Charlotte Laing's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 54 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 emoji that are neutral/functional
signature
6x more
See example from 20 Mar 2025
Proportion of hashtags placed at the end
signature
4x more
Variety of different emoji used (unique/total ratio)
consistent
4x more
Whether any emoji are used in the post
consistent
4x more
See example from 20 Mar 2025
Blank lines per 100 total lines
consistent
2.0x more
Proportion of blank space
consistent
2.0x more
Average character length of hashtags
consistent
3x more

Does Less Of...

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

Hook length relative to total post
1.5x less
Where LinkedIn's 'see more' cuts off
1.5x less
Closing length relative to total post
consistent
1.5x less
Unique words divided by total words
consistent
1.2x less
Percentage of words used only once
consistent
1.1x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you use neutral, functional emoji in your posts six times more often than the average LinkedIn author. Not just more emoji overall, but specifically those understated icons that clarify or organize - not just decorate. It’s not just a quirk: you’re orchestrating a silent visual language most people don’t even notice, let alone master.

It works because it signals precision and intent. Readers immediately sense that your posts are structured - hashtags lined up neatly at the end, clear breaks between ideas, and an unusually wide variety of emoji, but always in service of clarity. Now try briefing this to a ghostwriter: “Use functional emoji in 24% of posts, but never for flair. Keep hooks and closings 1.5x shorter than average. Oh, and double the blank lines.” They’d think you’ve lost it. This isn’t a checklist - it’s muscle memory. You couldn’t reverse-engineer it if you tried.

You post less than once a week, yet your presence is unmistakable - not despite the frequency, but because of these invisible fingerprints. 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.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

