Marlen Lawrenz's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 37 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 positive/celebratory
distinctive
10x more
See example from 04 Dec 2025
Balance between positive and negative emoji
distinctive
11x more
Emoji used to replace words entirely
distinctive
11x more
Percentage of lines containing at least one emoji
4x more
Whether the post starts with an emoji
11x more
See example from 04 Dec 2025
Count of sentences starting with time words
12x more
See example from 04 Dec 2025
Percentage of emoji that are neutral/functional
4x more
See example from 04 Dec 2025

Does Less Of...

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

Whether CTAs include hashtags
consistent
rarely
Use of 'you/your' in the hook
consistent
2x less
Hook length relative to total post
consistent
1.2x less
Where LinkedIn's 'see more' cuts off
consistent
1.2x less
Average word complexity (syllables per word)
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 your LinkedIn posts with an emoji 11 times more often than the average author. Not just sprinkling them in - you're front-loading your message with celebratory symbols, and in 4x as many lines as most. Even more wild: in 1 out of every 11 cases, the emoji isn't just decoration - it's standing in for entire words. That’s not just flair, it’s a whole new visual language.

This works because it signals instant positivity and approachability before a single word lands. You’re not just writing - you’re coding emotion right into the scroll. Now try briefing a ghostwriter: "Replace words with emoji 11x more than most. Make 10x more of them positive. Start almost every post with one." They’d stare at you blankly - because this isn’t a template, it’s hardwired. You couldn’t reverse-engineer it on purpose.

And yes, you post less than once a week - but when you do, the DNA 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.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

