Kirsty Smith (Hutson)'s AuthorDNA

The writing patterns that make your content uniquely yours

Based on 48 posts analyzed

What is AuthorDNA?

AuthorDNA is a hidden linguistic profile - the subconscious patterns and habits unique to how someone writes. We analyze posts across 243 style metrics specific to B2B social content and compare them to thousands of other authors.

These are the markers most people don't even notice - but they're what makes writing sound authentic.

Does More Of...

Patterns you use more often than typical LinkedIn authors

Percentage of lines containing at least one emoji
signature ↑ increasing
6x more
Number of emoji in the opening hook
signature ↑ increasing
8x more
Percentage of emoji that are neutral/functional
signature ↑ increasing
5x more
See example from 11 Nov 2025
Emoji count relative to sentence count
signature ↑ increasing
9x more
Average emoji per line of text
signature ↑ increasing
6x more
Number of emoji in call-to-action lines
↑ increasing
6x more
Average character length of hashtags
consistent
2x more

Does Less Of...

Patterns you use less often - that's part of your style too!

Consecutive long paragraphs
consistent
rarely
Whether any list structure is used
consistent
rarely
Number of visual text blocks
2x less
Total number of paragraphs
consistent
2.0x less
Total syllables in the post
1.8x less
Number of unique words used
consistent
1.7x less
Count of words used only once
consistent
1.6x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts contain 9 times more emoji per sentence than the average LinkedIn writer. Not only that, but you pack 8 times more emoji than average right into your opening hook. It's not just decoration - 5 times more of your emoji are neutral or functional, not just expressive. You're not just using emoji for fun - they're your punctuation, your bullet points, your unspoken context. No one else is doing it quite like this.

Why does it work? Emoji become your voice's secret handshake - a visual rhythm that signals you're approachable, direct, and a little irreverent. Try briefing this to a ghostwriter: "Use 6 times more emoji per line than LinkedIn's average, but keep them mostly neutral, and stack them up front." They'd think you've lost it. This isn't a method - it's muscle memory. You couldn't reverse-engineer it if you tried.

You post less than once a week, but when you do, the difference is instantly felt - stripped-down paragraphs, rarely a list, emoji everywhere. This is exactly what Drumbeat captures - the patterns you can't articulate but your audience feels. Your company's message, in each team member's authentic voice, at scale.

Style Evolution

How your writing has changed (Apr 2018 - Nov 2025)

Recent 3 posts since Dec 2023
vs
Earlier 45 posts before Dec 2023
Opening hashtags Stopped (was 62%, now rarely)
Stopped
Emoji usage Increasing (20% β†’ 33%)
More

