Simone Lilley's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 27 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 16 Jul 2025
Percentage of lines containing at least one emoji
signature
6x more
Proportion of hashtags placed at the end
signature ↑ increasing
4x more
Emoji count relative to sentence count
7x more
Number of emoji in the opening hook
6x more
Count of neutral/functional emoji
consistent
5x more
Average emoji per line of text
consistent
5x more

Does Less Of...

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

Count of negative contractions used
consistent
rarely
ALL CAPS words in the hook
consistent
3x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your sentences are a symphony of emoji - you use 7 times more emoji per sentence than the average LinkedIn poster. Even your opening hooks are 6 times more likely to be peppered with emoji, and 6 times more of your lines contain at least one. Forget the occasional smiley or rocket; your posts read like a living, breathing feed of functional icons, communicating more with symbols than most do with words.

Why does this work? It signals efficiency and clarity - your audience instantly reads your intent, mood, or call to action. But try briefing a ghostwriter to "use 6x more neutral emoji, especially up top, and quadruple the end-of-post hashtags." They'd stare at you like you've lost your mind. You can't systematize this - it's muscle memory, not a style guide. Even if you tried to reverse engineer it, you'd fall short.

And that's the kicker: you post less than once a week, but when you do, your style is 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.

Style Evolution

How your writing has changed (Oct 2013 - Jul 2025)

Recent 3 posts since Dec 2023
vs
Earlier 24 posts before Dec 2023
Hashtag usage Increasing (54% → 100%)
More
Opening hashtags Declining (4% → 0%)
Less

