Beverley Callard
Personal Management @melanieblakeuk @ABA_Agent Voiceover @damngoodvoices
110,342
Followers
858
Following
16,766
Tweets
185.7
Avg Engagement
159
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Beverleycallard'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:2011-09-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,172
- Avg Likes per Tweet:102.2
- Avg Retweets per Tweet:83.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,172 tweetsHer tweets receive moderate engagement, with an average of 4,139 likes and 95 retweets, suggesting a loyal but not highly interactive audience.
102.2
Avg Likes/Tweet
83.4
Avg Retweets/Tweet
324,337
Total Likes
264,654
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
94
75th Percentile
69,971
Top Tweet
1.68
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
28.2%
Original
21.6%
Replies
31.6%
Retweets
18.7%
Quotes
0.0%
Threads
0.5%
With Media
58.7%
With Links
22.1%
With #Tags
65.4%
With @Mentions
21.5%
With Emojis
109
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,172 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 1,002 retweets (32% 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 3,172 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 followersHer audience likely includes industry professionals, voiceover artists, and individuals interested in personal stories and updates.
Average
Audience Quality
31.1%
Suspicion Index
38.5%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.1%
Empty Bio
33.9%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
67.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
22.8%
<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.
5,965,635
Total Potential Reach
24
Median Follower Reach
99
75th Percentile Reach
3.8%
>1K followers
0.6%
>10K followers
0.2%
>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).
40.9%
Creators
4,092 accounts
25.2%
Consumers
2,518 accounts
33.9%
Dormant
3,390 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):
41
Verified Followers
0.41% of total
1,111
Protected Accounts
11.11% of total
5 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 |
|---|---|---|---|
| @RonJichardson | 855,657 | Comedian | Comedy, Photography, Tour |
| @tarastrong | 449,770 | Voice Actress | Animation, Voice Acting, Superheroes |
| @mouthwaite | 270,479 | Actress | Acting, Voice overs, Instagram |
| @conquerer1 | 236,359 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @mfhorne | 219,459 | Actor | Acting, Writing, Voice Work |
| @CarlBovisNature | 172,876 | Ornithologist | Birds, Nature, Photography |
| @jess_impiazzi | 148,249 | Actress | Acting, Writing, Charity |
| @TG4TV | 105,071 | Media | Gaeilge, Quality Content, Flirting |
| @fabsuzie1971 | 89,504 | Adult entertainer | naughty tweets, fun, followers |
| @Visiongeo | 89,179 | Philanthropist | NGO funding, Philanthropy, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,588
Followers With Bio
5,412
Followers Without Bio
45.88%
% With Bio
54.12%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,172 analyzed140,330
Combined Engagement
0
Total Likes
140,330
Total Retweets
28,066
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @r_jhunter: STILL MISSING: 2nd year student midwife at university of Hertfordshire, not seen since 26th December 2018. JOY MORGAN - spread her face, get her found!!! Xx https://t.co/hYA0AV7Fil
RT @bek_stratfield: This is my son Finn who has now been missing for 14 months. Finn was last seen on the 8th of July 2017 near Tintagel, North Cornwall. It never gets any easier to do this each month, but you can help by retweeting to raise awareness of Finn. It only takes a fe
RT @j_mcconnachie: How many retweets I wonder will persuade @talktalk to fix my 94-year-old neighbour's phone - the kind, warm-hearted, proudly independent man whose health I'm really worried about? How many retweets might get me off call-waiting so I can ask them - yet again - t
RT @RexChapman: Be the No. 50 in someone’s life... https://t.co/h5w44R7BRZ
RT @TimetoChange: It's #WorldMentalHealthDay. Too many people are made to feel ashamed because of their mental illness: that has to change. https://t.co/67KmcofoBG
Key Insights & Takeaways
She frequently shares personal life events, which may help build a closer connection with her followers. Her content includes both professional and personal updates, indicating a diverse range of interests. She uses personal anecdotes and humor, which can enhance relatability and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,342
- + 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 @Beverleycallard reveals an well-established Twitter presence with 110,342 followers. The account demonstrates a content-creator strategy, averaging 185.7 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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