Oliver Pilgerstorfer's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 89 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
Emoji count relative to sentence count
signature
10x more
Percentage of lines containing at least one emoji
consistent
6x more
Percentage of emoji that are neutral/functional
consistent
5x more
See example from 09 Dec 2025
Average emoji per line of text
7x more
Whether any hashtags are used
consistent
2x more
See example from 09 Dec 2025
Proportion of hashtags using CamelCase
4x more

Does Less Of...

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

Use of 'you/your' in the hook
consistent
4x less
Hook lines relative to total lines
consistent
1.4x less
Percentage of words that are verbs
consistent
1.3x 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 hook than the average LinkedIn poster. In fact, 6 times more of your lines contain at least one emoji, and your overall emoji-to-sentence ratio is off the charts - 10x higher than most. It's not just for flair, either: 5 times more of your emoji are functional or neutral, not just decorative. You aren't just dropping the odd smiley - your posts operate in a whole new visual language.

Why does this work? Readers instantly decode your tone and intent before they've even processed the words. It's a shortcut to personality, clarity, and pace. Now try briefing a ghostwriter: "Use 10x more emoji than everyone else, but make 5x more of them neutral or functional, and make sure 7x more lines have emoji, but don't overuse verbs and never address the reader directly in the hook." They'd think you were joking. This isn't a checklist - it's muscle memory, wired into your fingertips.

You post less than once a week, but every time you do, it's unmistakably you. 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

