Adam Brown's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 70 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

How consistently emoji pair with specific words
signature
57x more
Proportion of emoji that appear multiple times
signature
77x more
How often the same emoji repeats across the post
signature
20x more
Count of sentences starting with pronouns
signature
7x more
See example from 31 Oct 2025
Average number of emoji appearing together in clusters
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27x more
Total count of repeated emoji across the post
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20x more
Emoji used to replace words entirely
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14x more

Does Less Of...

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

Closing length relative to total post
3x less
Hook length relative to total post
3x less
Where LinkedIn's 'see more' cuts off
3x 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 your posts pair emoji with specific words 57 times more than the average LinkedIn author. Not only that - the same emoji repeat across your posts 20x more than most, and a whopping 77x more of your emoji show up again and again. You’re not just sprinkling emoji for effect. You’ve built a secret language: every time your reader sees 🔥 or 🚀, they know exactly what you mean - because you’ve trained them.

Why does it work? Readers instantly recognize your signals in a feed full of white noise. Emoji clusters - which you use 27x more densely than average - create visual cues and brand your voice in a split second. Now try briefing this to a ghostwriter. Tell them to repeat the same emoji in exactly the same places, matching them to specific words, every time. Impossible. It’s not a style guide. This is muscle memory in your thumbs.

You post less than once a week - just 0.7 times - but your fingerprint is unmistakable. 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