17 May 2023 - 20 Mar 2025

0.6 posts/week avg
38/97 active weeks
59 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Average position of CTAs in the post Upper half HIGH STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 17% HIGH VARIES
Whether CTAs are concentrated at the end of the post 13% HIGH VARIES
Whether CTAs include emoji 32% of posts HIGH VARIES
Whether CTAs include hashtags 0% of posts LOW STEADY
CTAs phrased as questions vs statements 5% TYPICAL VARIES
Whether any call-to-action exists 63% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 46% HIGH STEADY
Average number of emoji appearing together in clusters 34% HIGH VARIES
Balance between positive and negative emoji 13% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.4 HIGH VARIES
Count of neutral/functional emoji 0.1 - 5.5 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 0.9 HIGH VARIES
Emoji count per 1000 words 0 - 43 HIGH VARIES
Emoji count relative to sentence count 62% HIGH VARIES
Emoji density in CTA sections 0 - 95 HIGH VARIES
Emoji density in the hook section 2 - 56 HIGH STEADY
Emoji usage in the middle section of the post 0 - 39 HIGH VARIES
Emoji used to replace words entirely 21% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How consistently the same emoji is used for bullets 5% HIGH VARIES
How often the same emoji repeats across the post 7% HIGH VARIES
Largest group of adjacent emoji 34% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 1.7 HIGH VARIES
Number of different emoji types used 0.2 - 4.2 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.6 HIGH VARIES
Number of emoji in call-to-action lines 0.1 - 1.6 HIGH STEADY
Number of emoji in the opening hook 0.3 - 2.6 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 3% HIGH VARIES
Percentage of emoji that are negative/warning 2% HIGH VARIES
Percentage of emoji that are neutral/functional 83% HIGH STEADY
Percentage of emoji that are positive/celebratory 15% HIGH VARIES
Percentage of lines containing at least one emoji 40% HIGH STEADY
Proportion of emoji appearing in clusters 8% HIGH VARIES
Proportion of emoji that appear multiple times 2% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.9 HIGH VARIES
Total number of emoji in the post 0.0 - 5.3 HIGH VARIES
Variety of different emoji used (unique/total ratio) 76% HIGH STEADY
Variety of different emoji used as bullets 3% HIGH VARIES
Whether any emoji are used in the post 82% of posts HIGH STEADY
Whether emoji are used as bullet point markers 7% HIGH VARIES
Whether the post starts with an emoji 14% HIGH VARIES
Average distance between repeated emoji 3% LOW VARIES
Percentage of lines that contain only emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 83% HIGH VARIES
Count of negative contractions used 7% LOW VARIES
Ratio of negative to positive contractions 19:1 LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Number of different contraction types 78% TYPICAL VARIES
Percentage of words that are contractions 74% TYPICAL VARIES
Total number of contractions 91% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 68% TYPICAL VARIES
Variety of different contractions used 37% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'but' per 1000 words 0-11 per 1k words HIGH VARIES
Usage of 'so' per 1000 words 0-8 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0 - 20 HIGH STEADY
Usage of 'to' per 1000 words 20 - 69 HIGH STEADY
Usage of 'which' per 1000 words 0-5 per 1k words HIGH VARIES
Variety of function words used 56% HIGH STEADY
Usage of 'as' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 195 - 277 TYPICAL STEADY
Usage of 'a' per 1000 words 6 - 41 TYPICAL STEADY
Usage of 'and' per 1000 words 15 - 47 TYPICAL STEADY
Usage of 'at' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'because' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 2 - 26 TYPICAL STEADY
Usage of 'if' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 8 - 34 TYPICAL STEADY
Usage of 'on' per 1000 words 0-16 per 1k words TYPICAL STEADY
Usage of 'the' per 1000 words 20 - 65 TYPICAL STEADY
Usage of 'who' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-15 per 1k words TYPICAL VARIES
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 15 HIGH STEADY
Proportion of hashtags in ALL CAPS 13% HIGH VARIES
Proportion of hashtags placed at the end 89% HIGH STEADY
Proportion of hashtags using CamelCase 59% HIGH STEADY
Proportion of hashtags woven into the text 9% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 227 HIGH VARIES
Hashtag density per 100 words 91% LOW VARIES
Proportion of hashtags in the opening 2% LOW VARIES
Whether the opening line contains a hashtag 4% LOW VARIES
Proportion of all-lowercase hashtags 28% TYPICAL VARIES
Total number of hashtags 0.0 - 2.8 TYPICAL VARIES
Whether any hashtags are used 44% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.0 HIGH VARIES
Number of emoji in the hook 0.0 - 2.2 HIGH VARIES
Whether the hook contains a question 32% of posts HIGH VARIES
Whether the hook contains emoji 65% of posts HIGH STEADY
Whether the hook starts with a conjunction 4% HIGH VARIES
Whether there's a blank line after the hook 28% HIGH VARIES
Whether there's a clear opening hook section 63% of posts HIGH STEADY
ALL CAPS words in the hook 1% LOW VARIES
Hook length relative to total post 47% LOW STEADY
Hook lines relative to total lines 45% LOW STEADY
Use of 'you/your' in the hook 1% LOW VARIES
Where LinkedIn's 'see more' cuts off 47% LOW STEADY
Character count of the hook 209 - 371 TYPICAL STEADY
Character position where the hook ends 209 - 371 TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.3 - 2.7 HIGH STEADY
Blank lines per 100 total lines 37 - 49 HIGH STEADY
Number of visual text blocks 3.5 - 9.8 HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 43% HIGH STEADY
Spacing between content-rich lines 1.8 - 2.1 HIGH STEADY
Percentage of single-word lines 0% LOW STEADY
Ratio of lines starting with ALL CAPS 1% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 28% LOW VARIES
Average characters per line 80 - 149 TYPICAL STEADY
Average lines per text block 0.8 - 1.4 TYPICAL STEADY
Average words per line 14 - 27 TYPICAL STEADY
Lines containing exactly one sentence 70% TYPICAL STEADY
Percentage of very short lines (<5 words) 12% TYPICAL STEADY
Ratio of lines starting with numbers 1% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Variation in line lengths 50 - 330 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 22% HIGH VARIES
Use of inline enumeration 1% HIGH VARIES
Variety of emoji used as bullets 2% HIGH VARIES
