@danielbedingfld
Daniel “Hooks” Bedingfield
Self-propelling media node/heatseaking prion - Clothing @dadsmistressofficial - Just Headlined 20 UK Festivals- Sold out the O2! nu music coming soon!
@danielbedingfld Profile Analysis Summary
Based on the last 12 posts
When we look at how danielbedingfld's audience interacts with their content, we see an engagement rate of 0.55% — that's about 204 likes and 12 comments per post on average. For accounts in the 10K-100K follower range, the typical rate is around 2.5%, so there's some room to grow here — but every audience is different.
Looking at content mix, about 92% of recent posts are videos and 8% are photos. Interestingly, video content tends to spark 7.3x more interaction than photos — worth noting for anyone studying this account's strategy.
On the posting side, new content shows up about every 6 days — a infrequent rhythm. Captions tend to be concise, averaging around 121 characters.
Key Metrics
39.5K
Followers
4.7K
Following
110
Total Posts
0.55%
Engagement Rate
204
Avg Likes
12
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
39,518 followers
0.55% engagement rate
110 posts, 12 avg comments
8.4:1 follower ratio
Verified account
Authority Score is an estimated metric based on 12 recent posts and public profile data. It reflects potential influence and engagement quality.
Industry Benchmark
2.5K
Total Likes
143
Total Comments
Engagement Rate
Your engagement rate is 78% below the Micro (10K-100K) average. Consider experimenting with content formats, posting times, or engagement strategies.
Avg. Likes per Post
Your average likes are 90% below typical Micro (10K-100K) accounts. Focus on visual quality and trending topics.
Avg. Comments per Post
Your comments are 85% below the Micro (10K-100K) average. Try asking questions or creating discussion-worthy content.
Benchmarks are based on industry averages for accounts in similar follower tiers. Individual performance may vary based on niche, content type, and audience demographics.
Publishing Frequency
0.2
Posts per day
1
Posts per week
Tuesday
Most active day
Posts by Weekday
Top Performing Content
My Frequency - created by @lia.lizaa @mr_carmack @danielbedingfld @eyez_uk @__formz @davegilesii @ai...
View on Instagram
Easier - created by @tanerelle @danielbedingfld @brendan_angelides @machinedrum Recorded at @fallo...
View on Instagram
Daniel Bedingfield - Vampire Attention! #sadstory #danielbedingfield #sad #robbiewilliams #katyperry
View on InstagramAnalyzed 12 posts. Top content receives 1.3K likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Videos outperform photos by 201 avg engagements per post.
Engagement Trend
Overall Trend
IncreasingComparing 6 older posts to 6 recent posts. Overall engagement has increased by <span class="font-medium text-green-400">129.9</span>%
Likes Trend
+134.2%
Before: 122 avg
After: 287 avg
Comments Trend
+69.8%
Before: 9 avg
After: 15 avg
Total Engagement
+129.9%
Before: 131 avg
After: 302 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 111 characters. Medium captions (101-500 chars) perform best with 261 avg engagements.
Hashtag Performance
With Hashtags
1
posts
Without Hashtags
11
posts
Most Used Hashtags
Average 0.4 hashtags per post. Posts without hashtags perform 61 better on average.
Growth Indicators
Account Classification
Small InfluencerWith 39.5K followers, this account falls in the Small category (10K-50K). Typical engagement for this tier: 3-5%
Following/Followers
0.119
GoodEngagement Rate
0.55%
Below averageTotal Followers
39.5K
Following 4.7K- • Good ratio - more followers than following
- • Engagement rate is below the 3-5% benchmark for small accounts
- • Average of 204 likes and 12 comments per post
Hashtags & Captions
Top Hashtags
Based on 12 recent posts
Top Caption Words
Common words filtered out for relevance
Content Themes
Content Mood
The overall tone of this profile's content leans towards romantic & emotional with elements of neutral & informative.
Not enough content to determine themes. Analysis requires posts with captions.
Themes and mood are estimated by analyzing keywords in 12 public post captions and hashtags.
Audience Insights
Limited Data Available: Detailed audience demographics (country, age, gender) are only accessible to account owners through Instagram Insights. The data below is estimated from public content analysis.
Content Languages
Detected from 12 post captions
Audience Engagement
Based on likes-to-followers ratio
10K-100K followers
Estimated based on average engagement × 3
Audience Summary
This established account shows low engagement with primarily English content. Average post reaches an estimated 613 accounts.
Best Time to Post
Best performing time: Wednesday 4pm
Posts during this time get highest average engagement
Based on engagement patterns from 12 posts with timestamps.
AI-Powered Analysis Summary
Key insights and performance highlights based on @danielbedingfld's recent content
@danielbedingfld's engagement rate of 0.55% is low compared to similar accounts. This indicates a low level of audience interaction and content effectiveness.
Content strategy is 92% focused on videos, which appears to be the strongest performing format for this profile.
Posting consistency is medium with an average interval of 6 days between posts. medium frequency typically leads to better audience retention.
Best performing video generated 6.4x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a minimal approach with an average of 121 characters. This minimal style aligns well with audience expectations for this account type.
This analysis is generated from publicly available data and provides estimated insights. Actual performance metrics may vary.
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Important Notice
All insights shown here are estimated using publicly available data. This tool is not affiliated with Instagram or Meta and does not access private information. Analytics are provided for informational purposes only and may not reflect actual account performance.