Chris Kelly's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 65 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

Number of emoji in the opening hook
signature
10x more
Number of emoji in call-to-action lines
signature
10x more
Percentage of emoji that are neutral/functional
signature
5x more
See example from 08 Dec 2025
Proportion of all-lowercase hashtags
consistent
4x more
Average emoji per line of text
7x more
Percentage of lines containing at least one emoji
5x more
Emoji used to replace words entirely
distinctive
10x more

Does Less Of...

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

Whether any list structure is used
consistent
rarely
Ratio of meaningful words to grammatical words
consistent
1.3x less
Unique words divided by total words
consistent
1.1x 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 10 times more emoji in your opening hooks and call-to-action lines than the average LinkedIn poster. Not just any emoji, either - 5x more of yours are neutral or functional, not just decorative. Every scroll-stopping intro or nudge to comment is loaded with visual cues, making your posts impossible to ignore, even before anyone reads a single word.

Why does this work? It signals clarity, immediacy, and a kind of unfiltered intent that’s nearly impossible to fake. Now try briefing this to a ghostwriter: “I want 10x more neutral emoji in my hooks and CTAs - but only the functional ones, and make sure my hashtags are 4x more likely to be all-lowercase.” They’d tell you it can’t be done - because it’s not a recipe, it’s your muscle memory. You couldn’t even reproduce it on command.

You post at a steady 1.1 times per week, so this isn’t just a one-off quirk - it’s your drumbeat. 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

