Jack C.'s AuthorDNA

The writing patterns that make your content uniquely yours

Based on 82 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 04 Dec 2025
Whether any hashtags are used
consistent
2x more
See example from 29 Sep 2025
Count of neutral/functional emoji
7x more
How consistently the same emoji is used for bullets
distinctive
16x more
Whether emoji are used as bullet point markers
distinctive
15x more
Percentage of lines containing at least one emoji
consistent
4x more
Proportion of blank space
consistent
1.9x more

Does Less Of...

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

Hook lines relative to total lines
consistent
2.0x less
Hook length relative to total post
consistent
1.8x less
Where LinkedIn's 'see more' cuts off
consistent
1.8x less
Closing length relative to total post
1.7x 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 neutral or functional emoji as bullet points 15 times more than the average LinkedIn author. Not only that, but you're 16 times more consistent in sticking with the exact same emoji for your bullets - like a digital fingerprint nobody else leaves behind. It's not just a quirk; it's a calling card.

This works because it subconsciously signals order and clarity to your readers, making your posts feel structured and frictionless. Now try briefing a ghostwriter: "Hey, use neutral emoji as bullets, but make sure you do it 15x more than everyone else, and never, ever switch it up." They'd think you've lost it - because this isn't something you could script or even consciously repeat. It's part of your AuthorDNA, not a checklist.

You post less than once a week, but every post carries your unmistakable mark. 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 (Aug 2023 - Jun 2025)

Recent 66 posts since Dec 2023
vs
Earlier 16 posts before Dec 2023
Opening hashtags Increasing (12% → 21%)
More