Whether emoji bullet lists are used 6% of posts HIGH VARIES
Average items per dash/bullet list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Number of dash/bullet list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Consistency of numbered list formatting 4% TYPICAL VARIES
Nesting depth of numbered lists 13% TYPICAL VARIES
Number of emoji bullet list sections 0.0 - 0.3 TYPICAL VARIES
Number of numbered list sections 0.0 - 0.2 TYPICAL VARIES
Whether any list structure is used 9% of posts TYPICAL VARIES
Whether numbered lists are used 4% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Count of idiomatic expressions 0.0 - 0.4 HIGH VARIES
Count of words used only once 43 - 106 HIGH STEADY
How often two-word phrases repeat 1 - 11 HIGH STEADY
Length of longest repeated phrase 0.7 - 3.7 HIGH STEADY
Number of unique words used 52 - 141 HIGH STEADY
Common idioms and expressions per 1000 words 18% TYPICAL VARIES
How often three-word phrases repeat 0.0 - 3.0 TYPICAL VARIES
Percentage of words used only once 79% TYPICAL STEADY
Ratio of meaningful words to grammatical words 3% TYPICAL STEADY
Unique words divided by total words 71% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.4 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.4 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-2.4 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-1.1 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.6 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.7 per post HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 6% HIGH VARIES
Sentences starting with And, But, Or, So (%) 10% HIGH VARIES
Sentences starting with adverbs (%) 9% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 1 - 36 HIGH STEADY
Sentences starting with subordinate clauses (%) 7% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 57% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.9 HIGH VARIES
Whether the closing has emoji clusters 4% HIGH VARIES
Whether the ending includes emoji 59% of posts HIGH STEADY
ALL CAPS words in the closing 1% LOW VARIES
Closing length relative to total post 50% LOW STEADY
Character length of the closing 204 - 434 TYPICAL STEADY
Whether the closing has a signature phrase 20% of posts TYPICAL VARIES
Whether the ending has a call-to-action 44% of posts TYPICAL VARIES
Whether the ending includes hashtags 41% of posts TYPICAL VARIES
Whether the ending is a question 18% TYPICAL VARIES
Whether there's a clear closing section 98% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 88% HIGH STEADY
Consecutive short paragraphs 2.4 - 8.4 HIGH STEADY
Total number of paragraphs 3.4 - 9.8 HIGH STEADY
Consecutive long paragraphs 4% LOW VARIES
How much paragraph length varies 48% LOW VARIES
Typical paragraph length (median) 0.8 - 1.6 LOW STEADY
Variation in length changes between paragraphs 46% LOW VARIES
Average change in length between paragraphs 58% TYPICAL STEADY
Average sentences per paragraph 1.1 - 1.8 TYPICAL STEADY
Average sentences per paragraph 1.1 - 1.8 TYPICAL STEADY
How frequently new paragraphs start 32 - 68 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.2 - 2.8 TYPICAL STEADY
Opening paragraph length vs body average 81% TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Balance/distribution of different word types Moderately varied TYPICAL STEADY
Percentage of auxiliary/helper verbs 6% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 8% TYPICAL STEADY
Percentage of words that are nouns 16 - 26 TYPICAL STEADY
Percentage of words that are prepositions 7 - 16 TYPICAL STEADY
Percentage of words that are pronouns 10% TYPICAL STEADY
Percentage of words that are verbs 10 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total syllables in the post 97 - 343 HIGH STEADY
Total word count of the post 64 - 230 HIGH STEADY
Average word complexity (syllables per word) 1.4 - 1.6 TYPICAL STEADY
Count of complex words (3+ syllables) 7 - 29 TYPICAL STEADY
How easy the text is to read (higher = easier) 45 - 71 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 16 TYPICAL STEADY
Total sentence count 3 - 13 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-6 per 1k words HIGH VARIES
Percentage of sentences ending with a question 10% HIGH VARIES
Colon usage per 1000 words 0-20 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-3 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-24 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words 0-4 per 1k words LOW VARIES
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Quotation mark usage per 1000 words 0-2 per 1k words LOW VARIES
Semicolon usage per 1000 words 0-1 per 1k words LOW VARIES
Comma usage per 1000 words 16-50 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-5 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-23 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-9 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 35 TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 2% TYPICAL VARIES
Question marks per 1000 words 0-14 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Number of narrative/story signals 0.9 - 2.8 HIGH STEADY
Presence of dialogue attribution patterns 1% HIGH STEADY
Whether the post tells a story 63% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Average length of quoted passages 0 - 95 TYPICAL VARIES
Lines using past tense 44% TYPICAL STEADY
Number of quotation blocks 0.0 - 1.5 TYPICAL VARIES
Total characters in quoted content 0 - 97 TYPICAL VARIES
Use of story transitions 10% TYPICAL VARIES
Whether the post contains quotations 54% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your longer sentences (80th percentile) 17 - 49 HIGH STEADY
Overall sentence complexity 18 - 104 HIGH STEADY
Percentage of sentences over 20 words 43% HIGH STEADY
Parenthetical breaks per 1000 words 0-10 per 1k words LOW VARIES
Percentage of sentences under 8 words 14% LOW VARIES
Average number of clauses per sentence 1.8 - 3.5 TYPICAL STEADY
Average number of words per sentence 13 - 29 TYPICAL STEADY
Average words per sentence 13 - 29 TYPICAL STEADY
How much sentence length varies (normalized) 57% TYPICAL STEADY
How often paragraphs contain just one sentence 68% TYPICAL STEADY
Length of your shorter sentences (20th percentile) 5 - 19 TYPICAL STEADY
Typical sentence length (median) 11 - 28 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.3 TYPICAL VARIES
Variation in sentence lengths 6 - 18 TYPICAL STEADY
Word count of shortest sentence 0 - 16 TYPICAL STEADY
Word count of the longest sentence 23 - 54 TYPICAL STEADY

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