Cathryn Newbery's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 24 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
5x more
See example from 26 Nov 2025
Count of sentences starting with conjunctions
signature
16x more
See example from 26 Nov 2025
Proportion of hashtags placed at the end
consistent
4x more
Whether any emoji are used in the post
4x more
See example from 26 Nov 2025
Variety of different emoji used (unique/total ratio)
4x more
Sentences starting with And, But, Or, So (%)
10x more
See example from 26 Nov 2025
Percentage of lines containing at least one emoji
4x 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 there's a blank line after the hook
consistent
rarely
Hook length relative to total post
1.5x less
Where LinkedIn's 'see more' cuts off
1.5x less
Unique words divided by total words
consistent
1.1x less
Percentage of words used only once
consistent
1.0x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you start 16 times more sentences with conjunctions like "But" and "And" than the average LinkedIn poster. It's not just a quirk - it’s a signature. You’re constantly steering the narrative, challenging assumptions before they’re even made, one conjunction at a time.

This works because it pulls readers into your thought process, breaking the monotony and making every post feel like a conversation in motion. Now try briefing this to a ghostwriter: “Start 16x more sentences with ‘But’ or ‘And’ than anyone else, but don’t make it sound forced.” They’d look at you like you’ve lost your mind - because this isn’t style, it’s DNA. You couldn’t script it if you tried.

You post less than once a week, but every time you do, these subconscious patterns show up. 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

