Liam Bartholomew's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 99 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

Count of sentences starting with conjunctions
signature
25x more
See example from 10 Dec 2025
Percentage of emoji that are neutral/functional
signature
6x more
See example from 09 Dec 2025
Count of neutral/functional emoji
signature
8x more
Count of sentences starting with pronouns
signature
5x more
See example from 10 Dec 2025
Sentences starting with And, But, Or, So (%)
distinctive
13x more
See example from 10 Dec 2025
Whether CTAs include emoji
distinctive
8x more
Whether there's a clear opening hook section
consistent
3x more

Does Less Of...

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

Hook length relative to total post
consistent
3x less
Where LinkedIn's 'see more' cuts off
consistent
3x less
Hook lines relative to total lines
consistent
2x less
Closing length relative to total post
2x 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 start your sentences with conjunctions like "And," "But," "Or," or "So" thirteen times more than the average LinkedIn poster. Not just occasionally - it's a signature move. In fact, 25 times as often as most, your sentences break the so-called "rules," launching straight into a thought. It's like you can't help but keep the conversation moving, always one step ahead.

Why does this work? It instantly makes your posts feel less like announcements and more like real, ongoing conversations. Readers feel pulled along, invited to keep up. But try briefing this to a ghostwriter: "Start 13x more sentences with 'And,' 'But,' or 'So,' but make it sound natural." They'd have no idea where to begin. This isn't a content playbook - it's your authorial DNA. Even you couldn't fake it on command.

You post 1.8 times a week, not too much, not too little - just enough for your natural style to become 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