11 Dec 2023 - 13 Nov 2025

0.7 posts/week avg
37/101 active weeks
64 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 phrased as questions vs statements 41% HIGH VARIES
Whether CTAs are concentrated at the end of the post 23% HIGH VARIES
Whether CTAs include hashtags 1% of posts LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 14% TYPICAL VARIES
Whether CTAs include emoji 11% of posts TYPICAL VARIES
Whether any call-to-action exists 73% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 48% HIGH VARIES
Average emoji per line of text 66% HIGH VARIES
Average number of emoji appearing together in clusters 0.0 - 5.3 HIGH VARIES
Balance between positive and negative emoji 21% HIGH VARIES
Count of neutral/functional emoji 0.6 - 4.6 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 5.0 HIGH VARIES
Emoji count per 1000 words 0 - 71 HIGH VARIES
Emoji count relative to sentence count 46% HIGH VARIES
Emoji density in CTA sections 0 - 1429 HIGH VARIES
Emoji density in the hook section 0 - 146 HIGH VARIES
Emoji usage in the middle section of the post 0 - 35 HIGH VARIES
Emoji used to replace words entirely 50% HIGH STEADY
How consistently emoji pair with specific words 34% HIGH VARIES
How consistently the same emoji is used for bullets 5% HIGH VARIES
How often the same emoji repeats across the post 52% HIGH STEADY
Largest group of adjacent emoji 0.0 - 3.1 HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 1.1 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 1.5 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 5.3 HIGH VARIES
Number of emoji in the opening hook 0.0 - 3.6 HIGH VARIES
Percentage of emoji that are neutral/functional 79% HIGH STEADY
Percentage of emoji that are positive/celebratory 21% HIGH VARIES
Percentage of lines containing at least one emoji 22% HIGH STEADY
Percentage of lines that contain only emoji 2% HIGH VARIES
Proportion of emoji appearing in clusters 45% HIGH VARIES
Proportion of emoji that appear multiple times 42% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 6.1 HIGH VARIES
Total number of emoji in the post 0.0 - 3.8 HIGH VARIES
Whether emoji are used as bullet point markers 5% HIGH VARIES
Whether the post starts with an emoji 20% HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Number of different emoji types used 0.0 - 1.0 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 14% TYPICAL VARIES
Variety of different emoji used as bullets 1% TYPICAL VARIES
Whether any emoji are used in the post 29% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 26% HIGH VARIES
Ratio of negative to positive contractions 100:1 HIGH VARIES
Count of positive contractions used 27% LOW VARIES
Percentage of words that are contractions 38% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 23% LOW VARIES
Number of different contraction types 49% TYPICAL VARIES
Total number of contractions 53% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 15% TYPICAL VARIES
Variety of different contractions used 30% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-9 per 1k words HIGH VARIES
Variety of function words used 55% HIGH STEADY
Usage of 'at' per 1000 words 0-8 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 160 - 241 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 30 TYPICAL STEADY
Usage of 'and' per 1000 words 18 - 53 TYPICAL STEADY
Usage of 'as' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 1 - 22 TYPICAL STEADY
Usage of 'of' per 1000 words 5 - 25 TYPICAL STEADY
Usage of 'on' per 1000 words 0-14 per 1k words TYPICAL STEADY
Usage of 'so' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-18 per 1k words TYPICAL STEADY
Usage of 'the' per 1000 words 22 - 60 TYPICAL STEADY
Usage of 'to' per 1000 words 12 - 47 TYPICAL STEADY
Usage of 'which' per 1000 words 0-2 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-16 per 1k words TYPICAL VARIES
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 10 - 16 HIGH STEADY
Proportion of all-lowercase hashtags 91% HIGH STEADY
Proportion of hashtags placed at the end 94% HIGH STEADY
Total number of hashtags 3.4 - 5.6 HIGH STEADY
Whether any hashtags are used 99% of posts HIGH STEADY
Proportion of hashtags in ALL CAPS 1% LOW VARIES
Proportion of hashtags in the opening 3% LOW VARIES
Proportion of hashtags using CamelCase 8% LOW VARIES
Ratio of inline hashtags to end hashtags 4% LOW VARIES
Whether the opening line contains a hashtag 9% LOW VARIES
Hashtag density per 100 words 0.3 - 6.3 TYPICAL STEADY
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.4 HIGH VARIES
Whether there's a clear opening hook section 91% of posts HIGH STEADY
ALL CAPS words in the hook 1% LOW VARIES
Hook length relative to total post 28% LOW STEADY
Hook lines relative to total lines 25% LOW STEADY
Where LinkedIn's 'see more' cuts off 28% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 141 - 364 TYPICAL STEADY
Character position where the hook ends 141 - 364 TYPICAL STEADY
Negation words in the hook 0.0 - 0.9 TYPICAL VARIES
Use of 'you/your' in the hook 2% TYPICAL VARIES
Whether the hook contains a question 20% of posts TYPICAL VARIES
Whether the hook contains emoji 13% of posts TYPICAL VARIES
Whether there's a blank line after the hook 21% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.4 - 2.6 HIGH STEADY
Blank lines per 100 total lines 37 - 51 HIGH STEADY
Number of visual text blocks 6 - 15 HIGH STEADY
Percentage of single-word lines 3% HIGH VARIES
Predictability of line length pattern Fairly consistent HIGH STEADY
Proportion of blank space 44% HIGH STEADY
Spacing between content-rich lines 1.6 - 2.2 HIGH STEADY
Ratio of lines starting with ALL CAPS 1% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 49 - 170 TYPICAL STEADY
Average lines per text block 0.9 - 1.3 TYPICAL STEADY
Average words per line 8 - 29 TYPICAL STEADY
Lines containing exactly one sentence 59% TYPICAL STEADY
Percentage of very short lines (<5 words) 17% TYPICAL STEADY
Ratio of lines starting with numbers 1% TYPICAL VARIES
Variation in block sizes 44% TYPICAL VARIES
Variation in line lengths 0 - 739 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 6% LOW VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Number of dash/bullet list sections ~0.0 LOW STEADY
