Danielle Delahunty-James's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 54 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 lines containing at least one emoji
signature
7x more
Percentage of emoji that are neutral/functional
signature
5x more
See example from 31 Oct 2025
Emoji count relative to sentence count
signature
7x more
Number of emoji in call-to-action lines
6x more
Average emoji per line of text
6x more
Whether the post starts with an emoji
distinctive
14x more
See example from 31 Oct 2025
Number of emoji in the opening hook
6x more

Does Less Of...

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

Consecutive long paragraphs
consistent
rarely
Percentage of complex words (3+ syllables)
consistent
1.3x less
Typical paragraph length (median)
consistent
1.3x less
Average sentences per paragraph
consistent
1.3x less
Average sentences per paragraph
consistent
1.3x less
Average word complexity (syllables per word)
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 emojis 7 times more than the average LinkedIn user - and not just anywhere. Your call-to-action lines alone pack in 6 times more emoji than most. That's not just a quirk; it's a signature, and you do it without even trying. Even more wild: 5 times more of your emoji are neutral or functional, not just decorative.

This pattern works because it strips out stuffiness and instantly signals clarity, approachability, and intent. Your audience never has to guess your tone or next step - the emoji roadmap is right there. Now try briefing this to a ghostwriter: "Use 7x more emoji than normal, but make them mostly neutral, and ramp it up in CTAs." They'd think you were joking - because this isn't style, it's instinct. You couldn't reverse engineer it if you tried.

You post less than once a week on average, but every piece is stamped with your unmistakable fingerprint. 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