03 Dec 2024 - 10 Dec 2025

1.8 posts/week avg
42/54 active weeks
12 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 Lower half HIGH STEADY
CTAs phrased as questions vs statements 11% HIGH VARIES
Whether CTAs are concentrated at the end of the post 23% HIGH VARIES
Whether CTAs include emoji 64% of posts HIGH STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 12% TYPICAL VARIES
Whether any call-to-action exists 85% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 83% HIGH VARIES
Average emoji per line of text 34% HIGH STEADY
Count of negative/warning emoji 0.0 - 0.4 HIGH VARIES
Count of neutral/functional emoji 1.6 - 6.2 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.0 HIGH VARIES
Emoji count per 1000 words 3 - 33 HIGH STEADY
Emoji count relative to sentence count 34% HIGH STEADY
Emoji density in CTA sections 0 - 91 HIGH VARIES
Emoji density in the hook section 0 - 41 HIGH VARIES
Emoji usage in the middle section of the post 1 - 50 HIGH STEADY
Emoji used to replace words entirely 10% HIGH VARIES
How consistently emoji pair with specific words 3% HIGH VARIES
How consistently the same emoji is used for bullets 22% HIGH VARIES
How often the same emoji repeats across the post 25% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.5 HIGH VARIES
Number of different emoji types used 0.4 - 4.1 HIGH STEADY
Number of emoji in call-to-action lines 0.2 - 1.7 HIGH STEADY
Number of emoji in the opening hook 0.0 - 1.5 HIGH VARIES
Percentage of emoji that are 'corpspeak' type 5% HIGH VARIES
Percentage of emoji that are negative/warning 1% HIGH VARIES
Percentage of emoji that are neutral/functional 95% HIGH STEADY
Percentage of lines containing at least one emoji 33% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 3.1 HIGH VARIES
Total number of emoji in the post 0.6 - 6.1 HIGH STEADY
Variety of different emoji used (unique/total ratio) 60% HIGH STEADY
Variety of different emoji used as bullets 8% HIGH VARIES
Whether any emoji are used in the post 81% of posts HIGH STEADY
Whether emoji are used as bullet point markers 22% HIGH VARIES
Whether the post starts with an emoji 8% HIGH VARIES
Average number of emoji appearing together in clusters 2% LOW VARIES
Balance between positive and negative emoji 3% LOW VARIES
Largest group of adjacent emoji 2% LOW VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.1 LOW VARIES
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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Percentage of emoji that are positive/celebratory 4% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 40% LOW VARIES
Ratio of negative to positive contractions 10:1 LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 34% LOW VARIES
Count of negative contractions used 12% TYPICAL VARIES
Count of positive contractions used 69% TYPICAL VARIES
Number of different contraction types 72% TYPICAL VARIES
Total number of contractions 81% TYPICAL VARIES
Variety of different contractions used 34% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-7 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 1-14 per 1k words HIGH STEADY
Usage of 'so' per 1000 words 0-7 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 4 - 26 HIGH STEADY
Usage of 'which' per 1000 words 0-3 per 1k words HIGH VARIES
Variety of function words used 64% HIGH STEADY
Usage of 'by' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'for' per 1000 words 0-17 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 172 - 243 TYPICAL STEADY
Usage of 'a' per 1000 words 7 - 38 TYPICAL STEADY
Usage of 'and' per 1000 words 15 - 40 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-19 per 1k words TYPICAL STEADY
Usage of 'of' per 1000 words 3 - 22 TYPICAL STEADY
Usage of 'on' per 1000 words 2-14 per 1k words TYPICAL STEADY
Usage of 'the' per 1000 words 21 - 55 TYPICAL STEADY
Usage of 'to' per 1000 words 15 - 46 TYPICAL STEADY
Usage of 'with' per 1000 words 0-15 per 1k words TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 10 HIGH STEADY
Proportion of all-lowercase hashtags 100% HIGH STEADY
Proportion of hashtags placed at the end 100% HIGH STEADY
Hashtag density per 100 words 3% LOW VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags in the opening 0% LOW STEADY
Proportion of hashtags using CamelCase 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 0.7 LOW VARIES
Whether any hashtags are used 1% of posts LOW VARIES
Whether the opening line contains a hashtag 0% LOW STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.2 HIGH VARIES
Number of emoji in the hook 0.0 - 1.3 HIGH VARIES
Whether the hook contains a question 43% of posts HIGH VARIES
Whether the hook contains emoji 30% of posts HIGH VARIES
Whether there's a clear opening hook section 94% of posts HIGH STEADY
ALL CAPS words in the hook 2% LOW VARIES
Hook length relative to total post 27% LOW STEADY
Hook lines relative to total lines 28% LOW STEADY
Where LinkedIn's 'see more' cuts off 27% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 178 - 326 TYPICAL STEADY
Character position where the hook ends 178 - 326 TYPICAL STEADY
Use of 'you/your' in the hook 2% TYPICAL VARIES
Whether there's a blank line after the hook 22% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.9 - 2.7 HIGH STEADY
Blank lines per 100 total lines 35 - 48 HIGH STEADY
Number of visual text blocks 6 - 12 HIGH STEADY
Predictability of line length pattern Fairly consistent HIGH STEADY
Proportion of blank space 42% HIGH STEADY
Ratio of lines starting with punctuation 7% HIGH VARIES
Spacing between content-rich lines 1.5 - 2.1 HIGH STEADY
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in line lengths 41 - 163 LOW STEADY
Average characters per line 69 - 119 TYPICAL STEADY
Average lines per text block 1.0 - 1.5 TYPICAL STEADY
Average words per line 12 - 21 TYPICAL STEADY
Lines containing exactly one sentence 72% TYPICAL STEADY
Percentage of very short lines (<5 words) 10% TYPICAL VARIES
Ratio of lines starting with numbers 2% TYPICAL VARIES
Variation in block sizes 50% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 0.0 - 3.0 HIGH VARIES
Consistency of numbered list formatting 6% HIGH VARIES
Number of dash/bullet list sections 0.0 - 0.7 HIGH VARIES
Number of emoji bullet list sections 0.0 - 1.1 HIGH VARIES
