Jamie Curtis's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 15 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

Proportion of emoji appearing in clusters
signature
27x more
Number of emoji in call-to-action lines
signature
14x more
Average number of emoji appearing together in clusters
signature
28x more
Largest group of adjacent emoji
signature
24x more
Average emoji per line of text
signature
13x more
Whether the closing has emoji clusters
signature
25x more
Number of emoji in the opening hook
signature
9x more

Does Less Of...

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

Whether the ending has a call-to-action
consistent
rarely
Use of 'you/your' in the hook
consistent
rarely
Whether the closing has a signature phrase
consistent
rarely
CTAs using command verbs (Click, Share, Comment, etc.)
consistent
rarely
Whether CTAs include hashtags
consistent
rarely
Whether any list structure is used
consistent
rarely
Whether CTAs include emoji
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 emoji clusters in your LinkedIn posts 27 times more than the average writer. Not just single smileys or the occasional thumbs-up - when you drop emoji, you do it in packs. Your call-to-action lines alone stack 14 times more emoji than most, and when you go for it, your largest group of adjacent emoji is 24 times the norm. The average line of your text? Stuffed with 13 times more emoji than everyone else.

It works because it's unmistakably you - a visual signature that's impossible to fake. Every cluster of icons signals energy and personality, inviting readers in without ever spelling it out. Now try briefing this to a ghostwriter: "Just toss in 28 times more emoji than normal, but never the way anyone else does." They'd stare at you blankly. This isn't a checklist - it's muscle memory. You couldn't replicate it on command if you tried.

You show up less than once a week, but when you do, there's no mistaking 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.

Style Evolution

How your writing has changed (Jul 2021 - Sep 2025)

Recent 9 posts since Dec 2023
vs
Earlier 6 posts before Dec 2023
Hashtag usage Declining (83% → 22%)
Less
Opening hashtags Declining (67% → 11%)
Less