Number of emoji bullet list sections 0.0 - 0.1 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 6% of posts LOW VARIES
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 1% of posts LOW VARIES
Consistency of numbered list formatting 4% TYPICAL VARIES
Nesting depth of numbered lists 11% TYPICAL VARIES
Number of numbered list sections 0.0 - 0.2 TYPICAL VARIES
Use of inline enumeration 1% TYPICAL VARIES
Whether numbered lists are used 4% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Count of words used only once 57 - 120 HIGH STEADY
How often three-word phrases repeat 0.0 - 5.7 HIGH VARIES
How often two-word phrases repeat 3 - 15 HIGH STEADY
Length of longest repeated phrase 1.5 - 4.6 HIGH STEADY
Number of unique words used 71 - 163 HIGH STEADY
Common idioms and expressions per 1000 words 4% LOW VARIES
Count of idiomatic expressions 0.0 - 0.1 TYPICAL VARIES
Percentage of words used only once 78% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 68% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-1.2 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.5 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-2.0 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-2.1 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.9 per post HIGH VARIES
Count of sentences starting with pronouns 0.9-7.5 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-2.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-1.4 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 82% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% HIGH VARIES
Sentences starting with And, But, Or, So (%) 5% HIGH STEADY
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 8 - 37 HIGH STEADY
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Sentences starting with -ing verbs (%) 4% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.6 HIGH VARIES
Whether the closing has a signature phrase 37% of posts HIGH VARIES
Whether the closing has emoji clusters 7% HIGH VARIES
Whether the ending includes hashtags 99% of posts HIGH STEADY
Whether the ending is a question 51% HIGH STEADY
ALL CAPS words in the closing 1% LOW STEADY
Closing length relative to total post 28% LOW STEADY
Whether the ending has a call-to-action 17% of posts LOW VARIES
Character length of the closing 79 - 404 TYPICAL STEADY
Whether the ending includes emoji 13% of posts TYPICAL VARIES
Whether there's a clear closing section 99% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.0 - 3.7 HIGH VARIES
Consecutive long paragraphs 44% HIGH VARIES
Consecutive short paragraphs 1.9 - 8.7 HIGH STEADY
How much paragraph length varies 0 - 28 HIGH VARIES
Opening paragraph length vs body average 1% HIGH VARIES
Total number of paragraphs 5 - 14 HIGH STEADY
Variation in length changes between paragraphs 0 - 25 HIGH VARIES
Average sentences per paragraph 0.6 - 3.7 TYPICAL STEADY
Average sentences per paragraph 0.6 - 3.7 TYPICAL STEADY
Closing paragraph length vs body average 66% TYPICAL VARIES
How frequently new paragraphs start 30 - 91 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 0.0 - 7.0 TYPICAL VARIES
Typical paragraph length (median) 0.7 - 2.7 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 7% 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 7% TYPICAL STEADY
Percentage of words that are nouns 20 - 30 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 7 - 15 TYPICAL STEADY
Percentage of words that are verbs 12 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 12 - 44 HIGH STEADY
Total sentence count 9 - 26 HIGH STEADY
Total syllables in the post 148 - 435 HIGH STEADY
Total word count of the post 94 - 277 HIGH STEADY
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
How easy the text is to read (higher = easier) 49 - 75 TYPICAL STEADY
Percentage of complex words (3+ syllables) 10 - 21 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-29 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-2 per 1k words HIGH VARIES
Multiple question marks per 1000 words 0-10 per 1k words HIGH VARIES
Percentage of sentences ending with a question 0 - 22 HIGH VARIES
Percentage of sentences trailing off with ellipsis 8% HIGH VARIES
Question marks per 1000 words 0-40 per 1k words HIGH VARIES
Colon usage per 1000 words 0-8 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-2 per 1k words LOW VARIES
En dash (–) usage per 1000 words 0-1 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-29 per 1k words LOW VARIES
Multiple exclamation marks per 1000 words 0-3 per 1k words LOW VARIES
Parentheses usage per 1000 words 0-4 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 9% LOW VARIES
Quotation mark usage per 1000 words 0-3 per 1k words LOW VARIES
Semicolon usage per 1000 words 0-1 per 1k words LOW VARIES
Comma usage per 1000 words 21-79 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-21 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 29 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 50 LOW VARIES
Lines using past tense 30% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.4 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.4 TYPICAL VARIES
Use of story transitions 8% TYPICAL VARIES
Whether the post contains quotations 40% of posts TYPICAL VARIES
Whether the post tells a story 46% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your shorter sentences (20th percentile) 2.5 - 8.0 LOW STEADY
Overall sentence complexity 8 - 35 LOW STEADY
Parenthetical breaks per 1000 words 0-5 per 1k words LOW VARIES
Percentage of sentences over 20 words 14% LOW VARIES
Word count of shortest sentence 0.1 - 5.0 LOW STEADY
Average number of clauses per sentence 1.3 - 2.3 TYPICAL STEADY
Average number of words per sentence 7 - 15 TYPICAL STEADY
Average words per sentence 7 - 15 TYPICAL STEADY
How much sentence length varies (normalized) 69% TYPICAL STEADY
How often paragraphs contain just one sentence 52% TYPICAL STEADY
Length of your longer sentences (80th percentile) 10 - 24 TYPICAL STEADY
Percentage of sentences under 8 words 43% TYPICAL STEADY
Typical sentence length (median) 5 - 14 TYPICAL STEADY
Variation in clause count across sentences 0.2 - 2.1 TYPICAL STEADY
Variation in sentence lengths 5 - 10 TYPICAL STEADY
Word count of the longest sentence 18 - 38 TYPICAL STEADY

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