06 Aug 2024 - 04 Dec 2025

0.5 posts/week avg
22/70 active weeks
48 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs phrased as questions vs statements 11% HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 16% HIGH VARIES
Whether CTAs include emoji 14% of posts HIGH VARIES
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Upper half TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 5% TYPICAL VARIES
Whether any call-to-action exists 60% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 19% HIGH VARIES
Average emoji per line of text 36% HIGH STEADY
Balance between positive and negative emoji 48% HIGH VARIES
Count of neutral/functional emoji 0.0 - 3.0 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.1 HIGH STEADY
Emoji count relative to sentence count 23% HIGH STEADY
Emoji density in CTA sections 0 - 49 HIGH VARIES
Emoji density in the hook section 2 - 39 HIGH STEADY
Emoji usage in the middle section of the post 9% HIGH VARIES
Emoji used to replace words entirely 40% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.1 HIGH STEADY
Number of emoji in the opening hook 0.2 - 1.4 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 1% HIGH VARIES
Percentage of emoji that are neutral/functional 52% HIGH STEADY
Percentage of emoji that are positive/celebratory 48% HIGH VARIES
Percentage of lines containing at least one emoji 35% HIGH STEADY
Variety of different emoji used (unique/total ratio) 34% HIGH VARIES
Whether any emoji are used in the post 35% of posts HIGH VARIES
Whether the post starts with an emoji 31% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 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 emoji that are negative/warning 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 count per 1000 words 8% TYPICAL VARIES
How often the same emoji repeats across the post 3% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.7 TYPICAL VARIES
Total count of repeated emoji across the post 0.0 - 0.7 TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.9 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 19% TYPICAL VARIES
Count of positive contractions used 70% TYPICAL VARIES
Number of different contraction types 76% TYPICAL VARIES
Percentage of words that are contractions 75% TYPICAL VARIES
Ratio of negative to positive contractions 27:1 TYPICAL VARIES
Total number of contractions 89% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 14% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 61% TYPICAL VARIES
Variety of different contractions used 31% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'but' per 1000 words 0-16 per 1k words HIGH VARIES
Usage of 'so' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-7 per 1k words LOW VARIES
Overall grammatical word usage 142 - 261 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 40 TYPICAL VARIES
Usage of 'and' per 1000 words 4 - 44 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 26 TYPICAL VARIES
Usage of 'if' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'on' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 11 - 72 TYPICAL STEADY
Usage of 'to' per 1000 words 5 - 62 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-19 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 7 - 11 HIGH STEADY
Proportion of all-lowercase hashtags 38% HIGH VARIES
Proportion of hashtags in ALL CAPS 6% HIGH VARIES
Proportion of hashtags placed at the end 58% HIGH STEADY
Proportion of hashtags using CamelCase 56% HIGH STEADY
Proportion of hashtags woven into the text 16% HIGH VARIES
Whether the opening line contains a hashtag 38% HIGH VARIES
Hashtag density per 100 words 100% LOW VARIES
Total number of hashtags 0.0 - 2.8 LOW VARIES
Whether any hashtags are used 22% of posts LOW VARIES
Proportion of hashtags in the opening 26% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 191 TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook contains a question 27% of posts HIGH VARIES
Whether the hook contains emoji 24% of posts HIGH VARIES
Whether there's a blank line after the hook 32% HIGH VARIES
ALL CAPS words in the hook 1% LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 156 - 325 TYPICAL STEADY
Character position where the hook ends 156 - 325 TYPICAL STEADY
Hook length relative to total post 62% TYPICAL STEADY
Hook lines relative to total lines 58% TYPICAL STEADY
Negation words in the hook 0.0 - 0.8 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.8 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 62% TYPICAL STEADY
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 0.4 - 2.7 HIGH STEADY
Blank lines per 100 total lines 21 - 47 HIGH STEADY
Proportion of blank space 34% HIGH STEADY
Spacing between content-rich lines 1.1 - 2.3 HIGH STEADY
Variation in block sizes 94% HIGH VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 1% LOW STEADY
Average characters per line 56 - 187 TYPICAL STEADY
Average lines per text block 0.7 - 1.7 TYPICAL STEADY
Average words per line 9 - 32 TYPICAL STEADY
Lines containing exactly one sentence 48% TYPICAL STEADY
Number of visual text blocks 1.6 - 6.5 TYPICAL STEADY
Percentage of single-word lines 1% TYPICAL VARIES
Percentage of very short lines (<5 words) 14% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Ratio of lines starting with quotes 1% TYPICAL STEADY
Variation in line lengths 0 - 357 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 30% HIGH VARIES
Use of inline enumeration 2% HIGH VARIES
Whether dash/bullet lists are used 8% of posts HIGH VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Nesting depth of numbered lists 8% LOW VARIES
Number of emoji bullet list sections ~0.0 LOW STEADY
Number of numbered list sections 0.0 - 0.2 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Consistency of numbered list formatting 3% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.4 TYPICAL VARIES
Whether any list structure is used 11% of posts TYPICAL VARIES
Whether numbered lists are used 3% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Count of idiomatic expressions 0.0 - 0.2 HIGH VARIES
How often three-word phrases repeat 26% LOW VARIES
How often two-word phrases repeat 0.0 - 4.5 LOW VARIES
Common idioms and expressions per 1000 words 12% TYPICAL VARIES
Count of words used only once 25 - 88 TYPICAL STEADY
Length of longest repeated phrase 100% TYPICAL VARIES
Number of unique words used 26 - 111 TYPICAL STEADY
Percentage of words used only once 86% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% 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 -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.4 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.7 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-1.2 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-4.3 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 0.0-1.1 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 4% HIGH VARIES
Sentences starting with And, But, Or, So (%) 5% HIGH VARIES
Sentences starting with adverbs (%) 8% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 2 - 38 HIGH STEADY
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Sentences starting with time words (%) 6% 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' (%) 34% TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 24% of posts HIGH VARIES
Whether the ending is a question 40% HIGH VARIES
ALL CAPS words in the closing 1% LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending includes hashtags 19% of posts LOW VARIES
Character length of the closing 144 - 453 TYPICAL STEADY
Closing length relative to total post 72% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.8 TYPICAL VARIES
Whether the ending has a call-to-action 27% of posts TYPICAL VARIES
Whether the ending includes emoji 22% of posts TYPICAL VARIES
Whether there's a clear closing section 81% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.0 - 2.3 HIGH STEADY
Variation in length changes between paragraphs 0.0 - 7.5 HIGH VARIES
Average sentences per paragraph 1.0 - 3.1 TYPICAL STEADY
Average sentences per paragraph 1.0 - 3.1 TYPICAL STEADY
Closing paragraph length vs body average 81% TYPICAL STEADY
Consecutive long paragraphs 14% TYPICAL VARIES
Consecutive short paragraphs 0.9 - 4.5 TYPICAL STEADY
How frequently new paragraphs start 22 - 83 TYPICAL STEADY
How much paragraph length varies 0.0 - 5.5 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 0.6 - 5.4 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.5 - 6.4 TYPICAL STEADY
Typical paragraph length (median) 1.1 - 2.8 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 8% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 8% TYPICAL STEADY
Percentage of words that are nouns 16 - 27 TYPICAL STEADY
Percentage of words that are prepositions 6 - 15 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 9 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.3 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 21 TYPICAL STEADY
How easy the text is to read (higher = easier) 42 - 82 TYPICAL STEADY
Percentage of complex words (3+ syllables) 7 - 21 TYPICAL STEADY
Total sentence count 0 - 15 TYPICAL STEADY
Total syllables in the post 39 - 238 TYPICAL STEADY
Total word count of the post 22 - 160 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-19 per 1k words HIGH VARIES
Em dash (—) usage per 1000 words 0-9 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-7 per 1k words HIGH VARIES
Percentage of sentences ending with a question 0 - 27 HIGH VARIES
Percentage of sentences trailing off with ellipsis 3% HIGH VARIES
Question marks per 1000 words 0-32 per 1k words HIGH VARIES
Colon usage per 1000 words 0-14 per 1k words LOW VARIES
En dash (–) usage per 1000 words 0-1 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-29 per 1k words LOW VARIES
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Quotation mark usage per 1000 words 0-5 per 1k words LOW VARIES
Comma usage per 1000 words 0-68 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-34 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-10 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 28 TYPICAL VARIES
Semicolon usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Presence of dialogue attribution patterns 0% LOW STEADY
Average length of quoted passages 0 - 82 TYPICAL VARIES
Lines starting with quotation marks 1% TYPICAL STEADY
Lines using past tense 46% TYPICAL STEADY
Number of narrative/story signals 0.8 - 2.3 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.3 TYPICAL VARIES
Total characters in quoted content 0 - 150 TYPICAL VARIES
Use of story transitions 13% TYPICAL VARIES
Whether the post contains quotations 38% of posts TYPICAL VARIES
Whether the post tells a story 49% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.3 - 2.5 TYPICAL STEADY
Average number of words per sentence 8 - 20 TYPICAL STEADY
Average words per sentence 8 - 20 TYPICAL STEADY
How much sentence length varies (normalized) 62% TYPICAL STEADY
How often paragraphs contain just one sentence 41% TYPICAL STEADY
Length of your longer sentences (80th percentile) 12 - 32 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 13 TYPICAL STEADY
Overall sentence complexity 6 - 53 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-15 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 23% TYPICAL STEADY
Percentage of sentences under 8 words 33% TYPICAL STEADY
Typical sentence length (median) 6 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 2.9 TYPICAL VARIES
Variation in sentence lengths 2 - 14 TYPICAL STEADY
Word count of shortest sentence 0 - 11 TYPICAL VARIES
Word count of the longest sentence 14 - 38 TYPICAL STEADY

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