Sam Hall's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 17 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

Variety of different emoji used as bullets
signature ↑ increasing
35x more
Percentage of emoji that are neutral/functional
signature ↑ increasing
6x more
See example from 24 Oct 2025
Percentage of lines containing at least one emoji
signature ↑ increasing
5x more
Average character length of hashtags
consistent ↑ increasing
3x more
Count of neutral/functional emoji
↑ increasing
6x more
Number of emoji in the opening hook
↑ increasing
7x more
Emoji count relative to sentence count
↑ increasing
6x more

Does Less Of...

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

Whether CTAs include hashtags
consistent
rarely
Whether any list structure is used
consistent
rarely
Usage of 'by' per 1000 words
consistent
rarely
CTAs phrased as questions vs statements
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use a staggering 35 times more types of emoji as bullets than the average LinkedIn author. And not just any emoji - 6 times more of yours are neutral or purely functional, not emotional. Nearly every fifth line you write sneaks in an emoji, and your hashtags? They're three times longer than anyone else's. It's not just a quirk - it's a visual signature hiding in plain sight.

This works because you’ve made your posts instantly scannable and subtly structured, without ever resorting to obvious list formats or formulaic calls to action. Try giving a ghostwriter these specs: “Use a wild variety of neutral emoji as bullets, but don’t make it look like a list. Make hashtags unusually long, but don’t rely on them to drive CTAs.” They’d think you were joking. You couldn’t even brief yourself to do this on purpose - it’s muscle memory, not method.

And yet, despite this distinctive fingerprint, you only post less than once a week. That’s the paradox Drumbeat uncovers - the patterns you can’t see but your audience feels, translating your uncopyable voice into consistent company presence, at scale.

Style Evolution

How your writing has changed (Sep 2015 - Oct 2025)

Recent 8 posts since Dec 2023
vs
Earlier 10 posts before Dec 2023
Hashtag usage Increasing (30% → 100%)
More
Emoji usage Increasing (10% → 100%)
More