Style patterns based on 48 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

09 Apr 2018 - 05 Nov 2025

0.1 posts/week avg
29/396 active weeks
367 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs using command verbs (Click, Share, Comment, etc.) 19% HIGH VARIES
Whether CTAs include emoji 21% of posts HIGH VARIES
Whether CTAs include hashtags 29% of posts HIGH VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs phrased as questions vs statements 8% TYPICAL VARIES
Whether any call-to-action exists 65% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 70% HIGH STEADY
Average number of emoji appearing together in clusters 60% HIGH VARIES
Balance between positive and negative emoji 17% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.3 HIGH VARIES
Count of neutral/functional emoji 0.7 - 3.1 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.3 HIGH VARIES
Emoji count per 1000 words 0 - 43 HIGH VARIES
Emoji count relative to sentence count 82% HIGH STEADY
Emoji density in CTA sections 9 - 123 HIGH STEADY
Emoji density in the hook section 19 - 78 HIGH STEADY
Emoji used to replace words entirely 22% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
Largest group of adjacent emoji 60% HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.7 HIGH VARIES
Number of emoji in call-to-action lines 0.5 - 1.7 HIGH STEADY
Number of emoji in the opening hook 0.8 - 3.0 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 5% HIGH VARIES
Percentage of emoji that are negative/warning 2% HIGH VARIES
Percentage of emoji that are neutral/functional 79% HIGH STEADY
Percentage of emoji that are positive/celebratory 19% HIGH VARIES
Percentage of lines containing at least one emoji 52% HIGH STEADY
Percentage of lines that contain only emoji 2% HIGH VARIES
Proportion of emoji appearing in clusters 16% HIGH VARIES
Proportion of emoji that appear multiple times 7% HIGH VARIES
Variety of different emoji used (unique/total ratio) 29% HIGH VARIES
Whether any emoji are used in the post 31% of posts HIGH VARIES
Whether the post starts with an emoji 27% HIGH VARIES
How consistently the same emoji is used for bullets 0% LOW STEADY
How often the same emoji repeats across the post 1% LOW VARIES
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Total count of repeated emoji across the post 0.0 - 0.3 LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Average distance between repeated emoji 7% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji usage in the middle section of the post 3% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.9 TYPICAL VARIES
Total number of emoji in the post 0.0 - 2.1 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 2% LOW VARIES
Count of positive contractions used 17% LOW VARIES
Number of different contraction types 19% LOW VARIES
Percentage of words that are contractions 34% LOW VARIES
Ratio of negative to positive contractions 1:48 LOW VARIES
Total number of contractions 19% LOW VARIES
Usage of negative contractions (don't, won't, can't) 2% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 32% LOW VARIES
Variety of different contractions used 12% LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'by' per 1000 words 0-16 per 1k words HIGH VARIES
Usage of 'a' per 1000 words 0 - 31 LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-15 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-3 per 1k words LOW VARIES
Overall grammatical word usage 135 - 246 TYPICAL STEADY
Usage of 'and' per 1000 words 8 - 60 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-26 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'on' per 1000 words 0-24 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 3 - 60 TYPICAL STEADY
Usage of 'to' per 1000 words 5 - 64 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-24 per 1k words TYPICAL VARIES
Variety of function words used 27% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 15 HIGH STEADY
Hashtag density per 100 words 2 - 12 HIGH STEADY
Proportion of all-lowercase hashtags 54% HIGH STEADY
Proportion of hashtags in ALL CAPS 7% HIGH VARIES
Proportion of hashtags in the opening 51% HIGH STEADY
Proportion of hashtags placed at the end 37% HIGH VARIES
Proportion of hashtags using CamelCase 39% HIGH VARIES
Proportion of hashtags woven into the text 12% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 307 HIGH VARIES
Total number of hashtags 0.6 - 4.5 HIGH STEADY
Whether any hashtags are used 83% of posts HIGH STEADY
Whether the opening line contains a hashtag 70% HIGH STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.5 HIGH VARIES
Whether the hook contains emoji 25% of posts HIGH VARIES
Negation words in the hook 0.0 - 0.2 LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a clear opening hook section 6% of posts LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 138 - 338 TYPICAL STEADY
Character position where the hook ends 138 - 338 TYPICAL STEADY
Hook length relative to total post 90% TYPICAL STEADY
Hook lines relative to total lines 81% TYPICAL STEADY
Use of 'you/your' in the hook 1% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 90% TYPICAL STEADY
Whether the hook contains a question 23% of posts TYPICAL VARIES
Whether there's a blank line after the hook 15% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 41% LOW VARIES
Blank lines per 100 total lines 0 - 28 LOW VARIES
Number of visual text blocks 0.5 - 2.6 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Proportion of blank space 11% LOW VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Variation in block sizes 6% LOW VARIES
Average characters per line 61 - 258 TYPICAL STEADY
Average lines per text block 0.7 - 2.1 TYPICAL STEADY
Average words per line 9 - 39 TYPICAL STEADY
Lines containing exactly one sentence 45% TYPICAL STEADY
Percentage of very short lines (<5 words) 14% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Ratio of lines starting with quotes 1% TYPICAL VARIES
