Olly Smith
Raising a glass to you.
53,527
Followers
8,431
Following
28,786
Tweets
13.8
Avg Engagement
493
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jollyolly'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:2009-03-06
- Verification:No
- Location:instagram @ollysmith
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:10.5
- Avg Retweets per Tweet:3.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,193 tweetsTheir tweets receive moderate engagement, with an average of 255 likes and 37 retweets, indicating a loyal but not overly active follower base.
10.5
Avg Likes/Tweet
3.4
Avg Retweets/Tweet
33,401
Total Likes
10,730
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
16
75th Percentile
783
Top Tweet
0.26
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
38.2%
Original
30.6%
Replies
22.2%
Retweets
9.0%
Quotes
0.0%
Threads
1.3%
With Media
69.0%
With Links
29.8%
With #Tags
88.0%
With @Mentions
43.6%
With Emojis
152
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.4%
Weekday Posts
33.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 708 retweets (22% 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 3,193 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 followersTheir audience appears to be interested in food, cooking, and personal anecdotes, with a mix of casual and engaged followers.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
100.0%
<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.
29,235,841
Total Potential Reach
65
Median Follower Reach
260
75th Percentile Reach
8.9%
>1K followers
1.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,269
Protected Accounts
12.69% 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 | 14,096,074 | Wrestler | Wrestling, Motivation, Self-promotion |
| @davidwalliams | 2,267,263 | Comedian | comedian, author, children |
| @Zagat | 1,612,816 | Food Critic | food, dining, reviews |
| @sarajcox | 854,515 | Radio Host | Teatimes, Books, Radio |
| @msm4rsh | 750,978 | Actress | Acting, Singing, Family |
| @mchooyah | 598,943 | Navy SEAL | Military, Sniper, Beer |
| @BootstrapCook | 554,957 | - | - |
| @iamprincekash | 405,256 | - | - |
| @RichardEGrant | 350,546 | - | - |
| @conquerer1 | 235,193 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,582
Followers With Bio
4,418
Followers Without Bio
55.82%
% With Bio
44.18%
% 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 3,193 analyzed2,650
Combined Engagement
965
Total Likes
1,685
Total Retweets
530
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @neilgibbons: It lives. https://t.co/FBV7IeBe9w
Hello Twitter! Thanks so much for all the lovely comments about @SaturdayKitchen ❤️ https://t.co/eJpaKsENqR
RT @themichaelcaine: Brilliant tribute to my friend Roger Moore today. Will always remember him for his humour, kindness and his good looks.
One year ago, dear Barney took interplanetary retirement. Twelve months feels both a blink and an age but I’ve thought of my dear friend every day. Grateful for fifteen years of his friendship and gently inspired by how he always met everyone with kindne… https://t.co/VXoW9hBOdX
RT @BBCSport: Live cricket is returning to BBC TV for the first time in a generation. Get the full story ➡ https://t.co/kKTGWpGkVP #bbccricket https://t.co/rCodCb2C9c
Key Insights & Takeaways
They frequently engage with content from @SaturdayKitchen and other food-related accounts, showing a passion for cooking and food media. Their tweets often include personal reflections and emotional messages, suggesting a desire to connect on a deeper level. They use hashtags and links to enhance the visibility and context of their posts.
Strengths
- + Established follower base of 53,527
- + 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 @jollyolly reveals an growing Twitter presence with 53,527 followers. The account demonstrates a content-creator strategy, averaging 13.8 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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