Style patterns based on 18 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

29 Sep 2015 - 24 Oct 2025

0 posts/week avg
17/526 active weeks
509 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs include emoji 35% of posts HIGH VARIES
CTAs phrased as questions vs statements 0% LOW STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 1% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
Whether any call-to-action exists 59% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 53% HIGH STEADY
Average number of emoji appearing together in clusters 28% HIGH VARIES
Balance between positive and negative emoji 16% HIGH VARIES
Count of neutral/functional emoji 0.9 - 4.9 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.2 HIGH VARIES
Emoji count per 1000 words 0 - 41 HIGH VARIES
Emoji count relative to sentence count 55% HIGH STEADY
Emoji density in CTA sections 0 - 274 HIGH VARIES
Emoji density in the hook section 0 - 60 HIGH STEADY
Emoji usage in the middle section of the post 0 - 39 HIGH VARIES
Emoji used to replace words entirely 27% HIGH VARIES
How consistently the same emoji is used for bullets 33% HIGH VARIES
Largest group of adjacent emoji 33% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 0.8 HIGH VARIES
Number of different emoji types used 0.0 - 4.0 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.9 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.9 HIGH VARIES
Number of emoji in the opening hook 0.1 - 3.0 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 8% HIGH VARIES
Percentage of emoji that are neutral/functional 84% HIGH STEADY
Percentage of emoji that are positive/celebratory 16% HIGH VARIES
Percentage of lines containing at least one emoji 44% HIGH STEADY
Percentage of lines that contain only emoji 3% HIGH VARIES
Proportion of emoji appearing in clusters 11% HIGH VARIES
Total number of emoji in the post 0.0 - 4.0 HIGH VARIES
Variety of different emoji used (unique/total ratio) 53% HIGH STEADY
Variety of different emoji used as bullets 33% HIGH VARIES
Whether any emoji are used in the post 53% of posts HIGH STEADY
Whether emoji are used as bullet point markers 33% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently emoji pair with specific words 0% LOW STEADY
How often the same emoji repeats across the post 0% LOW STEADY
Percentage of emoji that are negative/warning 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
Whether the post starts with an emoji 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 35% HIGH VARIES
Percentage of words that are contractions 2% HIGH VARIES
Ratio of negative to positive contractions 235:1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 58% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Variety of different contractions used 59% HIGH STEADY
Count of positive contractions used 41% TYPICAL VARIES
Number of different contraction types 76% TYPICAL STEADY
Total number of contractions 76% TYPICAL STEADY
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-23 per 1k words HIGH VARIES
Usage of 'at' per 1000 words 0 - 31 HIGH VARIES
Usage of 'for' per 1000 words 4 - 38 HIGH STEADY
Usage of 'if' per 1000 words 0-20 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-7 per 1k words HIGH VARIES
Usage of 'with' per 1000 words 2 - 31 HIGH STEADY
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words ~0 per 1k words LOW STEADY
Overall grammatical word usage 165 - 252 TYPICAL STEADY
Usage of 'a' per 1000 words 5 - 41 TYPICAL STEADY
Usage of 'and' per 1000 words 0 - 43 TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 31 TYPICAL STEADY
Usage of 'on' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 6 - 49 TYPICAL STEADY
Usage of 'to' per 1000 words 9 - 42 TYPICAL STEADY
Usage of 'who' per 1000 words 0-9 per 1k words TYPICAL VARIES
Variety of function words used 44% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 15 HIGH STEADY
Proportion of all-lowercase hashtags 52% HIGH STEADY
Proportion of hashtags placed at the end 65% HIGH STEADY
Proportion of hashtags using CamelCase 44% HIGH VARIES
Proportion of hashtags woven into the text 15% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 301 HIGH VARIES
Total number of hashtags 0.0 - 5.3 HIGH STEADY
Hashtag density per 100 words 0.0 - 8.7 TYPICAL VARIES
Proportion of hashtags in ALL CAPS 4% TYPICAL VARIES
Proportion of hashtags in the opening 20% TYPICAL VARIES
Whether any hashtags are used 65% of posts TYPICAL STEADY
Whether the opening line contains a hashtag 27% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.2 HIGH VARIES
Whether the hook contains emoji 41% of posts HIGH VARIES
Whether the hook starts with a conjunction 6% HIGH VARIES
Whether there's a blank line after the hook 35% HIGH VARIES
ALL CAPS words in the hook 2% TYPICAL STEADY
Character count of the hook 177 - 376 TYPICAL STEADY
Character position where the hook ends 177 - 376 TYPICAL STEADY
Hook length relative to total post 71% TYPICAL STEADY
Hook lines relative to total lines 64% TYPICAL STEADY
Negation words in the hook 0.0 - 0.8 TYPICAL VARIES
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 71% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Whether there's a clear opening hook section 35% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
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 quotes 0% LOW STEADY
Variation in block sizes 8% LOW VARIES
Average characters per line 52 - 301 TYPICAL STEADY
Average lines per text block 0.6 - 2.0 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.6 TYPICAL VARIES
Average words per line 7 - 52 TYPICAL STEADY
Blank lines per 100 total lines 0 - 44 TYPICAL VARIES
Lines containing exactly one sentence 44% TYPICAL STEADY
Number of visual text blocks 0.2 - 6.7 TYPICAL STEADY
Percentage of very short lines (<5 words) 11% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 22% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Spacing between content-rich lines 0.2 - 2.0 TYPICAL STEADY
Variation in line lengths 0 - 401 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
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
Use of inline enumeration 1% 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
How often three-word phrases repeat 46% LOW VARIES
How often two-word phrases repeat 0.0 - 7.2 LOW VARIES
Length of longest repeated phrase 65% LOW VARIES
Count of words used only once 21 - 92 TYPICAL STEADY
Number of unique words used 21 - 113 TYPICAL STEADY
Percentage of words used only once 86% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 84% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.5 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.6 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 -ing verbs (%) 4% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 6% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with subordinate clauses (%) 0 - 42 HIGH VARIES
Sentences starting with time words (%) 4% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Count of sentences starting with pronouns 0.0-1.7 per post TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 34 TYPICAL STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.6 HIGH VARIES
Whether the closing has emoji clusters 6% HIGH VARIES
Whether the ending includes emoji 41% of posts HIGH VARIES
Whether the ending is a question 6% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 185 - 437 TYPICAL STEADY
Closing length relative to total post 77% TYPICAL STEADY
Whether the closing has a signature phrase 12% of posts TYPICAL VARIES
Whether the ending has a call-to-action 41% of posts TYPICAL VARIES
Whether the ending includes hashtags 59% of posts TYPICAL STEADY
Whether there's a clear closing section 76% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Variation in length changes between paragraphs 0.0 - 4.0 HIGH VARIES
How frequently new paragraphs start 21 - 63 LOW STEADY
Average change in length between paragraphs 96% TYPICAL STEADY
Average sentences per paragraph 1.1 - 3.3 TYPICAL STEADY
Average sentences per paragraph 1.1 - 3.3 TYPICAL STEADY
Consecutive long paragraphs 18% TYPICAL VARIES
Consecutive short paragraphs 0.2 - 4.5 TYPICAL STEADY
How much paragraph length varies 0.0 - 3.2 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.7 - 3.6 TYPICAL STEADY
Total number of paragraphs 0.8 - 5.9 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 3.2 TYPICAL STEADY
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 3% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 16 - 27 TYPICAL STEADY
Percentage of words that are prepositions 9 - 15 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 9 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 1 - 28 TYPICAL STEADY
How easy the text is to read (higher = easier) 37 - 70 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 21 TYPICAL STEADY
Total sentence count 0 - 11 TYPICAL STEADY
Total syllables in the post 22 - 264 TYPICAL STEADY
Total word count of the post 16 - 159 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Parentheses usage per 1000 words 0-13 per 1k words HIGH VARIES
Colon usage per 1000 words 0-36 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-3 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
Hyphen usage per 1000 words 0-15 per 1k words LOW VARIES
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 ending with a question 3% LOW VARIES
Percentage of sentences trailing off with ellipsis 28% LOW VARIES
Question marks per 1000 words 0-13 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-2 per 1k words LOW VARIES
Comma usage per 1000 words 2-51 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-30 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 1 - 47 TYPICAL STEADY
Semicolon usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Whether the post contains quotations 65% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 52 LOW VARIES
Average length of quoted passages 0 - 52 TYPICAL VARIES
Lines using past tense 48% TYPICAL STEADY
Number of narrative/story signals 0.7 - 2.4 TYPICAL STEADY
Number of quotation blocks 0.1 - 1.3 TYPICAL STEADY
Use of story transitions 9% TYPICAL VARIES
Whether the post tells a story 41% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Variation in clause count across sentences 0.0 - 9.0 HIGH VARIES
Average number of clauses per sentence 1.5 - 3.1 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) 63% TYPICAL STEADY
How often paragraphs contain just one sentence 39% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 34 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 13 TYPICAL STEADY
Overall sentence complexity 16 - 66 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-15 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 32% TYPICAL STEADY
Percentage of sentences under 8 words 23% TYPICAL STEADY
Typical sentence length (median) 11 - 23 TYPICAL STEADY
Variation in sentence lengths 5 - 15 TYPICAL STEADY
Word count of shortest sentence 1 - 12 TYPICAL STEADY
Word count of the longest sentence 19 - 37 TYPICAL STEADY

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