Nick O'Connor's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 61 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 often the same emoji repeats across the post
signature ↑ increasing
17x more
Number of emoji in call-to-action lines
signature ↑ increasing
9x more
Proportion of all-lowercase hashtags
signature
4x more
Emoji density in CTA sections
↑ increasing
15x more
Emoji count relative to sentence count
distinctive ↑ increasing
8x more
Average emoji per line of text
consistent ↑ increasing
5x more
Number of emoji in the opening hook
↑ increasing
6x more

Does Less Of...

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

Whether CTAs are concentrated at the end of the post
consistent
rarely
Whether dash/bullet lists are used
consistent
rarely
Use of 'you/your' in the hook
consistent
2x less
Percentage of words that are pronouns
1.4x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you repeat the exact same emoji in a single post 17 times more often than the average LinkedIn writer. That's not just using emoji for emphasis - that's a signature beat your audience can't miss. It's the digital equivalent of pounding the table to make your point, again and again, until it lands.

Why does this work? It turns your calls to action into unmistakable rallying cries. A single emoji might be skimmed past, but your relentless repetition turns CTAs into anthems. Now imagine trying to brief this to a ghostwriter: "Make sure you use the same emoji 17x more than average, and stack them in my CTAs at 9x the norm." They'd think you were joking. But you couldn't stop doing it if you tried - it's not style, it's instinct.

And with a posting rhythm of just 0.2 times per week, every post has to hit hard. 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 (Sep 2018 - Oct 2025)

Recent 21 posts since Dec 2023
vs
Earlier 40 posts before Dec 2023
Opening hashtags Declining (42% → 14%)
Less
Emoji usage Increasing (2% → 24%)
More