Style patterns based on 27 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

30 Oct 2013 - 16 Jul 2025

0 posts/week avg
25/612 active weeks
587 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 using command verbs (Click, Share, Comment, etc.) 19% HIGH VARIES
Whether CTAs include emoji 33% of posts HIGH VARIES
CTAs phrased as questions vs statements 6% TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 4% TYPICAL VARIES
Whether CTAs include hashtags 11% of posts TYPICAL VARIES
Whether any call-to-action exists 74% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 50% HIGH STEADY
Balance between positive and negative emoji 12% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.3 HIGH VARIES
Count of neutral/functional emoji 1.1 - 3.6 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.3 HIGH VARIES
Emoji count per 1000 words 0 - 37 HIGH VARIES
Emoji count relative to sentence count 67% HIGH STEADY
Emoji density in the hook section 7 - 47 HIGH STEADY
Emoji usage in the middle section of the post 0 - 46 HIGH VARIES
Emoji used to replace words entirely 7% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How often the same emoji repeats across the post 13% HIGH VARIES
Number of different emoji types used 0.0 - 3.0 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.1 HIGH VARIES
Number of emoji in the opening hook 0.4 - 2.5 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 7% HIGH VARIES
Percentage of emoji that are negative/warning 1% HIGH VARIES
Percentage of emoji that are neutral/functional 86% HIGH STEADY
Percentage of emoji that are positive/celebratory 13% HIGH VARIES
Percentage of lines containing at least one emoji 47% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.4 HIGH VARIES
Total number of emoji in the post 0.0 - 3.6 HIGH VARIES
Variety of different emoji used (unique/total ratio) 51% HIGH STEADY
Whether any emoji are used in the post 59% of posts HIGH STEADY
Whether the post starts with an emoji 12% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Average number of emoji appearing together in clusters 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 emoji clusters (groups of adjacent emoji) ~0.0 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 as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji density in CTA sections 0 - 43 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Variety of different contractions used 54% HIGH STEADY
Count of negative contractions used 0% LOW STEADY
Ratio of negative to positive contractions balanced LOW STEADY
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Count of positive contractions used 74% TYPICAL VARIES
Number of different contraction types 70% TYPICAL VARIES
Percentage of words that are contractions 87% TYPICAL VARIES
Total number of contractions 74% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 87% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'so' per 1000 words 0-14 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-4 per 1k words HIGH VARIES
Usage of 'who' per 1000 words 0-13 per 1k words HIGH VARIES
Usage of 'as' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-15 per 1k words LOW VARIES
Usage of 'of' per 1000 words 0-20 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-7 per 1k words LOW VARIES
Overall grammatical word usage 131 - 246 TYPICAL STEADY
Usage of 'a' per 1000 words 8 - 46 TYPICAL STEADY
Usage of 'and' per 1000 words 7 - 47 TYPICAL STEADY
Usage of 'at' per 1000 words 0-25 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 38 TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'on' per 1000 words 0-27 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 6 - 40 TYPICAL STEADY
Usage of 'to' per 1000 words 18 - 54 TYPICAL STEADY
Usage of 'with' per 1000 words 0-21 per 1k words TYPICAL VARIES
Variety of function words used 41% 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 65% HIGH STEADY
Proportion of hashtags placed at the end 85% HIGH STEADY
Proportion of hashtags woven into the text 12% HIGH VARIES
Total number of hashtags 0.0 - 5.7 HIGH VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags in the opening 2% LOW VARIES
Ratio of inline hashtags to end hashtags 14% LOW VARIES
Whether the opening line contains a hashtag 6% LOW VARIES
Hashtag density per 100 words 0 - 12 TYPICAL VARIES
Proportion of hashtags using CamelCase 23% TYPICAL VARIES
Whether any hashtags are used 59% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.5 HIGH VARIES
Whether the hook contains emoji 44% of posts HIGH VARIES
Whether there's a blank line after the hook 41% HIGH VARIES
ALL CAPS words in the hook 1% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 176 - 355 TYPICAL STEADY
Character position where the hook ends 176 - 355 TYPICAL STEADY
Hook length relative to total post 65% TYPICAL STEADY
Hook lines relative to total lines 56% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Use of 'you/your' in the hook 3% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 65% TYPICAL STEADY
Whether the hook contains a question 18% of posts TYPICAL VARIES
Whether there's a clear opening hook section 37% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.5 - 2.6 HIGH STEADY
Ratio of lines starting with ALL CAPS 4% HIGH VARIES
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 23% LOW VARIES
Average characters per line 73 - 203 TYPICAL STEADY
Average lines per text block 0.9 - 1.3 TYPICAL STEADY
Average words per line 12 - 34 TYPICAL STEADY
Blank lines per 100 total lines 14 - 49 TYPICAL STEADY
Lines containing exactly one sentence 53% TYPICAL STEADY
Number of visual text blocks 1.4 - 7.2 TYPICAL STEADY
Percentage of very short lines (<5 words) 9% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 31% TYPICAL STEADY
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Spacing between content-rich lines 0.7 - 2.3 TYPICAL STEADY
Variation in line lengths 0 - 561 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 33% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.4 HIGH VARIES
Variety of emoji used as bullets 4% HIGH VARIES
Whether emoji bullet lists are used 11% of posts HIGH VARIES
Average items per dash/bullet 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 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 dash/bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Whether any list structure is used 11% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 27% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.3 HIGH VARIES
Count of words used only once 15 - 107 TYPICAL STEADY
How often three-word phrases repeat 95% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 7.8 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 3.2 TYPICAL VARIES
Number of unique words used 14 - 137 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with There is/It is 0.0-0.2 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.4 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.0 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.6 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.7 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.4 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.7 per post 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 (%) 7% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 3 - 52 HIGH STEADY
Sentences starting with subordinate clauses (%) 7% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Sentences starting with -ing verbs (%) 1% 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' (%) 37% TYPICAL VARIES
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 7% HIGH VARIES
Whether the ending includes emoji 48% of posts HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Character length of the closing 143 - 459 TYPICAL STEADY
Closing length relative to total post 67% TYPICAL STEADY
Whether the closing has a signature phrase 18% of posts TYPICAL VARIES
Whether the ending has a call-to-action 30% of posts TYPICAL VARIES
Whether the ending includes hashtags 59% of posts TYPICAL STEADY
Whether the ending is a question 22% TYPICAL VARIES
Whether there's a clear closing section 74% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
How much paragraph length varies 78% LOW VARIES
Average change in length between paragraphs 78% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.8 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.8 TYPICAL STEADY
Closing paragraph length vs body average 79% TYPICAL STEADY
Consecutive long paragraphs 11% TYPICAL VARIES
Consecutive short paragraphs 0.7 - 5.3 TYPICAL STEADY
How frequently new paragraphs start 24 - 77 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 3.4 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.4 - 7.1 TYPICAL STEADY
Typical paragraph length (median) 0.7 - 2.7 TYPICAL STEADY
Variation in length changes between paragraphs 74% 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 7% TYPICAL STEADY
Percentage of words that are nouns 19 - 30 TYPICAL STEADY
Percentage of words that are prepositions 10% TYPICAL STEADY
Percentage of words that are pronouns 10% TYPICAL STEADY
Percentage of words that are verbs 11 - 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) 2 - 30 TYPICAL STEADY
How easy the text is to read (higher = easier) 29 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 9 - 25 TYPICAL STEADY
Total sentence count 1 - 10 TYPICAL STEADY
Total syllables in the post 8 - 325 TYPICAL STEADY
Total word count of the post 0 - 214 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-22 per 1k words HIGH VARIES
En dash (–) usage per 1000 words 0-19 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-4 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-14 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 0 - 33 HIGH VARIES
Semicolon usage per 1000 words 0-4 per 1k words HIGH VARIES
Em dash (—) usage per 1000 words 0-1 per 1k words LOW VARIES
Hyphen usage per 1000 words 0-15 per 1k words LOW VARIES
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Question marks per 1000 words 0-9 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 1-31 per 1k words TYPICAL STEADY
Comma usage per 1000 words 13-50 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-29 per 1k words TYPICAL VARIES
Multiple exclamation marks per 1000 words 0-4 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 6% TYPICAL VARIES
Percentage of sentences ending with exclamation 2 - 39 TYPICAL STEADY
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Whether the post contains quotations 63% of posts HIGH STEADY
Average length of quoted passages 0 - 41 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Total characters in quoted content 0 - 41 LOW VARIES
Lines using past tense 37% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.4 TYPICAL STEADY
Number of quotation blocks 0.1 - 1.2 TYPICAL STEADY
Presence of dialogue attribution patterns 0% TYPICAL STEADY
Use of story transitions 8% TYPICAL VARIES
Whether the post tells a story 41% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences over 20 words 39% HIGH STEADY
Variation in sentence lengths 5 - 20 HIGH STEADY
Percentage of sentences under 8 words 17% LOW VARIES
Average number of clauses per sentence 1.8 - 3.0 TYPICAL STEADY
Average number of words per sentence 12 - 26 TYPICAL STEADY
Average words per sentence 12 - 26 TYPICAL STEADY
How much sentence length varies (normalized) 67% TYPICAL STEADY
How often paragraphs contain just one sentence 51% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 39 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 17 TYPICAL STEADY
Overall sentence complexity 22 - 76 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-14 per 1k words TYPICAL VARIES
Typical sentence length (median) 10 - 24 TYPICAL STEADY
Variation in clause count across sentences 0.1 - 4.0 TYPICAL STEADY
Word count of shortest sentence 0 - 15 TYPICAL STEADY
Word count of the longest sentence 18 - 56 TYPICAL STEADY

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