Would I Lie To You?
Official Twitter home of the hit BBC1/Zeppotron show #WILTY? Starring @RobBrydon, @RealDMitchell & Lee Mack! https://www.facebook.com/unsupportedbrowser https://www.youtube.com/@WILTY_TV
58,305
Followers
362
Following
3,639
Tweets
70.7
Avg Engagement
195
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WILTY_TV'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:2011-09-08
- Verification:No
- Location:The Studio
Data Summary
- Tweets Analyzed:3,142
- Avg Likes per Tweet:54.6
- Avg Retweets per Tweet:16.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,142 tweetsTweets receive a high number of likes and retweets, indicating strong audience interaction. The consistent posting schedule helps maintain engagement and visibility.
54.6
Avg Likes/Tweet
16.0
Avg Retweets/Tweet
171,692
Total Likes
50,416
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
17
75th Percentile
21,944
Top Tweet
1.21
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
36.6%
Original
39.3%
Replies
21.0%
Retweets
3.1%
Quotes
0.0%
Threads
0.2%
With Media
21.0%
With Links
22.4%
With #Tags
80.8%
With @Mentions
5.9%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.07
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,142 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 660 retweets (21% 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 3,142 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 followersThe primary audience consists of fans of the show and comedy enthusiasts. The account likely attracts viewers interested in BBC1 programming and celebrity-driven content.
Average
Audience Quality
22.5%
Suspicion Index
30.3%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.5%
Empty Bio
21.4%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
14.2%
<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.
23,257,551
Total Potential Reach
43
Median Follower Reach
175
75th Percentile Reach
5.6%
>1K followers
0.7%
>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).
59.8%
Creators
5,980 accounts
18.8%
Consumers
1,880 accounts
21.4%
Dormant
2,140 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):
46
Verified Followers
0.46% of total
1,384
Protected Accounts
13.84% of total
8 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 | 14,075,893 | Wrestler | Wrestling, Motivation, Self-promotion |
| @loyisogola | 1,098,170 | Comedian | stand-up comedy, South Africa, Emmy nominations |
| @LeBronJames | 938,566 | - | - |
| @michellevisage | 649,692 | - | - |
| @IamMzilikazi | 553,946 | Musician | Pan-African music, Album, Rise |
| @suziperry | 353,139 | Broadcaster | Animals, Broadcasting, Instinct |
| @Josiestweet | 341,572 | TV Presenter | Nature, Animals, Kids |
| @GylesB1 | 206,496 | Writer | Writing, Broadcasting, Podcasting |
| @SaturdayKitchen | 186,048 | TV Show | Cooking, Food, Television |
| @sally_lindsay | 170,140 | Agent | Agent, Voice-over, Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,354
Followers With Bio
4,646
Followers Without Bio
53.54%
% With Bio
46.46%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,142 analyzed57,798
Combined Engagement
26,371
Total Likes
31,427
Total Retweets
11,560
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @carey_craddock: My daughter Mia has been missing since July 7th, please share as widely as possible as we are desperate to find her. If you have any information please call Northamptonshire Police on 101 https://t.co/3ytKs7faTw https
UH OH HERE COMES TROUBLE. Friday, 8pm, @BBCOne https://t.co/W4Dx4flWFA
RT @doglab: It takes 3.2 sec to RT and help find them Police looking for 3 men after an 88-year-old pensioner was robbed in Downham Way, #Bromley of £250 savings he had withdrawn from his bank. The men then used his debit card to steal a further £900 from his account. Call 0800 5
The wait is almost over. Next Friday, 29th January, 9pm, @BBCOne. https://t.co/1HrHS2rHC6
Just when David thought it was safe to go back in the studio. This Friday, 9pm, @BBCOne. Brand new stories, brand new Bob. https://t.co/q44jd6h0P6
Key Insights & Takeaways
The account uses a consistent posting schedule to keep the audience engaged. Promotional content is tailored to highlight new episodes and maintain viewer anticipation. Collaboration with verified celebrities enhances credibility and reach.
Strengths
- + Established follower base of 58,305
- + 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 @WILTY_TV reveals an growing Twitter presence with 58,305 followers. The account demonstrates a conversation-first approach, averaging 70.7 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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