Number of numbered list sections 0.0 - 0.4 HIGH VARIES
Use of inline enumeration 2% HIGH VARIES
Variety of emoji used as bullets 12% HIGH VARIES
Whether any list structure is used 46% of posts HIGH VARIES
Whether dash/bullet lists are used 7% of posts HIGH VARIES
Whether emoji bullet lists are used 37% of posts HIGH VARIES
Whether numbered lists are used 6% of posts HIGH VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Average items per dash/bullet list 20% TYPICAL VARIES
Nesting depth of numbered lists 19% TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 53% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.6 HIGH VARIES
Count of words used only once 65 - 122 HIGH STEADY
How often three-word phrases repeat 0.0 - 7.2 HIGH VARIES
How often two-word phrases repeat 2 - 13 HIGH STEADY
Length of longest repeated phrase 0.5 - 6.0 HIGH STEADY
Number of unique words used 84 - 162 HIGH STEADY
Percentage of words used only once 76% 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 0.0-0.6 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 0.0-1.8 per post HIGH VARIES
Count of sentences starting with conjunctions 0.4-3.1 per post HIGH STEADY
Count of sentences starting with discourse markers 0.0-1.3 per post HIGH VARIES
Count of sentences starting with pronouns 1.3-4.8 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.2-2.9 per post HIGH STEADY
Count of sentences starting with time words 0.0-0.8 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 78% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 4% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3 - 25 HIGH STEADY
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 10 - 41 HIGH STEADY
Sentences starting with subordinate clauses (%) 2 - 22 HIGH STEADY
Sentences starting with time words (%) 3% HIGH VARIES
Sentences starting with -ing verbs (%) 1% LOW VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.1 - 2.2 HIGH STEADY
Whether the ending has a call-to-action 61% of posts HIGH STEADY
Whether the ending includes emoji 68% of posts HIGH STEADY
Whether the ending is a question 25% HIGH VARIES
ALL CAPS words in the closing 1% LOW VARIES
Closing length relative to total post 32% LOW STEADY
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending includes hashtags 1% of posts LOW VARIES
Character length of the closing 174 - 432 TYPICAL STEADY
Whether the closing has a signature phrase 12% 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
Closing paragraph length vs body average 93% HIGH STEADY
Consecutive short paragraphs 3.0 - 9.8 HIGH STEADY
Total number of paragraphs 6 - 12 HIGH STEADY
Average change in length between paragraphs 87% TYPICAL STEADY
Average sentences per paragraph 1.2 - 2.1 TYPICAL STEADY
Average sentences per paragraph 1.2 - 2.1 TYPICAL STEADY
Consecutive long paragraphs 14% TYPICAL VARIES
How frequently new paragraphs start 37 - 66 TYPICAL STEADY
How much paragraph length varies 84% TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 3.2 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Typical paragraph length (median) 0.7 - 1.9 TYPICAL STEADY
Variation in length changes between paragraphs 82% TYPICAL VARIES
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 6% 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 16 - 26 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 9 - 15 TYPICAL STEADY
Percentage of words that are verbs 13 - 18 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 11 - 33 HIGH STEADY
Total sentence count 7 - 19 HIGH STEADY
Total syllables in the post 166 - 389 HIGH STEADY
Total word count of the post 115 - 262 HIGH STEADY
Average word complexity (syllables per word) 1.4 - 1.6 TYPICAL STEADY
How easy the text is to read (higher = easier) 57 - 77 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 15 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-10 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-2 per 1k words HIGH VARIES
Percentage of sentences ending with a question 0 - 23 HIGH VARIES
Colon usage per 1000 words 0-15 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-12 per 1k words LOW VARIES
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 exclamation 7% LOW VARIES
Quotation mark usage per 1000 words 0-3 per 1k words LOW VARIES
Semicolon usage per 1000 words 0-0 per 1k words LOW VARIES
Comma usage per 1000 words 21-65 per 1k words TYPICAL STEADY
Em dash (—) usage per 1000 words 0-6 per 1k words TYPICAL VARIES
En dash (–) usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 2-36 per 1k words TYPICAL STEADY
Parentheses usage per 1000 words 0-7 per 1k words TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Question marks per 1000 words 0-17 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Presence of dialogue attribution patterns 0% HIGH STEADY
Whether the post tells a story 57% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Average length of quoted passages 0 - 93 TYPICAL VARIES
Lines using past tense 37% TYPICAL STEADY
Number of narrative/story signals 0.7 - 2.7 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.6 TYPICAL VARIES
Total characters in quoted content 0 - 119 TYPICAL VARIES
Use of story transitions 9% TYPICAL VARIES
Whether the post contains quotations 44% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Word count of shortest sentence 1.1 - 6.9 LOW STEADY
Average number of clauses per sentence 1.5 - 2.6 TYPICAL STEADY
Average number of words per sentence 11 - 21 TYPICAL STEADY
Average words per sentence 11 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 68% TYPICAL STEADY
How often paragraphs contain just one sentence 62% TYPICAL STEADY
Length of your longer sentences (80th percentile) 13 - 34 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 12 TYPICAL STEADY
Overall sentence complexity 13 - 58 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-11 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 24% TYPICAL STEADY
Percentage of sentences under 8 words 26% TYPICAL STEADY
Typical sentence length (median) 9 - 17 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.6 TYPICAL VARIES
Variation in sentence lengths 6 - 16 TYPICAL STEADY
Word count of the longest sentence 23 - 54 TYPICAL STEADY

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