Caroline Otterheim's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 70 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
signature
12x more
See example from 05 Dec 2025
Balance between positive and negative emoji
signature
13x more
Emoji count relative to sentence count
signature
9x more
Percentage of lines containing at least one emoji
signature
6x more
Average emoji per line of text
6x more
Number of emoji in the opening hook
7x more
Count of positive/celebratory emoji
9x more

Does Less Of...

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

Consecutive long paragraphs
consistent
rarely
Parentheses usage per 1000 words
consistent
rarely
Length of your longer paragraphs (80th percentile)
consistent
1.7x less
Total syllables in the post
consistent
1.7x less
Average sentences per paragraph
consistent
1.7x less
Average sentences per paragraph
consistent
1.7x less
Typical paragraph length (median)
consistent
1.7x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts are essentially emoji-powered - you use positive or celebratory emoji 12 times more than the average person, and nearly every other line you write contains at least one. In fact, for every sentence, you’re stacking in 9 times more emoji than your peers. It’s not just a sprinkle - it’s a full-on confetti cannon, and your balance between positive and negative emoji is off the charts at 13x the norm.

This works because it signals relentless energy and approachability. Readers don’t just see your message - they feel it, instantly. Now imagine trying to brief this to a ghostwriter: “Hey, make sure 6 out of every 10 lines have at least one celebratory emoji, but don’t overdo the syllables or paragraphs.” They’d stare at you like you’d lost your mind. This isn’t a checklist; it’s your subconscious in action. You can’t reverse-engineer this even if you wanted to.

Posting 4.7 times per week, you’ve built a signature rhythm your audience can’t quite put their finger on - but they feel it. 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 Sep 2025 - 10 Dec 2025

