Hannah Waddingham.💣
UkRep:Peter Brooks @CAM_London.LA:Nick Todisco @atlasentertainment. Global publicist: Annick Mueller @wolfkastelerpr.com
283,153
Followers
990
Following
9,989
Tweets
447.3
Avg Engagement
428
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hanwaddingham'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:2013-09-29
- Verification:No
- Location:All over the shop.
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:191.7
- Avg Retweets per Tweet:255.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,224 tweetsThe account has a high average engagement rate with likes and retweets, indicating a loyal and active audience. The content is well-received, with many interactions and shares, especially around popular shows and sports events.
191.7
Avg Likes/Tweet
255.6
Avg Retweets/Tweet
618,128
Total Likes
824,005
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
2
Median Retweets
77
75th Percentile
139,700
Top Tweet
1.58
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
7.9%
Original
34.1%
Replies
36.2%
Retweets
21.8%
Quotes
0.0%
Threads
0.9%
With Media
44.2%
With Links
23.1%
With #Tags
78.9%
With @Mentions
44.9%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.31
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.4%
Weekday Posts
24.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 1,166 retweets (36% 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 3,224 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 followersThe audience appears to be fans of entertainment shows like Ted Lasso and sports enthusiasts, particularly those interested in Greyhounds and football. They are likely to be engaged viewers and followers of publicized events and personalities.
Good
Audience Quality
18.4%
Suspicion Index
22.0%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.4%
Empty Bio
12.2%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
40.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.0%
No URL
7.5%
<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.
103,428,155
Total Potential Reach
82
Median Follower Reach
273
75th Percentile Reach
8.3%
>1K followers
1.1%
>10K followers
0.4%
>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).
73.1%
Creators
36,551 accounts
14.7%
Consumers
7,360 accounts
12.2%
Dormant
6,089 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):
552
Verified Followers
0.55% of total
14,710
Protected Accounts
14.71% 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 |
|---|---|---|---|
| @chrissyteigen | 12,862,837 | - | - |
| @stephenfry | 12,278,497 | - | - |
| @MarkHamill | 5,287,107 | Actor | Star Wars, Believe, Humor |
| @FallonTonight | 4,504,231 | - | - |
| @IAMJHUD | 4,037,119 | Entertainer | Music, Acting, Film |
| @THR | 3,458,052 | Entertainment News | Entertainment, News, Reviews |
| @MLS | 3,344,900 | Sports League | Soccer, Stadiums, Stars |
| @BBCR1 | 3,012,501 | Radio Host | Music, Live Lounge, Radio |
| @Anele | 2,279,688 | Media Personality | Books, Entertainment, Booking |
| @PBS | 2,229,489 | Media | Education, Exploration, Conversation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,803
Followers With Bio
37,197
Followers Without Bio
62.8%
% With Bio
37.2%
% 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 3,224 analyzed420,690
Combined Engagement
0
Total Likes
420,690
Total Retweets
84,138
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @JoeBiden: I won't be president until January 20th, but my message today to everyone is this: wear a mask.
RT @JoshuaPotash: This is so crazy it’s morning now in New Zealand and they’re marching for #BlackLivesMatter https://t.co/KxegRDzTK3
RT @RealMattLucas: https://t.co/k6Sr4Iac15
RT @whyangelinawhy: good evening, clarice https://t.co/bXULlFR6t6
RT @NicolaSturgeon: STAY HOME. PROTECT THE NHS. SAVE LIVES.
Key Insights & Takeaways
The account uses emotional and celebratory language to connect with followers, which drives engagement. Personalized and fan-focused content, such as welcoming new followers, increases interaction and loyalty. Promotional tweets for shows and events are effective in maintaining audience interest and driving shares.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 283,153
- + 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 @hanwaddingham reveals an well-established Twitter presence with 283,153 followers. The account demonstrates a conversation-first approach, averaging 447.3 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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