Style patterns based on 82 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

24 Aug 2023 - 16 Jun 2025

0.9 posts/week avg
73/96 active weeks
23 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 21% HIGH VARIES
Whether CTAs are concentrated at the end of the post 20% HIGH VARIES
Whether CTAs include emoji 15% of posts HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 14% TYPICAL VARIES
Whether CTAs include hashtags 15% of posts TYPICAL VARIES
Whether any call-to-action exists 72% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 20% HIGH VARIES
Average emoji per line of text 36% HIGH STEADY
Balance between positive and negative emoji 9% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.4 HIGH VARIES
Count of neutral/functional emoji 0.4 - 6.0 HIGH STEADY
Emoji count relative to sentence count 67% HIGH VARIES
Emoji density in the hook section 0 - 88 HIGH VARIES
Emoji usage in the middle section of the post 0 - 70 HIGH VARIES
Emoji used to replace words entirely 11% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How consistently the same emoji is used for bullets 35% HIGH VARIES
How often the same emoji repeats across the post 21% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.9 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.0 HIGH VARIES
Number of emoji in the opening hook 0.1 - 1.8 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 3% HIGH VARIES
Percentage of emoji that are negative/warning 4% HIGH VARIES
Percentage of emoji that are neutral/functional 83% HIGH STEADY
Percentage of emoji that are positive/celebratory 13% HIGH VARIES
Percentage of lines containing at least one emoji 36% HIGH STEADY
Percentage of lines that contain only emoji 1% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 2.3 HIGH VARIES
Total number of emoji in the post 0.0 - 3.0 HIGH VARIES
Variety of different emoji used as bullets 14% HIGH VARIES
Whether emoji are used as bullet point markers 35% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of emoji clusters (groups of adjacent emoji) ~0.0 LOW STEADY
Proportion of emoji appearing in clusters 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Count of positive/celebratory emoji 0.0 - 0.6 TYPICAL VARIES
Emoji count per 1000 words 7% TYPICAL VARIES
Emoji density in CTA sections 0 - 42 TYPICAL VARIES
Number of different emoji types used 0.0 - 2.1 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 22% TYPICAL VARIES
Whether any emoji are used in the post 28% of posts TYPICAL VARIES
Whether the post starts with an emoji 4% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 49% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 36% LOW VARIES
Count of negative contractions used 16% TYPICAL VARIES
Count of positive contractions used 52% TYPICAL VARIES
Number of different contraction types 56% TYPICAL VARIES
Ratio of negative to positive contractions 37:1 TYPICAL VARIES
Total number of contractions 68% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 13% TYPICAL VARIES
Variety of different contractions used 27% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-13 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0 - 22 HIGH VARIES
Usage of 'which' per 1000 words 0-5 per 1k words HIGH VARIES
Variety of function words used 56% HIGH STEADY
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 181 - 246 TYPICAL STEADY
Usage of 'a' per 1000 words 10 - 32 TYPICAL STEADY
Usage of 'and' per 1000 words 14 - 46 TYPICAL STEADY
Usage of 'at' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 2 - 23 TYPICAL STEADY
Usage of 'is' per 1000 words 2 - 19 TYPICAL STEADY
Usage of 'of' per 1000 words 9 - 35 TYPICAL STEADY
Usage of 'on' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-5 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 20 - 53 TYPICAL STEADY
Usage of 'to' per 1000 words 17 - 46 TYPICAL STEADY
Usage of 'with' per 1000 words 1-16 per 1k words TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 12 HIGH STEADY
Proportion of hashtags placed at the end 73% HIGH STEADY
Proportion of hashtags using CamelCase 64% HIGH STEADY
Proportion of hashtags woven into the text 22% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 451 HIGH VARIES
Total number of hashtags 2.2 - 6.2 HIGH STEADY
Whether any hashtags are used 100% of posts HIGH STEADY
Proportion of hashtags in the opening 5% LOW VARIES
Hashtag density per 100 words 1.1 - 6.3 TYPICAL STEADY
Proportion of all-lowercase hashtags 33% TYPICAL VARIES
Proportion of hashtags in ALL CAPS 3% TYPICAL VARIES
Whether the opening line contains a hashtag 20% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether there's a blank line after the hook 61% HIGH STEADY
Whether there's a clear opening hook section 74% of posts HIGH STEADY
ALL CAPS words in the hook 2% LOW VARIES
Hook length relative to total post 41% LOW STEADY
Hook lines relative to total lines 34% LOW STEADY
Use of 'you/your' in the hook 1% LOW STEADY
Where LinkedIn's 'see more' cuts off 41% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 229 - 379 TYPICAL STEADY
Character position where the hook ends 229 - 379 TYPICAL STEADY
Negation words in the hook 0.0 - 0.9 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.6 TYPICAL VARIES
Whether the hook contains a question 23% of posts TYPICAL VARIES
Whether the hook contains emoji 11% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.6 - 2.6 HIGH STEADY
Blank lines per 100 total lines 34 - 49 HIGH STEADY
Number of visual text blocks 3.6 - 8.7 HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 42% HIGH STEADY
Spacing between content-rich lines 1.6 - 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 quotes 0% LOW STEADY
Variation in block sizes 30% LOW VARIES
Average characters per line 94 - 170 TYPICAL STEADY
Average lines per text block 0.8 - 1.5 TYPICAL STEADY
Average words per line 15 - 27 TYPICAL STEADY
Lines containing exactly one sentence 72% TYPICAL STEADY
Percentage of very short lines (<5 words) 12% TYPICAL STEADY
Ratio of lines starting with numbers 1% TYPICAL VARIES
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Variation in line lengths 0 - 500 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 29% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.4 HIGH VARIES