09 Jan 2024 - 09 Dec 2025

0.9 posts/week avg
60/101 active weeks
41 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 17% of posts HIGH VARIES
CTAs phrased as questions vs statements 1% LOW STEADY
Whether CTAs are concentrated at the end of the post 1% LOW VARIES
Average position of CTAs in the post Upper half TYPICAL STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 13% TYPICAL VARIES
Whether CTAs include hashtags 11% of posts TYPICAL VARIES
Whether any call-to-action exists 61% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 71% HIGH STEADY
Average number of emoji appearing together in clusters 33% HIGH VARIES
Balance between positive and negative emoji 24% HIGH VARIES
Count of neutral/functional emoji 0.2 - 5.1 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.3 HIGH VARIES
Emoji count per 1000 words 0 - 58 HIGH VARIES
Emoji count relative to sentence count 90% HIGH VARIES
Emoji density in CTA sections 0 - 76 HIGH VARIES
Emoji density in the hook section 2 - 104 HIGH STEADY
Emoji usage in the middle section of the post 0 - 82 HIGH VARIES
Emoji used to replace words entirely 14% HIGH VARIES
How consistently emoji pair with specific words 5% HIGH VARIES
How often the same emoji repeats across the post 16% HIGH VARIES
Largest group of adjacent emoji 29% HIGH VARIES
Number of different emoji types used 0.0 - 4.2 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 2.2 HIGH VARIES
Number of emoji in the opening hook 0.5 - 4.4 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 2% HIGH VARIES
Percentage of emoji that are neutral/functional 76% HIGH STEADY
Percentage of emoji that are positive/celebratory 24% HIGH VARIES
Percentage of lines containing at least one emoji 44% HIGH STEADY
Percentage of lines that contain only emoji 1% HIGH STEADY
Proportion of emoji appearing in clusters 8% HIGH VARIES
Proportion of emoji that appear multiple times 6% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.6 HIGH VARIES
Total number of emoji in the post 0.0 - 4.7 HIGH VARIES
Variety of different emoji used (unique/total ratio) 52% HIGH STEADY
Whether any emoji are used in the post 62% of posts HIGH STEADY
Whether the post starts with an emoji 26% HIGH VARIES
Average distance between repeated emoji 4% LOW VARIES
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 7% LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Count of positive contractions used 58% TYPICAL VARIES
Number of different contraction types 61% TYPICAL VARIES
Percentage of words that are contractions 78% TYPICAL VARIES
Ratio of negative to positive contractions 22:1 TYPICAL VARIES
Total number of contractions 65% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 72% TYPICAL VARIES
Variety of different contractions used 36% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'so' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'a' per 1000 words 0 - 23 LOW VARIES
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 127 - 240 TYPICAL STEADY
Usage of 'and' per 1000 words 6 - 37 TYPICAL STEADY
Usage of 'as' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 26 TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 22 TYPICAL VARIES
Usage of 'of' per 1000 words 4 - 32 TYPICAL STEADY
Usage of 'on' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 19 - 63 TYPICAL STEADY
Usage of 'to' per 1000 words 6 - 45 TYPICAL STEADY
Usage of 'which' per 1000 words 0-4 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 - 23 TYPICAL VARIES
Variety of function words used 41% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 13 HIGH STEADY
Hashtag density per 100 words 2 - 11 HIGH STEADY
Proportion of hashtags in ALL CAPS 16% HIGH VARIES
Proportion of hashtags placed at the end 63% HIGH STEADY
Proportion of hashtags using CamelCase 61% HIGH STEADY
Proportion of hashtags woven into the text 24% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 454 HIGH VARIES
Total number of hashtags 1.2 - 8.7 HIGH STEADY
Whether any hashtags are used 97% of posts HIGH STEADY
Whether the opening line contains a hashtag 36% HIGH VARIES
Proportion of all-lowercase hashtags 22% TYPICAL VARIES
Proportion of hashtags in the opening 13% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
ALL CAPS words in the hook 5% HIGH STEADY
Number of emoji in the hook 0.0 - 2.3 HIGH VARIES
Whether the hook contains emoji 54% of posts HIGH STEADY
Whether there's a blank line after the hook 54% HIGH STEADY
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 0% LOW STEADY
Whether the hook contains a question 4% of posts LOW VARIES
Character count of the hook 175 - 396 TYPICAL STEADY
Character position where the hook ends 175 - 396 TYPICAL STEADY
Hook length relative to total post 62% TYPICAL STEADY
Hook lines relative to total lines 49% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 62% TYPICAL STEADY
Whether the hook starts with a conjunction 1% TYPICAL VARIES
Whether there's a clear opening hook section 38% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.7 - 3.2 HIGH STEADY
Blank lines per 100 total lines 25 - 47 HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 36% HIGH STEADY
Ratio of lines starting with numbers 3% HIGH VARIES
Spacing between content-rich lines 1.4 - 2.2 HIGH STEADY
Variation in block sizes 0 - 24 HIGH VARIES
Variation in line lengths 0 - 941 HIGH VARIES
Ratio of lines starting with punctuation 1% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 65 - 182 TYPICAL STEADY
Average lines per text block 0.2 - 2.5 TYPICAL STEADY
Average words per line 10 - 30 TYPICAL STEADY
Lines containing exactly one sentence 64% TYPICAL STEADY
Number of visual text blocks 2.2 - 5.2 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 17% TYPICAL VARIES
Ratio of lines starting with ALL CAPS 3% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Nesting depth of numbered lists 30% HIGH VARIES
