8%
With Media
76.0%
With Links
33.9%
With #Tags
62.8%
With @Mentions
65.3%
With Emojis
129
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,160 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 1,286 retweets (41% 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 3,160 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 likely include individuals interested in politics, family life, and social commentary. The use of emojis and personal stories suggests a younger, more emotionally engaged audience.
Good
Audience Quality
15.2%
Suspicion Index
16.0%
Low-Quality %
168
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.6%
Empty Bio
7.5%
<10 Tweets
19.5%
Mass Following (>2K)
0.0%
New (<90 days)
26.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.1%
No URL
4.3%
<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.
28,671,860
Total Potential Reach
168
Median Follower Reach
572
75th Percentile Reach
16.3%
>1K followers
2.1%
>10K followers
0.4%
>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).
81.9%
Creators
8,186 accounts
10.6%
Consumers
1,059 accounts
7.5%
Dormant
755 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):
65
Verified Followers
0.65% of total
1,038
Protected Accounts
10.38% 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 |
|---|---|---|---|
| @JohnCena | 14,093,350 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AyoCaesar | 414,188 | Journalist | Literature, Anarcho-fabulous, Luxury communism |
| @theuniq | 382,820 | Media Personality | Discoveries, Stories, Videos |
| @RosieisaHolt | 301,200 | Comedian | comedy, coffee, video messages |
| @JaneyGodley | 292,598 | Comedian | Comedy, Acting, Writing |
| @Herring1967 | 287,511 | Comedian | Comedy, Snooker, Men's Issues |
| @EmmaKennedy | 286,411 | Writer | Books, Writing, Cooking |
| @TVNaga01 | 278,434 | Journalist | Journalism, Golf, Kindness |
| @watsoncomedian | 263,420 | Comedian | Novels, Comedy, YouTube |
| @DawnButlerBrent | 244,651 | Politician | Politics, Activism, Representation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,239
Followers With Bio
2,761
Followers Without Bio
72.39%
% With Bio
27.61%
% 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 3,160 analyzed1,371,550
Combined Engagement
0
Total Likes
1,371,550
Total Retweets
274,310
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @VP: Ready to serve.
RT @paddingtonbear: Thank you Ma’am, for everything.
RT @IlhanMN: I am drawing up Articles of Impeachment. Donald J. Trump should be impeached by the House of Representatives & removed from office by the United States Senate. We can’t allow him to remain in office, it’s a matter of preserving our Republic and we need to ful
Key Insights & Takeaways
He uses personal and emotional stories to connect with his audience His tweets often include political commentary and social issues He leverages hashtags to amplify his message and reach a broader audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 102,290
- + 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 @Ianhwatkins reveals an well-established Twitter presence with 102,290 followers. The account demonstrates a content-creator strategy, averaging 922.9 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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