Variety of emoji used as bullets 3% HIGH VARIES
Whether emoji bullet lists are used 8% of posts HIGH VARIES
Average items per dash/bullet list 6% LOW VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Number of dash/bullet list sections 0.0 - 0.2 LOW VARIES
Number of numbered list sections 0.0 - 0.2 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Whether dash/bullet lists are used 2% of posts LOW VARIES
Consistency of numbered list formatting 2% TYPICAL VARIES
Nesting depth of numbered lists 12% TYPICAL VARIES
Whether any list structure is used 13% of posts TYPICAL VARIES
Whether numbered lists are used 2% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Count of words used only once 53 - 107 HIGH STEADY
Length of longest repeated phrase 0.9 - 3.3 HIGH STEADY
Number of unique words used 64 - 135 HIGH STEADY
How often three-word phrases repeat 57% LOW VARIES
Common idioms and expressions per 1000 words 14% TYPICAL VARIES
Count of idiomatic expressions 0.0 - 0.2 TYPICAL VARIES
How often two-word phrases repeat 0.9 - 7.0 TYPICAL STEADY
Percentage of words used only once 81% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 73% 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 0.0-1.4 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.8 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 0.2-2.4 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.4 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.6 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with subordinate clauses (%) 7% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 41% TYPICAL VARIES
Sentences starting with -ing verbs (%) 4% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 2 - 34 TYPICAL STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 44% of posts HIGH VARIES
Whether the ending includes hashtags 92% of posts HIGH STEADY
Whether the ending is a question 32% HIGH VARIES
ALL CAPS words in the closing 1% LOW STEADY
Closing length relative to total post 44% LOW STEADY
Whether the closing has emoji clusters 0% LOW STEADY
Character length of the closing 184 - 478 TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.8 TYPICAL VARIES
Whether the ending has a call-to-action 38% of posts TYPICAL VARIES
Whether the ending includes emoji 16% of posts TYPICAL VARIES
Whether there's a clear closing section 95% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 92% HIGH STEADY
Consecutive short paragraphs 2.5 - 8.4 HIGH STEADY
Total number of paragraphs 3.5 - 8.7 HIGH STEADY
Consecutive long paragraphs 7% LOW VARIES
Average change in length between paragraphs 67% TYPICAL VARIES
Average sentences per paragraph 0.9 - 2.1 TYPICAL STEADY
Average sentences per paragraph 0.9 - 2.1 TYPICAL STEADY
How frequently new paragraphs start 33 - 57 TYPICAL STEADY
How much paragraph length varies 81% TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 0.9 - 3.2 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Typical paragraph length (median) 0.7 - 1.9 TYPICAL STEADY
Variation in length changes between paragraphs 78% 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 8% TYPICAL STEADY
Percentage of words that are adverbs 5% 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 9 - 14 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 10 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 13 - 39 HIGH STEADY
Total syllables in the post 134 - 336 HIGH STEADY
Total word count of the post 80 - 202 HIGH STEADY
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
How easy the text is to read (higher = easier) 30 - 61 TYPICAL STEADY
Percentage of complex words (3+ syllables) 13 - 25 TYPICAL STEADY
Total sentence count 4 - 11 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Em dash (—) usage per 1000 words 0-10 per 1k words HIGH VARIES
En dash (–) usage per 1000 words 0-5 per 1k words HIGH VARIES
Multiple question marks per 1000 words 0-3 per 1k words HIGH VARIES
Percentage of sentences ending with a question 9% HIGH VARIES
Colon usage per 1000 words 0-24 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-6 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-17 per 1k words LOW VARIES
Multiple exclamation marks per 1000 words 0-3 per 1k words LOW VARIES
Parentheses usage per 1000 words 0-5 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 8% LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 26-69 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-27 per 1k words TYPICAL VARIES
Mixed punctuation clusters per 1000 words 0-1 per 1k words TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 86% TYPICAL VARIES
Question marks per 1000 words 0-18 per 1k words TYPICAL VARIES
Semicolon usage per 1000 words 0-2 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 74 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 35% TYPICAL STEADY
Number of narrative/story signals 0.4 - 2.1 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.0 TYPICAL VARIES
Total characters in quoted content 0 - 144 TYPICAL VARIES
Use of story transitions 6% TYPICAL VARIES
Whether the post contains quotations 33% of posts TYPICAL VARIES
Whether the post tells a story 38% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Overall sentence complexity 0 - 132 HIGH VARIES
Percentage of sentences over 20 words 41% HIGH STEADY
Percentage of sentences under 8 words 21% LOW STEADY
Average number of clauses per sentence 1.5 - 3.4 TYPICAL STEADY
Average number of words per sentence 11 - 28 TYPICAL STEADY
Average words per sentence 11 - 28 TYPICAL STEADY
How much sentence length varies (normalized) 61% TYPICAL STEADY
How often paragraphs contain just one sentence 68% TYPICAL STEADY
Length of your longer sentences (80th percentile) 18 - 41 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 20 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-14 per 1k words TYPICAL VARIES
Typical sentence length (median) 9 - 28 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.5 TYPICAL VARIES
Variation in sentence lengths 6 - 17 TYPICAL STEADY
Word count of shortest sentence 0 - 15 TYPICAL VARIES
Word count of the longest sentence 22 - 56 TYPICAL STEADY

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