Mark Carter's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 34 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 13 Oct 2025
Whether the post starts with an emoji
signature
17x more
See example from 13 Oct 2025
Proportion of hashtags placed at the end
signature
4x more
Average character length of hashtags
consistent
3x more
Percentage of lines containing at least one emoji
5x more
Number of emoji in the opening hook
5x more
Proportion of hashtags using CamelCase
3x more

Does Less Of...

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

Whether the opening line contains a hashtag
consistent
rarely
Proportion of hashtags in the opening
consistent
rarely
Whether CTAs include hashtags
consistent
rarely
Ratio of lines starting with punctuation
consistent
rarely
How often the same emoji repeats across the post
consistent
rarely
Whether dash/bullet lists are used
consistent
rarely
Average items per dash/bullet list
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you start your LinkedIn posts with an emoji 17 times more often than the average user. Not just sprinkling emojis in for flavor - you’re leading with them, telegraphing tone before a single word lands. That’s a level of intentional (or maybe instinctive) signaling that almost no one else is pulling off, and it shapes how your content is read before anyone even processes the headline.

Why does this work? Because it creates an instant mood-check for your audience. Neutral, functional emojis set the stage, making your posts feel more approachable and less like a sales pitch. Now try briefing a ghostwriter: “Always start my posts with an emoji, but make it feel natural, not forced.” They’d freeze. You can’t manufacture this - it’s not a style guide, it’s muscle memory. Even you couldn’t replicate it if you tried to break it down step by step.

Your posting rhythm is almost stealthy - just 0.3 times per week, less than once a week. And yet, this is exactly what Drumbeat captures - the patterns you can’t put into words but your audience feels instantly. Your company’s true message, in every team member’s authentic voice, at scale.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