4.7 posts/week avg
15/15 active 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.) 50% HIGH STEADY
Whether CTAs include emoji 13% of posts HIGH VARIES
Whether any call-to-action exists 87% of posts HIGH STEADY
CTAs phrased as questions vs statements 1% LOW STEADY
Whether CTAs are concentrated at the end of the post 3% LOW VARIES
Whether CTAs include hashtags 1% of posts LOW VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 66% HIGH STEADY
Average number of emoji appearing together in clusters 56% HIGH VARIES
Balance between positive and negative emoji 58% HIGH STEADY
Count of neutral/functional emoji 0.0 - 2.5 HIGH VARIES
Count of positive/celebratory emoji 0.1 - 2.1 HIGH STEADY
Emoji count relative to sentence count 88% HIGH STEADY
Emoji density in CTA sections 3 - 84 HIGH STEADY
Emoji density in the hook section 7 - 79 HIGH STEADY
Emoji used to replace words entirely 12% HIGH VARIES
How consistently emoji pair with specific words 10% HIGH VARIES
How consistently the same emoji is used for bullets 6% HIGH VARIES
How often the same emoji repeats across the post 7% HIGH VARIES
Largest group of adjacent emoji 56% HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.6 HIGH VARIES
Number of emoji in call-to-action lines 0.1 - 2.1 HIGH STEADY
Number of emoji in the opening hook 0.1 - 3.1 HIGH STEADY
Percentage of emoji that are neutral/functional 42% HIGH VARIES
Percentage of emoji that are positive/celebratory 58% HIGH STEADY
Percentage of lines containing at least one emoji 45% HIGH STEADY
Proportion of emoji appearing in clusters 16% HIGH VARIES
Proportion of emoji that appear multiple times 12% HIGH VARIES
Variety of different emoji used as bullets 3% HIGH VARIES
Whether emoji are used as bullet point markers 6% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji usage in the middle section of the post 0% LOW STEADY
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Whether the post starts with an emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 10% TYPICAL VARIES
Number of bullet point lines using emoji as markers 0.0 - 0.6 TYPICAL VARIES
Number of different emoji types used 0.0 - 1.4 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 - 1.5 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 20% TYPICAL VARIES
Whether any emoji are used in the post 23% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Ratio of negative to positive contractions 86:1 HIGH VARIES
Count of negative contractions used 10% LOW VARIES
Count of positive contractions used 20% LOW VARIES
Number of different contraction types 29% LOW VARIES
Total number of contractions 30% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 38% LOW VARIES
Percentage of words that are contractions 60% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 22% TYPICAL VARIES
Variety of different contractions used 25% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 0 - 30 LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'who' per 1000 words ~0 per 1k words LOW STEADY
Overall grammatical word usage 138 - 247 TYPICAL STEADY
Usage of 'and' per 1000 words 11 - 57 TYPICAL STEADY
Usage of 'as' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'is' per 1000 words 0-21 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'on' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 2 - 62 TYPICAL STEADY
Usage of 'to' per 1000 words 20 - 65 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 26 TYPICAL VARIES
Variety of function words used 31% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 12 HIGH STEADY
Proportion of hashtags in ALL CAPS 8% HIGH VARIES
Proportion of hashtags placed at the end 83% HIGH STEADY
Proportion of hashtags using CamelCase 85% HIGH STEADY
Hashtag density per 100 words 81% LOW VARIES
Proportion of all-lowercase hashtags 2% LOW VARIES
Proportion of hashtags woven into the text 1% LOW VARIES
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 1.4 LOW VARIES
Whether any hashtags are used 23% of posts LOW VARIES
Proportion of hashtags in the opening 16% TYPICAL VARIES
Whether the opening line contains a hashtag 19% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.3 HIGH VARIES
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a clear opening hook section 11% of posts LOW VARIES
ALL CAPS words in the hook 3% TYPICAL STEADY
Character count of the hook 181 - 313 TYPICAL STEADY
Character position where the hook ends 181 - 313 TYPICAL STEADY
Hook length relative to total post 83% TYPICAL STEADY
Hook lines relative to total lines 74% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 83% TYPICAL STEADY
Whether the hook contains a question 13% of posts TYPICAL VARIES
Whether the hook contains emoji 17% of posts TYPICAL VARIES
Whether there's a blank line after the hook 20% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 30 - 45 HIGH STEADY
Lines containing exactly one sentence 83% HIGH STEADY
Percentage of single-word lines 4% HIGH VARIES
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 38% HIGH STEADY
Spacing between content-rich lines 1.6 - 2.3 HIGH STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 2% LOW VARIES
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 8% LOW VARIES
Variation in line lengths 5 - 211 LOW STEADY
Average characters per line 69 - 130 TYPICAL STEADY
Average lines per text block 0.9 - 1.2 TYPICAL STEADY
Average spacing between blank lines 0.4 - 2.5 TYPICAL STEADY
Average words per line 11 - 22 TYPICAL STEADY
Number of visual text blocks 2.1 - 4.2 TYPICAL STEADY
Percentage of very short lines (<5 words) 9% TYPICAL VARIES
Ratio of lines starting with ALL CAPS 3% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 9% LOW VARIES
Average items per emoji list 3% LOW VARIES
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 - 0.2 LOW VARIES
Number of emoji bullet list sections 0.0 - 0.1 LOW VARIES