Spacing between content-rich lines 85% TYPICAL STEADY
Variation in line lengths 0 - 692 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 0% LOW STEADY
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 0% LOW STEADY
Nesting depth of numbered lists 0% LOW STEADY
Number of dash/bullet list sections ~0.0 LOW STEADY
Number of emoji bullet list sections ~0.0 LOW STEADY
Number of numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 0% of posts LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 18 - 45 LOW STEADY
How often three-word phrases repeat 10% LOW VARIES
How often two-word phrases repeat 0.0 - 4.8 LOW VARIES
Length of longest repeated phrase 67% LOW VARIES
Number of unique words used 19 - 53 LOW STEADY
Percentage of words used only once 89% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 87% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with subordinate clauses 0.0-0.5 per post HIGH VARIES
Sentences starting with subordinate clauses (%) 3% HIGH VARIES
Sentences starting with time words (%) 1% HIGH VARIES
Count of sentences starting with adverbs 0.0-0.3 per post LOW VARIES
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Count of sentences starting with discourse markers ~0.0 per post TYPICAL STEADY
Count of sentences starting with pronouns 0.0-1.3 per post TYPICAL VARIES
Count of sentences starting with time words 0.0-0.2 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 52% TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with adverbs (%) 2% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 37 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.7 HIGH VARIES
Whether the closing has emoji clusters 8% HIGH VARIES
Whether the ending includes emoji 31% of posts HIGH VARIES
Whether the ending includes hashtags 81% of posts HIGH STEADY
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 124 - 383 TYPICAL STEADY
Closing length relative to total post 93% TYPICAL STEADY
Whether the closing has a signature phrase 12% of posts TYPICAL VARIES
Whether the ending has a call-to-action 33% of posts TYPICAL VARIES
Whether the ending is a question 23% TYPICAL VARIES
Whether there's a clear closing section 60% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 85% HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
Consecutive short paragraphs 0.2 - 2.7 LOW STEADY
How much paragraph length varies 59% LOW VARIES
Total number of paragraphs 0.9 - 3.0 LOW STEADY
Variation in length changes between paragraphs 13% LOW VARIES
Average change in length between paragraphs 70% TYPICAL VARIES
Average sentences per paragraph 1.1 - 2.8 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.8 TYPICAL STEADY
How frequently new paragraphs start 18 - 90 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 3.2 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.8 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are adverbs 2% LOW VARIES
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of auxiliary/helper verbs 4% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 17 - 33 TYPICAL STEADY
Percentage of words that are prepositions 7 - 16 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 7 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
How easy the text is to read (higher = easier) 11 - 62 LOW STEADY
Total sentence count 1.5 - 4.4 LOW STEADY
Total syllables in the post 33 - 122 LOW STEADY
Total word count of the post 19 - 67 LOW STEADY
Average word complexity (syllables per word) 1.6 - 2.1 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 16 TYPICAL STEADY
Percentage of complex words (3+ syllables) 14 - 32 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-6 per 1k words HIGH VARIES
Colon usage per 1000 words 0-33 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-4 per 1k words LOW VARIES
Em dash (β€”) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-28 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Parentheses usage per 1000 words 0-4 per 1k words LOW VARIES
Percentage of sentences trailing off with ellipsis 35% LOW VARIES
Quotation mark usage per 1000 words 0-10 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 0-61 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-27 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 8% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 35 TYPICAL VARIES
Question marks per 1000 words 0-28 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Number of quotation blocks 0.0 - 0.7 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 103 LOW VARIES
Whether the post contains quotations 23% of posts LOW VARIES
Average length of quoted passages 0 - 103 TYPICAL VARIES
Lines starting with quotation marks 1% TYPICAL VARIES
Lines using past tense 36% TYPICAL VARIES
Number of narrative/story signals 0.1 - 1.7 TYPICAL STEADY
Use of story transitions 12% TYPICAL VARIES
Whether the post tells a story 25% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-5 per 1k words LOW VARIES
Variation in clause count across sentences 77% LOW VARIES
Average number of clauses per sentence 1.2 - 3.0 TYPICAL STEADY
Average number of words per sentence 8 - 25 TYPICAL STEADY
Average words per sentence 8 - 25 TYPICAL STEADY
How much sentence length varies (normalized) 56% TYPICAL STEADY
How often paragraphs contain just one sentence 44% TYPICAL STEADY
Length of your longer sentences (80th percentile) 13 - 32 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 0 - 19 TYPICAL STEADY
Overall sentence complexity 3 - 77 TYPICAL STEADY
Percentage of sentences over 20 words 27% TYPICAL VARIES
Percentage of sentences under 8 words 27% TYPICAL VARIES
Typical sentence length (median) 7 - 25 TYPICAL STEADY
Variation in sentence lengths 2 - 13 TYPICAL STEADY
Word count of shortest sentence 0 - 19 TYPICAL STEADY
Word count of the longest sentence 14 - 32 TYPICAL STEADY

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