Average items per dash/bullet list 4% LOW VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Number of dash/bullet list sections 0.0 - 0.1 LOW VARIES
Number of emoji bullet 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 4% of posts LOW VARIES
Whether dash/bullet lists are used 1% of posts LOW VARIES
Whether emoji bullet lists are used 0% of posts LOW STEADY
Consistency of numbered list formatting 3% TYPICAL VARIES
Number of numbered list sections 0.0 - 0.2 TYPICAL VARIES
Use of inline enumeration 1% TYPICAL STEADY
Whether numbered lists are used 3% 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 33 - 75 TYPICAL STEADY
How often three-word phrases repeat 0.0 - 3.6 TYPICAL VARIES
How often two-word phrases repeat 0.0 - 9.2 TYPICAL VARIES
Length of longest repeated phrase 0.3 - 3.1 TYPICAL STEADY
Number of unique words used 38 - 91 TYPICAL STEADY
Percentage of words used only once 84% TYPICAL STEADY
Ratio of meaningful words to grammatical words 6% TYPICAL STEADY
Unique words divided by total words 81% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with There is/It is 0.0-0.3 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.5 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.5 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' (%) 2% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 4% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.8 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 37 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 5% HIGH STEADY
Number of emoji in the closing 0.0 - 3.0 HIGH VARIES
Whether the closing has emoji clusters 7% HIGH VARIES
Whether the ending includes emoji 44% of posts HIGH VARIES
Whether the ending includes hashtags 90% of posts HIGH STEADY
Whether the ending is a question 6% LOW VARIES
Character length of the closing 166 - 499 TYPICAL STEADY
Closing length relative to total post 71% TYPICAL STEADY
Whether the closing has a signature phrase 20% of posts TYPICAL VARIES
Whether the ending has a call-to-action 35% of posts TYPICAL VARIES
Whether there's a clear closing section 85% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.0 - 3.5 HIGH VARIES
Closing paragraph length vs body average 86% HIGH VARIES
How much paragraph length varies 0 - 27 HIGH VARIES
Consecutive long paragraphs 6% LOW VARIES
Average sentences per paragraph 0.5 - 3.0 TYPICAL STEADY
Average sentences per paragraph 0.5 - 3.0 TYPICAL STEADY
Consecutive short paragraphs 1.5 - 4.4 TYPICAL STEADY
How frequently new paragraphs start 26 - 76 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 0.2 - 5.2 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.3 - 5.2 TYPICAL STEADY
Typical paragraph length (median) 0.2 - 2.8 TYPICAL STEADY
Variation in length changes between paragraphs 86% 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 4% TYPICAL STEADY
Percentage of words that are adjectives 6% 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 17 - 29 TYPICAL STEADY
Percentage of words that are prepositions 8 - 14 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 7 - 13 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 6 - 22 TYPICAL STEADY
How easy the text is to read (higher = easier) 34 - 67 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 22 TYPICAL STEADY
Total sentence count 1.7 - 8.3 TYPICAL STEADY
Total syllables in the post 70 - 199 TYPICAL STEADY
Total word count of the post 44 - 121 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-26 per 1k words HIGH VARIES
Multiple question marks per 1000 words 0-2 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-14 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 6% HIGH VARIES
Semicolon usage per 1000 words 0-7 per 1k words HIGH VARIES
Em dash (โ€”) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (โ€“) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-19 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
Percentage of sentences ending with a question 2% LOW VARIES
Percentage of sentences ending with exclamation 10% LOW VARIES
Question marks per 1000 words 0-9 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-4 per 1k words LOW VARIES
Colon usage per 1000 words 0-46 per 1k words TYPICAL VARIES
Comma usage per 1000 words 5-63 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-26 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Presence of dialogue attribution patterns 1% HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Use of story transitions 6% LOW VARIES
Average length of quoted passages 0 - 112 TYPICAL VARIES
Lines using past tense 38% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.2 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL VARIES
Total characters in quoted content 0 - 143 TYPICAL VARIES
Whether the post contains quotations 45% of posts TYPICAL VARIES
Whether the post tells a story 45% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences over 20 words 40% HIGH STEADY
Average number of clauses per sentence 1.5 - 3.3 TYPICAL STEADY
Average number of words per sentence 10 - 29 TYPICAL STEADY
Average words per sentence 10 - 29 TYPICAL STEADY
How much sentence length varies (normalized) 67% TYPICAL STEADY
How often paragraphs contain just one sentence 61% TYPICAL STEADY
Length of your longer sentences (80th percentile) 19 - 42 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 0 - 20 TYPICAL VARIES
Overall sentence complexity 3 - 102 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-15 per 1k words TYPICAL VARIES
Percentage of sentences under 8 words 24% TYPICAL STEADY
Typical sentence length (median) 7 - 28 TYPICAL STEADY
Variation in clause count across sentences 0.1 - 4.2 TYPICAL STEADY
Variation in sentence lengths 6 - 17 TYPICAL STEADY
Word count of shortest sentence 0 - 19 TYPICAL VARIES
Word count of the longest sentence 23 - 46 TYPICAL STEADY

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