04 Sep 2023 - 08 Dec 2025

0.3 posts/week avg
21/119 active weeks
98 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs phrased as questions vs statements 11% HIGH VARIES
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Upper half TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 11% TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 6% TYPICAL VARIES
Whether CTAs include emoji 6% of posts TYPICAL VARIES
Whether any call-to-action exists 56% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 44% HIGH STEADY
Average number of emoji appearing together in clusters 33% HIGH VARIES
Balance between positive and negative emoji 10% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.6 HIGH VARIES
Count of neutral/functional emoji 0.7 - 3.3 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 0.8 HIGH VARIES
Emoji count relative to sentence count 25% HIGH STEADY
Emoji density in CTA sections 3 - 43 HIGH STEADY
Emoji density in the hook section 9 - 39 HIGH STEADY
Emoji usage in the middle section of the post 1 - 21 HIGH STEADY
Emoji used to replace words entirely 10% HIGH VARIES
Largest group of adjacent emoji 33% HIGH VARIES
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 0.4 - 1.9 HIGH STEADY
Percentage of emoji that are negative/warning 3% HIGH VARIES
Percentage of emoji that are neutral/functional 83% HIGH STEADY
Percentage of emoji that are positive/celebratory 14% HIGH VARIES
Percentage of lines containing at least one emoji 40% HIGH STEADY
Proportion of emoji appearing in clusters 7% HIGH VARIES
Whether the post starts with an emoji 50% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Emoji count per 1000 words 4% LOW VARIES
How consistently emoji pair with specific words 0% LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
How often the same emoji repeats across the post 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total count of repeated emoji across the post ~0.0 LOW STEADY
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Number of different emoji types used 0.0 - 1.6 TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.6 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 18% 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 negative contractions used 6% LOW VARIES
Count of positive contractions used 24% LOW VARIES
Number of different contraction types 29% LOW VARIES
Percentage of words that are contractions 50% LOW VARIES
Total number of contractions 29% LOW VARIES
Usage of negative contractions (don't, won't, can't) 10% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 40% LOW VARIES
Ratio of negative to positive contractions 29:1 TYPICAL VARIES
Variety of different contractions used 21% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 0 - 63 HIGH VARIES
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-19 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-7 per 1k words LOW VARIES
Overall grammatical word usage 124 - 261 TYPICAL STEADY
Usage of 'and' per 1000 words 6 - 43 TYPICAL STEADY
Usage of 'as' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'if' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 25 TYPICAL VARIES
Usage of 'on' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 7 - 59 TYPICAL STEADY
Usage of 'to' per 1000 words 2 - 55 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 29 TYPICAL VARIES
Variety of function words used 37% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 15 HIGH STEADY
Hashtag density per 100 words 0 - 13 HIGH VARIES
Proportion of all-lowercase hashtags 40% HIGH STEADY
Proportion of hashtags placed at the end 88% HIGH STEADY
Proportion of hashtags using CamelCase 56% HIGH STEADY
Proportion of hashtags woven into the text 12% HIGH VARIES
Total number of hashtags 0.5 - 5.3 HIGH STEADY
Whether any hashtags are used 68% of posts HIGH STEADY
Proportion of hashtags in the opening 0% LOW STEADY
Ratio of inline hashtags to end hashtags 16% LOW VARIES
Whether the opening line contains a hashtag 0% LOW STEADY
Proportion of hashtags in ALL CAPS 4% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether there's a blank line after the hook 32% HIGH VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 155 - 342 TYPICAL STEADY
Character position where the hook ends 155 - 342 TYPICAL STEADY
Hook length relative to total post 71% TYPICAL STEADY
Hook lines relative to total lines 63% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 71% TYPICAL STEADY
Whether the hook contains a question 18% of posts TYPICAL VARIES
Whether the hook contains emoji 15% of posts TYPICAL VARIES
Whether there's a clear opening hook section 29% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Ratio of lines starting with ALL CAPS 1% LOW VARIES
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 13% LOW VARIES
Average characters per line 77 - 185 TYPICAL STEADY
Average lines per text block 0.8 - 1.6 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.3 TYPICAL STEADY
Average words per line 11 - 31 TYPICAL STEADY
Blank lines per 100 total lines 16 - 46 TYPICAL STEADY
Lines containing exactly one sentence 57% TYPICAL STEADY
Number of visual text blocks 1.1 - 5.6 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 17% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 31% TYPICAL STEADY
Ratio of lines starting with numbers 1% TYPICAL VARIES
Spacing between content-rich lines 1.0 - 2.3 TYPICAL STEADY
Variation in line lengths 0 - 548 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
Nesting depth of numbered lists 6% LOW VARIES
Number of dash/bullet list sections ~0.0 LOW STEADY
Number of emoji bullet 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 3% of posts LOW VARIES
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Consistency of numbered list formatting 3% TYPICAL VARIES
Number of numbered list sections 0.0 - 0.2 TYPICAL VARIES
Whether numbered lists are used 3% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 22% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.2 HIGH VARIES
How often three-word phrases repeat 22% LOW VARIES
How often two-word phrases repeat 0.0 - 5.3 LOW VARIES
Count of words used only once 19 - 83 TYPICAL STEADY
Length of longest repeated phrase 0.0 - 2.6 TYPICAL VARIES
Number of unique words used 20 - 102 TYPICAL STEADY
Percentage of words used only once 86% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 83% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.8 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 0.0-0.9 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.4 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.0 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.1 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.6 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 94% HIGH VARIES
Sentences starting with -ing verbs (%) 6% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with subordinate clauses (%) 9% HIGH VARIES
Sentences starting with time words (%) 4% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 37 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending includes hashtags 68% of posts HIGH STEADY
Whether the ending is a question 29% HIGH VARIES
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 163 - 472 TYPICAL STEADY
Closing length relative to total post 80% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.6 TYPICAL VARIES
Whether the closing has a signature phrase 15% of posts TYPICAL VARIES
Whether the closing has emoji clusters 3% TYPICAL VARIES
Whether the ending has a call-to-action 24% of posts TYPICAL VARIES
Whether the ending includes emoji 15% of posts TYPICAL VARIES
Whether there's a clear closing section 53% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.3 - 2.2 HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
Average sentences per paragraph 1.1 - 2.5 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.5 TYPICAL STEADY
Closing paragraph length vs body average 68% TYPICAL STEADY
Consecutive short paragraphs 0.8 - 4.1 TYPICAL STEADY
How frequently new paragraphs start 19 - 92 TYPICAL STEADY
How much paragraph length varies 0.0 - 3.8 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.4 - 3.9 TYPICAL STEADY
Total number of paragraphs 1.3 - 5.6 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.4 TYPICAL STEADY
Variation in length changes between paragraphs 71% 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 4% 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 18 - 29 TYPICAL STEADY
Percentage of words that are prepositions 6 - 15 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 6 - 20 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 29 TYPICAL STEADY
How easy the text is to read (higher = easier) 24 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 10 - 27 TYPICAL STEADY
Total sentence count 1.7 - 9.5 TYPICAL STEADY
Total syllables in the post 26 - 241 TYPICAL STEADY
Total word count of the post 18 - 140 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Colon usage per 1000 words 0-25 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-3 per 1k words LOW VARIES
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
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 trailing off with ellipsis 49% LOW VARIES
Quotation mark usage per 1000 words 0-4 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 13-69 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-10 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-34 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-30 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-13 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 8% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 32 TYPICAL VARIES
Question marks per 1000 words 0-24 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 68 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 68 LOW VARIES
Lines using past tense 36% TYPICAL STEADY
Number of narrative/story signals 0.4 - 2.0 TYPICAL STEADY
Number of quotation blocks 0.0 - 0.9 TYPICAL VARIES
Use of story transitions 10% TYPICAL VARIES
Whether the post contains quotations 35% of posts TYPICAL VARIES
Whether the post tells a story 35% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Variation in clause count across sentences 88% LOW STEADY
Average number of clauses per sentence 1.1 - 2.9 TYPICAL STEADY
Average number of words per sentence 8 - 21 TYPICAL STEADY
Average words per sentence 8 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 56% TYPICAL STEADY
How often paragraphs contain just one sentence 53% TYPICAL STEADY
Length of your longer sentences (80th percentile) 13 - 29 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 16 TYPICAL STEADY
Overall sentence complexity 0 - 72 TYPICAL VARIES
Parenthetical breaks per 1000 words 0-14 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 25% TYPICAL STEADY
Percentage of sentences under 8 words 29% TYPICAL STEADY
Typical sentence length (median) 6 - 21 TYPICAL STEADY
Variation in sentence lengths 4 - 11 TYPICAL STEADY
Word count of shortest sentence 0 - 14 TYPICAL STEADY
Word count of the longest sentence 16 - 32 TYPICAL STEADY

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