Style patterns based on 61 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

19 Sep 2018 - 13 Oct 2025

0.2 posts/week avg
53/370 active weeks
317 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs include emoji 15% of posts HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 7% of posts LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 9% TYPICAL VARIES
Whether any call-to-action exists 49% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 18% HIGH VARIES
Average emoji per line of text 56% HIGH STEADY
Balance between positive and negative emoji 33% HIGH VARIES
Count of neutral/functional emoji 0.5 - 3.1 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.1 HIGH VARIES
Emoji count relative to sentence count 78% HIGH VARIES
Emoji density in CTA sections 48 - 321 HIGH STEADY
Emoji density in the hook section 9 - 37 HIGH STEADY
Emoji usage in the middle section of the post 0 - 90 HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How often the same emoji repeats across the post 44% HIGH STEADY
Number of emoji in call-to-action lines 0.7 - 2.6 HIGH STEADY
Number of emoji in the opening hook 0.6 - 2.2 HIGH STEADY
Percentage of emoji that are neutral/functional 67% HIGH STEADY
Percentage of emoji that are positive/celebratory 33% HIGH VARIES
Percentage of lines containing at least one emoji 36% HIGH STEADY
Total count of repeated emoji across the post 0.3 - 2.4 HIGH STEADY
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Number of different emoji types used 0.0 - 0.8 LOW VARIES
Number of emoji clusters (groups of adjacent 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
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji appearing in clusters 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Variety of different emoji used (unique/total ratio) 10% LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Whether the post starts with an emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 6% TYPICAL VARIES
Emoji used to replace words entirely 4% TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.7 TYPICAL VARIES
Whether any emoji are used in the post 18% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 30% LOW VARIES
Number of different contraction types 36% LOW VARIES
Percentage of words that are contractions 50% LOW VARIES
Ratio of negative to positive contractions 16:1 LOW VARIES
Total number of contractions 41% LOW VARIES
Usage of negative contractions (don't, won't, can't) 8% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 42% LOW VARIES
Count of negative contractions used 12% TYPICAL VARIES
Variety of different contractions used 19% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'but' per 1000 words 0-13 per 1k words HIGH VARIES
Usage of 'by' per 1000 words 0-16 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-6 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-18 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-6 per 1k words LOW VARIES
Overall grammatical word usage 160 - 266 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 37 TYPICAL VARIES
Usage of 'and' per 1000 words 9 - 48 TYPICAL STEADY
Usage of 'as' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 26 TYPICAL VARIES
Usage of 'if' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 28 TYPICAL VARIES
Usage of 'on' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 17 - 66 TYPICAL STEADY
Usage of 'to' per 1000 words 8 - 69 TYPICAL STEADY
Usage of 'with' per 1000 words 0-16 per 1k words TYPICAL VARIES
Variety of function words used 43% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 87% HIGH STEADY
Proportion of hashtags placed at the end 70% HIGH STEADY
Total number of hashtags 0.9 - 4.1 HIGH STEADY
Whether any hashtags are used 84% of posts HIGH STEADY
Whether the opening line contains a hashtag 39% HIGH VARIES
Proportion of hashtags using CamelCase 8% LOW VARIES
Ratio of inline hashtags to end hashtags 7% LOW VARIES
Hashtag density per 100 words 0.7 - 8.3 TYPICAL STEADY
Proportion of hashtags in ALL CAPS 5% TYPICAL VARIES
Proportion of hashtags in the opening 26% TYPICAL VARIES
Proportion of hashtags woven into the text 4% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether there's a blank line after the hook 39% HIGH VARIES
Number of emoji in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook contains emoji 5% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a clear opening hook section 16% of posts LOW VARIES
ALL CAPS words in the hook 3% TYPICAL VARIES
Character count of the hook 182 - 412 TYPICAL STEADY
Character position where the hook ends 182 - 412 TYPICAL STEADY
Hook length relative to total post 76% TYPICAL STEADY
Hook lines relative to total lines 57% TYPICAL STEADY
Negation words in the hook 0.0 - 1.0 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 76% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of single-word lines 4% HIGH VARIES
Percentage of very short lines (<5 words) 25% HIGH STEADY
Variation in line lengths 0 - 1098 HIGH VARIES
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 1% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 22% LOW VARIES
Average characters per line 65 - 263 TYPICAL STEADY
Average lines per text block 0.8 - 1.5 TYPICAL STEADY
Average spacing between blank lines 0.1 - 2.2 TYPICAL STEADY
Average words per line 11 - 43 TYPICAL STEADY
Blank lines per 100 total lines 10 - 45 TYPICAL STEADY
Lines containing exactly one sentence 48% TYPICAL STEADY
Number of visual text blocks 1.1 - 4.8 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 28% TYPICAL STEADY
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Spacing between content-rich lines 0.7 - 2.2 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 0% LOW STEADY
Average items per emoji list 5% LOW VARIES
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 - 0.1 LOW VARIES
Number of numbered list sections ~0.0 LOW STEADY
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 2% of posts LOW VARIES
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 2% of posts LOW VARIES
Whether numbered lists are used 0% of posts LOW STEADY
Use of inline enumeration 1% TYPICAL VARIES
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
How often three-word phrases repeat 29% LOW VARIES
Count of words used only once 25 - 74 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 6.2 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.4 TYPICAL VARIES
Number of unique words used 28 - 90 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 82% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-1.1 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.8 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-1.0 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.7 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.8 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with subordinate clauses (%) 3% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.1 per post LOW VARIES
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 55% TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 34 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.2 HIGH VARIES
Whether the ending includes hashtags 82% of posts HIGH STEADY
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending is a question 7% LOW VARIES
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 157 - 452 TYPICAL STEADY
Closing length relative to total post 77% TYPICAL STEADY
Whether the closing has a signature phrase 16% of posts TYPICAL VARIES
Whether the ending has a call-to-action 38% of posts TYPICAL VARIES
Whether the ending includes emoji 16% of posts TYPICAL VARIES
Whether there's a clear closing section 70% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.5 - 1.9 HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Variation in length changes between paragraphs 0.0 - 4.4 HIGH VARIES
Average sentences per paragraph 1.2 - 3.0 TYPICAL STEADY
Average sentences per paragraph 1.2 - 3.0 TYPICAL STEADY
Closing paragraph length vs body average 70% TYPICAL STEADY
Consecutive long paragraphs 13% TYPICAL VARIES
Consecutive short paragraphs 0.6 - 3.4 TYPICAL STEADY
How frequently new paragraphs start 20 - 68 TYPICAL STEADY
How much paragraph length varies 0.0 - 3.7 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.7 - 4.3 TYPICAL STEADY
Total number of paragraphs 1.2 - 4.9 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.8 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 5% TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 15 - 27 TYPICAL STEADY
Percentage of words that are prepositions 8 - 16 TYPICAL STEADY
Percentage of words that are pronouns 6% TYPICAL STEADY
Percentage of words that are verbs 8 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.9 TYPICAL STEADY
Count of complex words (3+ syllables) 5 - 19 TYPICAL STEADY
How easy the text is to read (higher = easier) 29 - 71 TYPICAL STEADY
Percentage of complex words (3+ syllables) 10 - 25 TYPICAL STEADY
Total sentence count 1.4 - 9.0 TYPICAL STEADY
Total syllables in the post 53 - 192 TYPICAL STEADY
Total word count of the post 28 - 124 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Hyphen usage per 1000 words 3-39 per 1k words HIGH STEADY
Colon usage per 1000 words 0-21 per 1k words LOW VARIES
Comma usage per 1000 words 0-44 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-1 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
Percentage of sentences ending with a question 3% LOW VARIES
Question marks per 1000 words 0-8 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-5 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Ellipsis (...) usage per 1000 words 0-8 per 1k words TYPICAL VARIES
En dash (–) usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-39 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-13 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
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Presence of dialogue attribution patterns 1% HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Average length of quoted passages 0 - 179 TYPICAL VARIES
Lines using past tense 48% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.3 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.1 TYPICAL VARIES
Total characters in quoted content 0 - 202 TYPICAL VARIES
Use of story transitions 12% TYPICAL VARIES
Whether the post contains quotations 31% of posts TYPICAL VARIES
Whether the post tells a story 36% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.5 - 2.7 TYPICAL STEADY
Average number of words per sentence 10 - 23 TYPICAL STEADY
Average words per sentence 10 - 23 TYPICAL STEADY
How much sentence length varies (normalized) 68% TYPICAL STEADY
How often paragraphs contain just one sentence 44% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 40 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 11 TYPICAL STEADY
Overall sentence complexity 13 - 61 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-13 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 29% TYPICAL STEADY
Percentage of sentences under 8 words 26% TYPICAL STEADY
Typical sentence length (median) 8 - 23 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.9 TYPICAL VARIES
Variation in sentence lengths 4 - 19 TYPICAL STEADY
Word count of shortest sentence 1 - 10 TYPICAL STEADY
Word count of the longest sentence 18 - 43 TYPICAL STEADY

Let's turn your leadership into lead magnets

Create, personalise and orchestrate professional social content across your whole team - in THEIR voice, on YOUR message, at ANY scale.

Book a Demo