06 Nov 2024 - 10 Dec 2025

1.1 posts/week avg
41/58 active weeks
17 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 10% HIGH VARIES
Whether CTAs are concentrated at the end of the post 11% HIGH VARIES
Whether CTAs include emoji 15% of posts HIGH VARIES
Whether CTAs include hashtags 2% of posts LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 13% TYPICAL VARIES
Whether any call-to-action exists 66% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 26% HIGH VARIES
Average emoji per line of text 77% HIGH STEADY
Average number of emoji appearing together in clusters 90% HIGH VARIES
Balance between positive and negative emoji 20% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.3 HIGH VARIES
Count of neutral/functional emoji 0.2 - 6.3 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.3 HIGH VARIES
Emoji count per 1000 words 0 - 169 HIGH VARIES
Emoji count relative to sentence count 70% HIGH VARIES
Emoji density in CTA sections 0 - 314 HIGH VARIES
Emoji density in the hook section 0 - 318 HIGH VARIES
Emoji usage in the middle section of the post 0 - 65 HIGH VARIES
Emoji used to replace words entirely 36% HIGH VARIES
How consistently emoji pair with specific words 8% HIGH VARIES
How consistently the same emoji is used for bullets 9% HIGH VARIES
How often the same emoji repeats across the post 10% HIGH VARIES
Largest group of adjacent emoji 87% HIGH VARIES
Number of different emoji types used 0.0 - 3.5 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 - 3.6 HIGH VARIES
Number of emoji in the opening hook 0.3 - 4.3 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 2% HIGH VARIES
Percentage of emoji that are negative/warning 1% HIGH STEADY
Percentage of emoji that are neutral/functional 78% HIGH STEADY
Percentage of emoji that are positive/celebratory 21% HIGH VARIES
Percentage of lines containing at least one emoji 42% HIGH STEADY
Percentage of lines that contain only emoji 2% HIGH VARIES
Proportion of emoji appearing in clusters 20% HIGH VARIES
Proportion of emoji that appear multiple times 7% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.8 HIGH VARIES
Total number of emoji in the post 0.0 - 4.0 HIGH VARIES
Variety of different emoji used (unique/total ratio) 32% HIGH VARIES
Variety of different emoji used as bullets 9% HIGH VARIES
Whether any emoji are used in the post 35% of posts HIGH VARIES
Whether emoji are used as bullet point markers 9% HIGH VARIES
Whether the post starts with an emoji 9% HIGH VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Number of bullet point lines using emoji as markers 0.0 - 0.4 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 35% HIGH VARIES
Ratio of negative to positive contractions 138:1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 38% HIGH VARIES
Variety of different contractions used 46% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 38% LOW VARIES
Count of positive contractions used 42% TYPICAL VARIES
Number of different contraction types 75% TYPICAL VARIES
Percentage of words that are contractions 76% TYPICAL VARIES
Total number of contractions 77% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'but' per 1000 words 0-10 per 1k words HIGH VARIES
Usage of 'by' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'so' per 1000 words 0-10 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0-22 per 1k words HIGH VARIES
Usage of 'the' per 1000 words 25 - 78 HIGH STEADY
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Overall grammatical word usage 181 - 297 TYPICAL STEADY
Usage of 'a' per 1000 words 8 - 43 TYPICAL STEADY
Usage of 'and' per 1000 words 11 - 47 TYPICAL STEADY
Usage of 'as' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 1 - 21 TYPICAL STEADY
Usage of 'if' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 34 TYPICAL VARIES
Usage of 'of' per 1000 words 2 - 38 TYPICAL STEADY
Usage of 'on' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 12 - 52 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-18 per 1k words TYPICAL VARIES
Variety of function words used 52% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 15 HIGH STEADY
Proportion of all-lowercase hashtags 84% HIGH STEADY
Proportion of hashtags in the opening 31% HIGH VARIES
Proportion of hashtags placed at the end 44% HIGH VARIES
Proportion of hashtags woven into the text 25% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 454 HIGH VARIES
Whether the opening line contains a hashtag 35% HIGH VARIES
Proportion of hashtags using CamelCase 10% LOW VARIES
Total number of hashtags 0.0 - 3.0 LOW VARIES
Hashtag density per 100 words 0 - 16 TYPICAL VARIES
Proportion of hashtags in ALL CAPS 5% TYPICAL VARIES
Whether any hashtags are used 40% 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 - 2.4 HIGH VARIES
Whether the hook contains emoji 28% of posts HIGH VARIES
Whether the hook starts with a conjunction 2% HIGH VARIES
Whether there's a blank line after the hook 42% HIGH VARIES
Whether there's a clear opening hook section 45% of posts HIGH VARIES
Use of 'you/your' in the hook 1% LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 183 - 404 TYPICAL STEADY
Character position where the hook ends 183 - 404 TYPICAL STEADY
Hook length relative to total post 59% TYPICAL STEADY
Hook lines relative to total lines 56% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 59% TYPICAL STEADY
Whether the hook contains a question 18% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.0 - 2.4 HIGH STEADY
Blank lines per 100 total lines 34 - 48 HIGH STEADY
Proportion of blank space 41% HIGH STEADY
Spacing between content-rich lines 1.7 - 2.2 HIGH STEADY
Percentage of single-word lines 0% LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Variation in block sizes 10% LOW VARIES
Average characters per line 72 - 199 TYPICAL STEADY
Average lines per text block 0.9 - 1.2 TYPICAL STEADY
Average words per line 12 - 36 TYPICAL STEADY
Lines containing exactly one sentence 58% TYPICAL STEADY
Number of visual text blocks 2.4 - 7.1 TYPICAL STEADY