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 any list structure is used 4% of posts LOW VARIES
Whether emoji bullet lists are used 1% of posts LOW VARIES
Whether numbered lists are used 0% of posts LOW STEADY
Variety of emoji used as bullets 1% TYPICAL STEADY
Whether dash/bullet 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
How often three-word phrases repeat 34% LOW VARIES
How often two-word phrases repeat 0.0 - 5.7 LOW VARIES
Length of longest repeated phrase 76% LOW VARIES
Count of words used only once 27 - 49 TYPICAL STEADY
Number of unique words used 29 - 58 TYPICAL STEADY
Percentage of words used only once 88% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 87% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with discourse markers 0.0-0.4 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.5 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with subordinate clauses (%) 3% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.2 per post LOW VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions 0.0-0.2 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with -ing verbs (%) 76% LOW VARIES
Count of sentences starting with adverbs 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.3 per post TYPICAL VARIES
Count of sentences starting with time words 0.0-0.2 per post TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 97% TYPICAL VARIES
Sentences starting with adverbs (%) 3% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 32 TYPICAL VARIES
Sentences starting with time words (%) 68% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.3 HIGH VARIES
Whether the closing has a signature phrase 33% of posts HIGH VARIES
Whether the closing has emoji clusters 4% HIGH VARIES
Whether the ending has a call-to-action 61% of posts HIGH STEADY
Whether the ending includes hashtags 23% of posts LOW VARIES
ALL CAPS words in the closing 3% TYPICAL STEADY
Character length of the closing 174 - 345 TYPICAL STEADY
Closing length relative to total post 87% TYPICAL STEADY
Whether the ending includes emoji 21% of posts TYPICAL VARIES
Whether the ending is a question 13% TYPICAL VARIES
Whether there's a clear closing section 86% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Average change in length between paragraphs 31% LOW VARIES
Average sentences per paragraph 0.8 - 1.7 LOW STEADY
Average sentences per paragraph 0.8 - 1.7 LOW STEADY
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 20% LOW VARIES
Length of your longer paragraphs (80th percentile) 0.8 - 2.2 LOW STEADY
Typical paragraph length (median) 0.7 - 1.6 LOW STEADY
Variation in length changes between paragraphs 15% LOW VARIES
Consecutive short paragraphs 1.9 - 4.0 TYPICAL STEADY
How frequently new paragraphs start 44 - 85 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.1 - 4.2 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 4% TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 5% TYPICAL STEADY
Percentage of words that are nouns 15 - 29 TYPICAL STEADY
Percentage of words that are prepositions 6 - 15 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 11 - 20 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 3 - 12 LOW STEADY
Total sentence count 1.8 - 4.8 LOW STEADY
Total syllables in the post 50 - 115 LOW STEADY
Total word count of the post 31 - 71 LOW STEADY
Average word complexity (syllables per word) 1.4 - 1.8 TYPICAL STEADY
How easy the text is to read (higher = easier) 37 - 71 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 22 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Colon usage per 1000 words 8-58 per 1k words HIGH STEADY
Comma usage per 1000 words 17-94 per 1k words HIGH STEADY
Ellipsis (...) usage per 1000 words 0-5 per 1k words LOW VARIES
En dash (–) usage per 1000 words 0-3 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-28 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words 0-4 per 1k words LOW VARIES
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Parentheses usage per 1000 words ~0 per 1k words LOW STEADY
Question marks per 1000 words 0-16 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-7 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words 0-8 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-29 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 5% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 32 TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 95% TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 54 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.8 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 54 LOW VARIES
Use of story transitions 5% LOW VARIES
Whether the post tells a story 24% of posts LOW VARIES
Lines using past tense 34% TYPICAL STEADY
Number of narrative/story signals 0.3 - 1.9 TYPICAL STEADY
Whether the post contains quotations 36% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How often paragraphs contain just one sentence 82% HIGH STEADY
Parenthetical breaks per 1000 words 0-8 per 1k words LOW VARIES
Percentage of sentences under 8 words 20% LOW VARIES
Average number of clauses per sentence 1.5 - 3.7 TYPICAL STEADY
Average number of words per sentence 10 - 24 TYPICAL STEADY
Average words per sentence 10 - 24 TYPICAL STEADY
How much sentence length varies (normalized) 56% TYPICAL STEADY
Length of your longer sentences (80th percentile) 16 - 36 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 18 TYPICAL STEADY
Overall sentence complexity 5 - 97 TYPICAL STEADY
Percentage of sentences over 20 words 33% TYPICAL STEADY
Typical sentence length (median) 9 - 24 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.1 TYPICAL VARIES
Variation in sentence lengths 3 - 15 TYPICAL STEADY
Word count of shortest sentence 1 - 17 TYPICAL STEADY
Word count of the longest sentence 17 - 36 TYPICAL STEADY

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