Style patterns based on 15 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

02 Jul 2021 - 24 Sep 2025

0.1 posts/week avg
15/222 active weeks
207 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 0% LOW STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 0% LOW STEADY
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include emoji 0% of posts LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Whether any call-to-action exists 33% of posts LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 0.3 - 2.5 HIGH STEADY
Average number of emoji appearing together in clusters 0.0 - 4.1 HIGH STEADY
Balance between positive and negative emoji 22% HIGH VARIES
Count of neutral/functional emoji 0.3 - 4.2 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.4 HIGH VARIES
Emoji count per 1000 words 0 - 530 HIGH VARIES
Emoji count relative to sentence count 97% HIGH STEADY
Emoji density in CTA sections 0 - 658 HIGH VARIES
Emoji density in the hook section 0 - 606 HIGH VARIES
Emoji used to replace words entirely 43% HIGH STEADY
How consistently emoji pair with specific words 6% HIGH VARIES
How often the same emoji repeats across the post 6% HIGH VARIES
Largest group of adjacent emoji 0.3 - 3.4 HIGH STEADY
Number of different emoji types used 0.2 - 4.0 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.2 - 1.2 HIGH STEADY
Number of emoji in call-to-action lines 0.7 - 4.3 HIGH STEADY
Number of emoji in the opening hook 0.9 - 3.4 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 6% HIGH VARIES
Percentage of emoji that are neutral/functional 78% HIGH STEADY
Percentage of emoji that are positive/celebratory 22% HIGH VARIES
Percentage of lines containing at least one emoji 56% HIGH STEADY
Proportion of emoji appearing in clusters 64% HIGH STEADY
Proportion of emoji that appear multiple times 8% HIGH VARIES
Total number of emoji in the post 0.3 - 4.1 HIGH STEADY
Variety of different emoji used (unique/total ratio) 76% HIGH STEADY
Whether any emoji are used in the post 80% of posts HIGH STEADY
Whether the post starts with an emoji 8% 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
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
Percentage of lines that contain only emoji 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
Total count of repeated emoji across the post 0.0 - 0.7 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 0% LOW STEADY
Ratio of negative to positive contractions balanced LOW STEADY
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Count of positive contractions used 53% TYPICAL VARIES
Number of different contraction types 40% TYPICAL VARIES
Percentage of words that are contractions 63% TYPICAL VARIES
Total number of contractions 53% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 63% TYPICAL VARIES
Variety of different contractions used 22% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-28 per 1k words HIGH VARIES
Usage of 'at' per 1000 words 0 - 37 HIGH VARIES
Usage of 'that' per 1000 words 0 - 39 HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'for' per 1000 words 0-13 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-19 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'who' per 1000 words ~0 per 1k words LOW STEADY
Overall grammatical word usage 126 - 288 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'and' per 1000 words 0 - 51 TYPICAL STEADY
Usage of 'but' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 1 - 42 TYPICAL STEADY
Usage of 'on' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 4 - 58 TYPICAL STEADY
Usage of 'to' per 1000 words 11 - 67 TYPICAL STEADY
Usage of 'which' per 1000 words 0-4 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 22 TYPICAL VARIES
Variety of function words used 33% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 14 HIGH STEADY
Hashtag density per 100 words 0 - 36 HIGH VARIES
Proportion of all-lowercase hashtags 48% HIGH STEADY
Proportion of hashtags in the opening 67% HIGH STEADY
Proportion of hashtags using CamelCase 52% HIGH STEADY
Whether the opening line contains a hashtag 71% HIGH STEADY
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Proportion of hashtags placed at the end 33% TYPICAL VARIES
Total number of hashtags 0.0 - 3.0 TYPICAL VARIES
Whether any hashtags are used 47% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.2 - 2.9 HIGH STEADY
Whether the hook contains emoji 67% of posts HIGH STEADY
Whether there's a blank line after the hook 40% HIGH VARIES
Negation words in the hook 0.0 - 0.5 LOW VARIES
Use of 'you/your' in the hook 0% LOW STEADY
Whether the hook contains a question 7% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a clear opening hook section 13% of posts LOW VARIES
ALL CAPS words in the hook 3% TYPICAL VARIES
Character count of the hook 125 - 329 TYPICAL STEADY
Character position where the hook ends 125 - 329 TYPICAL STEADY
Hook length relative to total post 84% TYPICAL STEADY
Hook lines relative to total lines 79% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 84% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Ratio of lines starting with ALL CAPS 11% HIGH VARIES
Number of visual text blocks 0.7 - 3.7 LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 7% LOW VARIES
Average characters per line 81 - 155 TYPICAL STEADY
Average lines per text block 0.8 - 1.8 TYPICAL STEADY
Average spacing between blank lines 87% TYPICAL VARIES
Average words per line 12 - 26 TYPICAL STEADY
Blank lines per 100 total lines 0 - 39 TYPICAL VARIES
Lines containing exactly one sentence 51% TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 13% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 18% TYPICAL VARIES
Spacing between content-rich lines 0.3 - 2.0 TYPICAL STEADY
Variation in line lengths 2 - 357 TYPICAL STEADY
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
Use of inline enumeration 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
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 13 - 52 LOW STEADY
How often three-word phrases repeat 0.0 - 3.3 TYPICAL VARIES
How often two-word phrases repeat 0 - 11 TYPICAL STEADY
Length of longest repeated phrase 0.1 - 3.1 TYPICAL STEADY
Number of unique words used 14 - 69 TYPICAL STEADY
Percentage of words used only once 85% 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 adverbs 0.0-0.6 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 0.0-0.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.3 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% HIGH VARIES
Sentences starting with And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with subordinate clauses (%) 2% HIGH VARIES
Sentences starting with time words (%) 1% 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 -ing verbs 0.0-0.3 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.4 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with adverbs (%) 4% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 46 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.2 - 4.0 HIGH STEADY
Whether the closing has emoji clusters 60% HIGH STEADY
Whether the ending includes emoji 73% of posts HIGH STEADY
Whether the closing has a signature phrase 0% of posts LOW STEADY
Whether the ending has a call-to-action 0% of posts LOW STEADY
Whether the ending is a question 7% LOW VARIES
Whether there's a clear closing section 33% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 101 - 429 TYPICAL STEADY
Closing length relative to total post 90% TYPICAL STEADY
Whether the ending includes hashtags 47% of posts TYPICAL VARIES
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 97% HIGH STEADY
Consecutive long paragraphs 7% LOW VARIES
How much paragraph length varies 56% LOW STEADY
Total number of paragraphs 1.2 - 3.8 LOW STEADY
Variation in length changes between paragraphs 5% LOW VARIES
Average change in length between paragraphs 95% TYPICAL STEADY
Average sentences per paragraph 0.8 - 2.7 TYPICAL STEADY
Average sentences per paragraph 0.8 - 2.7 TYPICAL STEADY
Consecutive short paragraphs 0.8 - 3.3 TYPICAL STEADY
How frequently new paragraphs start 0 - 199 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.2 - 3.2 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Typical paragraph length (median) 0.7 - 2.7 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are pronouns 5% LOW STEADY
Balance/distribution of different word types Fairly consistent 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 3% TYPICAL STEADY
Percentage of words that are determiners 5% TYPICAL STEADY
Percentage of words that are nouns 12 - 34 TYPICAL STEADY
Percentage of words that are prepositions 10% TYPICAL STEADY
Percentage of words that are verbs 9% TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 2 - 16 LOW STEADY
Total sentence count 1.8 - 5.2 LOW STEADY
Total syllables in the post 19 - 164 LOW STEADY
Total word count of the post 10 - 100 LOW STEADY
Average word complexity (syllables per word) 1.4 - 2.2 TYPICAL STEADY
How easy the text is to read (higher = easier) 7 - 72 TYPICAL STEADY
Percentage of complex words (3+ syllables) 1 - 46 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-17 per 1k words HIGH VARIES
Hyphen usage per 1000 words 0-51 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 6 - 64 HIGH STEADY
Colon usage per 1000 words 0-28 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
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 2% LOW VARIES
Question marks per 1000 words 0-8 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 0-58 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 3-42 per 1k words TYPICAL STEADY
Parentheses usage per 1000 words 0-18 per 1k words TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 25 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 43 LOW VARIES
Use of story transitions 6% LOW VARIES
Lines using past tense 51% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.3 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL VARIES
Whether the post contains quotations 53% of posts TYPICAL STEADY
Whether the post tells a story 53% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.3 - 2.8 TYPICAL STEADY
Average number of words per sentence 8 - 23 TYPICAL STEADY
Average words per sentence 8 - 23 TYPICAL STEADY
How much sentence length varies (normalized) 59% TYPICAL STEADY
How often paragraphs contain just one sentence 50% TYPICAL STEADY
Length of your longer sentences (80th percentile) 11 - 39 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 17 TYPICAL STEADY
Overall sentence complexity 8 - 64 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-18 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 27% TYPICAL VARIES
Percentage of sentences under 8 words 30% TYPICAL VARIES
Typical sentence length (median) 7 - 22 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.7 TYPICAL VARIES
Variation in sentence lengths 2 - 16 TYPICAL STEADY
Word count of shortest sentence 1 - 13 TYPICAL STEADY
Word count of the longest sentence 11 - 40 TYPICAL STEADY

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