Percentage of very short lines (<5 words) 9% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with quotes 1% TYPICAL STEADY
Variation in line lengths 0 - 446 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Use of inline enumeration 2% HIGH VARIES
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
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 LOW STEADY
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 0% of posts LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 37% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.3 HIGH VARIES
How often three-word phrases repeat 44% LOW VARIES
Count of words used only once 29 - 101 TYPICAL STEADY
How often two-word phrases repeat 0.1 - 7.9 TYPICAL STEADY
Length of longest repeated phrase 0.3 - 2.8 TYPICAL STEADY
Number of unique words used 33 - 131 TYPICAL STEADY
Percentage of words used only once 82% TYPICAL STEADY
Ratio of meaningful words to grammatical words 3% TYPICAL STEADY
Unique words divided by total words 76% 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 0.0-1.7 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.2 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 0.0-3.2 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.8 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 1% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 5% HIGH VARIES
Sentences starting with adverbs (%) 8% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 40 HIGH STEADY
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 5% HIGH VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Character length of the closing 177 - 595 HIGH STEADY
Number of emoji in the closing 0.0 - 2.4 HIGH VARIES
Whether the closing has emoji clusters 14% HIGH VARIES
Whether the ending includes emoji 29% of posts HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Closing length relative to total post 70% TYPICAL STEADY
Whether the closing has a signature phrase 20% of posts TYPICAL VARIES
Whether the ending has a call-to-action 40% of posts TYPICAL VARIES
Whether the ending includes hashtags 31% of posts TYPICAL VARIES
Whether the ending is a question 18% TYPICAL VARIES
Whether there's a clear closing section 82% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 8% LOW VARIES
How much paragraph length varies 75% LOW VARIES
Average change in length between paragraphs 78% TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.2 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.2 TYPICAL STEADY
Consecutive short paragraphs 1.4 - 5.6 TYPICAL STEADY
How frequently new paragraphs start 0 - 144 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.3 - 3.3 TYPICAL STEADY
Opening paragraph length vs body average 95% TYPICAL STEADY
Total number of paragraphs 2.4 - 7.1 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.1 TYPICAL STEADY
Variation in length changes between paragraphs 60% 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 6% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 9% TYPICAL STEADY
Percentage of words that are nouns 11 - 30 TYPICAL STEADY
Percentage of words that are prepositions 7 - 14 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 8 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.3 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 4 - 24 TYPICAL STEADY
How easy the text is to read (higher = easier) 36 - 80 TYPICAL STEADY
Percentage of complex words (3+ syllables) 5 - 23 TYPICAL STEADY
Total sentence count 2 - 12 TYPICAL STEADY
Total syllables in the post 52 - 301 TYPICAL STEADY
Total word count of the post 30 - 206 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Multiple exclamation marks per 1000 words 0-7 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Semicolon usage per 1000 words 0-4 per 1k words HIGH VARIES
Colon usage per 1000 words 0-15 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-1 per 1k words LOW VARIES
En dash (–) usage per 1000 words 0-2 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Quotation mark usage per 1000 words 0-11 per 1k words LOW VARIES
Comma usage per 1000 words 12-64 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-7 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-40 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-24 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-7 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 7% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 42 TYPICAL VARIES
Question marks per 1000 words 0-15 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Number of narrative/story signals 0.8 - 2.9 HIGH STEADY
Presence of dialogue attribution patterns 1% HIGH STEADY
Use of story transitions 14% HIGH VARIES
Whether the post contains quotations 62% of posts HIGH STEADY
Whether the post tells a story 65% of posts HIGH STEADY
Average length of quoted passages 0 - 66 TYPICAL VARIES
Lines starting with quotation marks 1% TYPICAL STEADY
Lines using past tense 47% TYPICAL STEADY
Number of quotation blocks 0.0 - 1.6 TYPICAL STEADY
Total characters in quoted content 0 - 118 TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-8 per 1k words LOW VARIES
Percentage of sentences under 8 words 21% LOW STEADY
Average number of clauses per sentence 1.5 - 2.8 TYPICAL STEADY
Average number of words per sentence 11 - 22 TYPICAL STEADY
Average words per sentence 11 - 22 TYPICAL STEADY
How much sentence length varies (normalized) 58% TYPICAL STEADY
How often paragraphs contain just one sentence 58% TYPICAL STEADY
Length of your longer sentences (80th percentile) 16 - 36 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 13 TYPICAL STEADY
Overall sentence complexity 17 - 62 TYPICAL STEADY
Percentage of sentences over 20 words 31% TYPICAL STEADY
Typical sentence length (median) 9 - 22 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.5 TYPICAL VARIES
Variation in sentence lengths 4 - 15 TYPICAL STEADY
Word count of shortest sentence 2 - 10 TYPICAL STEADY
Word count of the longest sentence 17 - 46 TYPICAL STEADY

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