04 Jun 2024 - 26 Nov 2025

0.3 posts/week avg
22/78 active weeks
56 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 12% HIGH VARIES
Whether CTAs include emoji 33% of posts HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 4% LOW VARIES
Whether CTAs include hashtags 4% of posts LOW VARIES
Whether any call-to-action exists 62% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 33% HIGH STEADY
Average number of emoji appearing together in clusters 29% HIGH VARIES
Balance between positive and negative emoji 21% HIGH VARIES
Count of neutral/functional emoji 0.4 - 4.0 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 0.9 HIGH VARIES
Emoji count per 1000 words 0 - 32 HIGH VARIES
Emoji count relative to sentence count 41% HIGH VARIES
Emoji density in CTA sections 0 - 194 HIGH VARIES
Emoji density in the hook section 0 - 87 HIGH VARIES
Emoji usage in the middle section of the post 0 - 74 HIGH VARIES
Emoji used to replace words entirely 17% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
How often the same emoji repeats across the post 9% HIGH VARIES
Largest group of adjacent emoji 29% HIGH VARIES
Number of different emoji types used 0.1 - 2.9 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.6 HIGH VARIES
Number of emoji in the opening hook 0.0 - 2.1 HIGH VARIES
Percentage of emoji that are 'corpspeak' type 8% 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 30% HIGH STEADY
Percentage of lines that contain only emoji 0% HIGH STEADY
Proportion of emoji appearing in clusters 7% HIGH VARIES
Proportion of emoji that appear multiple times 6% 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 - 3.9 HIGH VARIES
Variety of different emoji used (unique/total ratio) 64% HIGH STEADY
Whether any emoji are used in the post 71% of posts HIGH STEADY
Whether the post starts with an emoji 6% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Percentage of emoji that are negative/warning 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
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 79% HIGH VARIES
Count of positive contractions used 0.0 - 4.3 HIGH VARIES
Number of different contraction types 0.2 - 3.9 HIGH STEADY
Percentage of words that are contractions 2% HIGH STEADY
Total number of contractions 0.0 - 5.7 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 50% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Variety of different contractions used 57% HIGH STEADY
Ratio of negative to positive contractions 1:2 LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-17 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-4 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-17 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0 - 35 HIGH VARIES
Usage of 'which' per 1000 words 0-5 per 1k words HIGH 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 178 - 273 TYPICAL STEADY
Usage of 'a' per 1000 words 1 - 44 TYPICAL STEADY
Usage of 'and' per 1000 words 9 - 45 TYPICAL STEADY
Usage of 'at' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 32 TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 47 TYPICAL VARIES
Usage of 'on' per 1000 words 2-18 per 1k words TYPICAL STEADY
Usage of 'so' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 10 - 56 TYPICAL STEADY
Usage of 'to' per 1000 words 18 - 53 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 20 TYPICAL STEADY
Variety of function words used 50% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 13 HIGH STEADY
Proportion of all-lowercase hashtags 53% HIGH STEADY
Proportion of hashtags in ALL CAPS 19% HIGH VARIES
Proportion of hashtags placed at the end 86% HIGH STEADY
Proportion of hashtags using CamelCase 28% HIGH VARIES
Proportion of hashtags woven into the text 14% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 365 HIGH VARIES
Hashtag density per 100 words 0.0 - 3.9 LOW VARIES
Proportion of hashtags in the opening 0% LOW STEADY
Whether the opening line contains a hashtag 0% LOW STEADY
Total number of hashtags 0.0 - 3.2 TYPICAL STEADY
Whether any hashtags are used 58% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.6 HIGH VARIES
Number of emoji in the hook 0.0 - 1.7 HIGH VARIES
Whether the hook contains a question 29% of posts HIGH VARIES
Whether the hook contains emoji 42% of posts HIGH VARIES
Whether there's a clear opening hook section 67% of posts HIGH STEADY
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 101 - 348 TYPICAL STEADY
Character position where the hook ends 101 - 348 TYPICAL STEADY
Hook length relative to total post 50% TYPICAL STEADY
Hook lines relative to total lines 52% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 50% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.6 - 2.9 HIGH STEADY
Blank lines per 100 total lines 17 - 49 HIGH STEADY
Percentage of single-word lines 3% HIGH VARIES
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 33% HIGH STEADY
Ratio of lines starting with numbers 2% HIGH VARIES
Ratio of lines starting with punctuation 7% HIGH VARIES
Variation in block sizes 89% HIGH VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 71 - 147 TYPICAL STEADY
Average lines per text block 0.9 - 1.6 TYPICAL STEADY
Average words per line 12 - 26 TYPICAL STEADY
Lines containing exactly one sentence 67% TYPICAL STEADY
Number of visual text blocks 2.4 - 7.3 TYPICAL STEADY
Percentage of very short lines (<5 words) 16% TYPICAL VARIES
Spacing between content-rich lines 0.8 - 2.2 TYPICAL STEADY
Variation in line lengths 9 - 440 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 62% HIGH VARIES
Average items per emoji list 21% HIGH VARIES
Number of dash/bullet list sections 0.0 - 0.5 HIGH VARIES
Whether any list structure is used 21% of posts HIGH VARIES
Whether dash/bullet lists are used 17% of posts HIGH 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 numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Number of emoji bullet list sections 0.0 - 0.2 TYPICAL VARIES
Variety of emoji used as bullets 1% TYPICAL STEADY
Whether emoji bullet lists are used 4% of posts 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
Count of words used only once 31 - 99 TYPICAL STEADY
How often three-word phrases repeat 81% TYPICAL VARIES
How often two-word phrases repeat 0.4 - 9.0 TYPICAL STEADY
Length of longest repeated phrase 0.5 - 3.2 TYPICAL STEADY
Number of unique words used 38 - 124 TYPICAL STEADY
Percentage of words used only once 82% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% 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 There is/It is 0.0-0.4 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.5 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-2.8 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-1.3 per post HIGH VARIES
Count of sentences starting with pronouns 0.3-3.1 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.6 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' (%) 1% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 6% HIGH VARIES
Sentences starting with And, But, Or, So (%) 0 - 26 HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 3 - 68 HIGH STEADY
Sentences starting with subordinate clauses (%) 10% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Count of sentences starting with -ing verbs ~0.0 per post LOW STEADY
Sentences starting with -ing verbs (%) 0% LOW STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.7 HIGH VARIES
Whether the closing has emoji clusters 8% HIGH VARIES
Whether the ending has a call-to-action 50% of posts HIGH VARIES
Whether the ending includes emoji 54% of posts HIGH STEADY
Whether the closing has a signature phrase 8% of posts LOW VARIES
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 127 - 447 TYPICAL STEADY
Closing length relative to total post 56% TYPICAL STEADY
Whether the ending includes hashtags 54% of posts TYPICAL STEADY
Whether the ending is a question 12% TYPICAL VARIES
Whether there's a clear closing section 79% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 91% TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.1 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.1 TYPICAL STEADY
Closing paragraph length vs body average 74% TYPICAL STEADY
Consecutive long paragraphs 12% TYPICAL VARIES
Consecutive short paragraphs 1.5 - 4.6 TYPICAL STEADY
How frequently new paragraphs start 30 - 66 TYPICAL STEADY
How much paragraph length varies 94% TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 3.2 TYPICAL STEADY
Opening paragraph length vs body average 87% TYPICAL STEADY
Total number of paragraphs 2.4 - 7.3 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 2.0 TYPICAL STEADY
Variation in length changes between paragraphs 72% 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 7% 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 13 - 25 TYPICAL STEADY
Percentage of words that are prepositions 8 - 15 TYPICAL STEADY
Percentage of words that are pronouns 7 - 16 TYPICAL STEADY
Percentage of words that are verbs 9 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.3 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 4 - 20 TYPICAL STEADY
How easy the text is to read (higher = easier) 44 - 79 TYPICAL STEADY
Percentage of complex words (3+ syllables) 6 - 18 TYPICAL STEADY
Total sentence count 2 - 12 TYPICAL STEADY
Total syllables in the post 71 - 261 TYPICAL STEADY
Total word count of the post 48 - 179 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Parentheses usage per 1000 words 0-16 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 0 - 60 HIGH VARIES
Quotation mark usage per 1000 words 0-23 per 1k words HIGH VARIES
Colon usage per 1000 words 0-32 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-2 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
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 42% LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 7-57 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-35 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 1-39 per 1k words TYPICAL STEADY
Percentage of sentences ending with a question 7% TYPICAL VARIES
Question marks per 1000 words 0-17 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 205 HIGH VARIES
Number of narrative/story signals 1.0 - 2.9 HIGH STEADY
Number of quotation blocks 0.3 - 1.9 HIGH STEADY
Presence of dialogue attribution patterns 1% HIGH STEADY
Total characters in quoted content 0 - 337 HIGH VARIES
Whether the post contains quotations 79% of posts HIGH STEADY
Whether the post tells a story 67% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 45% TYPICAL STEADY
Use of story transitions 11% TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-15 per 1k words HIGH VARIES
Average number of clauses per sentence 1.6 - 3.2 TYPICAL STEADY
Average number of words per sentence 11 - 27 TYPICAL STEADY
Average words per sentence 11 - 27 TYPICAL STEADY
How much sentence length varies (normalized) 60% TYPICAL STEADY
How often paragraphs contain just one sentence 62% TYPICAL STEADY
Length of your longer sentences (80th percentile) 12 - 51 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 15 TYPICAL STEADY
Overall sentence complexity 16 - 84 TYPICAL STEADY
Percentage of sentences over 20 words 27% TYPICAL STEADY
Percentage of sentences under 8 words 22% TYPICAL VARIES
Typical sentence length (median) 10 - 23 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.9 TYPICAL VARIES
Variation in sentence lengths 2 - 21 TYPICAL STEADY
Word count of shortest sentence 1 - 14 TYPICAL STEADY
Word count of the longest sentence 16 - 59 TYPICAL STEADY

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