18 Oct 2022 - 04 Sep 2025

0.4 posts/week avg
31/151 active weeks
120 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs using command verbs (Click, Share, Comment, etc.) 23% HIGH VARIES
Whether CTAs are concentrated at the end of the post 7% HIGH VARIES
Whether CTAs include emoji 37% of posts HIGH VARIES
Whether CTAs include hashtags 2% of posts LOW VARIES
Average position of CTAs in the post Upper half TYPICAL STEADY
CTAs phrased as questions vs statements 7% 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 29% HIGH VARIES
Average emoji per line of text 64% HIGH STEADY
Balance between positive and negative emoji 21% HIGH VARIES
Count of neutral/functional emoji 0.8 - 4.7 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.0 HIGH VARIES
Emoji count per 1000 words 0 - 42 HIGH VARIES
Emoji count relative to sentence count 70% HIGH STEADY
Emoji density in CTA sections 10 - 80 HIGH STEADY
Emoji density in the hook section 7 - 50 HIGH STEADY
Emoji usage in the middle section of the post 0 - 125 HIGH VARIES
Emoji used to replace words entirely 11% HIGH VARIES
How consistently the same emoji is used for bullets 14% HIGH VARIES
How often the same emoji repeats across the post 12% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 1.4 HIGH VARIES
Number of different emoji types used 0.0 - 3.6 HIGH VARIES
Number of emoji in call-to-action lines 0.4 - 1.9 HIGH STEADY
Number of emoji in the opening hook 0.3 - 2.7 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 4% HIGH VARIES
Percentage of emoji that are neutral/functional 79% HIGH STEADY
Percentage of emoji that are positive/celebratory 21% HIGH VARIES
Percentage of lines containing at least one emoji 58% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.4 HIGH VARIES
Total number of emoji in the post 0.0 - 4.3 HIGH VARIES
Variety of different emoji used (unique/total ratio) 46% HIGH VARIES
Variety of different emoji used as bullets 5% HIGH VARIES
Whether any emoji are used in the post 52% of posts HIGH STEADY
Whether emoji are used as bullet point markers 14% HIGH VARIES
Whether the post starts with an emoji 39% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Largest group of adjacent emoji 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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
How consistently emoji pair with specific words 1% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Variety of different contractions used 41% HIGH VARIES
Count of negative contractions used 9% LOW VARIES
Usage of negative contractions (don't, won't, can't) 8% LOW VARIES
Count of positive contractions used 50% TYPICAL VARIES
Number of different contraction types 59% TYPICAL VARIES
Percentage of words that are contractions 72% TYPICAL VARIES
Ratio of negative to positive contractions 37:1 TYPICAL VARIES
Total number of contractions 59% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 64% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'by' per 1000 words 0-13 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 per 1k words LOW STEADY
Usage of 'if' per 1000 words 0-10 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-18 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-7 per 1k words LOW VARIES
Overall grammatical word usage 148 - 246 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 38 TYPICAL STEADY
Usage of 'and' per 1000 words 11 - 43 TYPICAL STEADY
Usage of 'as' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 28 TYPICAL STEADY
Usage of 'on' per 1000 words 0 - 23 TYPICAL VARIES
Usage of 'that' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 8 - 55 TYPICAL STEADY
Usage of 'to' per 1000 words 8 - 60 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 39% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 15 HIGH STEADY
Proportion of all-lowercase hashtags 56% HIGH STEADY
Proportion of hashtags in the opening 33% HIGH VARIES
Proportion of hashtags using CamelCase 44% HIGH VARIES
Proportion of hashtags woven into the text 33% HIGH VARIES
Whether the opening line contains a hashtag 33% HIGH VARIES
Hashtag density per 100 words 24% LOW VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Total number of hashtags 0.0 - 0.6 LOW VARIES
Whether any hashtags are used 6% of posts LOW VARIES
Proportion of hashtags placed at the end 33% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 154 TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.6 HIGH VARIES
Whether the hook contains a question 28% of posts HIGH VARIES
Whether the hook contains emoji 43% of posts HIGH VARIES
ALL CAPS words in the hook 2% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 160 - 345 TYPICAL STEADY
Character position where the hook ends 160 - 345 TYPICAL STEADY
Hook length relative to total post 72% TYPICAL STEADY
Hook lines relative to total lines 67% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 72% TYPICAL STEADY
Whether there's a blank line after the hook 22% TYPICAL VARIES
Whether there's a clear opening hook section 30% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Ratio of lines starting with quotes 2% HIGH VARIES
Percentage of single-word lines 0% LOW STEADY
Percentage of very short lines (<5 words) 8% LOW VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Variation in line lengths 0 - 298 LOW VARIES
Average characters per line 63 - 205 TYPICAL STEADY
Average lines per text block 0.9 - 1.5 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.7 TYPICAL VARIES
Average words per line 12 - 34 TYPICAL STEADY
Blank lines per 100 total lines 13 - 45 TYPICAL STEADY
Lines containing exactly one sentence 62% TYPICAL STEADY
Number of visual text blocks 1.0 - 5.6 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 29% TYPICAL STEADY
Ratio of lines starting with numbers 2% TYPICAL VARIES
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Spacing between content-rich lines 0.7 - 2.3 TYPICAL STEADY
Variation in block sizes 40% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 20% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.3 HIGH VARIES
Variety of emoji used as bullets 3% HIGH VARIES
Whether emoji bullet lists are used 7% of posts HIGH VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 2% LOW VARIES
Nesting depth of numbered lists 4% LOW VARIES
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
Whether numbered lists are used 2% of posts LOW VARIES
Average items per dash/bullet list 11% TYPICAL VARIES
Use of inline enumeration 1% TYPICAL VARIES
Whether any list structure is used 13% of posts TYPICAL VARIES
Whether dash/bullet lists are used 4% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 87% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.2 HIGH VARIES
How often three-word phrases repeat 63% LOW VARIES
Count of words used only once 21 - 77 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 7.7 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.7 TYPICAL VARIES
Number of unique words used 22 - 96 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 82% 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 0.0-0.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.7 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 1% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 4% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 53 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 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.9 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.2 HIGH VARIES
Whether the ending includes emoji 44% of posts HIGH VARIES
ALL CAPS words in the closing 1% LOW VARIES
Whether the ending includes hashtags 6% of posts LOW VARIES
Character length of the closing 141 - 396 TYPICAL STEADY
Closing length relative to total post 75% TYPICAL STEADY
Whether the closing has a signature phrase 17% of posts TYPICAL VARIES
Whether the closing has emoji clusters 2% TYPICAL VARIES
Whether the ending has a call-to-action 43% of posts TYPICAL VARIES
Whether the ending is a question 20% TYPICAL VARIES
Whether there's a clear closing section 78% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 95% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 48% LOW VARIES
Variation in length changes between paragraphs 33% LOW VARIES
Average change in length between paragraphs 59% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.1 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.1 TYPICAL STEADY
Consecutive short paragraphs 0.9 - 4.4 TYPICAL STEADY
How frequently new paragraphs start 26 - 68 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.2 - 2.8 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.0 - 5.6 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.1 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 3% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 15 - 28 TYPICAL STEADY
Percentage of words that are prepositions 8 - 16 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 10 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 1.0 - 7.4 LOW STEADY
Average word complexity (syllables per word) 1.3 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 1 - 20 TYPICAL STEADY
How easy the text is to read (higher = easier) 41 - 75 TYPICAL STEADY
Percentage of complex words (3+ syllables) 7 - 19 TYPICAL STEADY
Total syllables in the post 28 - 209 TYPICAL STEADY
Total word count of the post 19 - 136 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-6 per 1k words HIGH VARIES
Percentage of sentences ending with a question 10% HIGH VARIES
Quotation mark usage per 1000 words 0-19 per 1k words HIGH VARIES
Ellipsis (...) usage per 1000 words 0-5 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-24 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
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Parentheses usage per 1000 words 0-5 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 0 - 33 LOW VARIES
Semicolon usage per 1000 words 0-1 per 1k words LOW VARIES
Colon usage per 1000 words 0-38 per 1k words TYPICAL VARIES
Comma usage per 1000 words 7-55 per 1k words TYPICAL STEADY
Em dash (—) usage per 1000 words 0-6 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-30 per 1k words TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Question marks per 1000 words 0-21 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 2% HIGH VARIES
Whether the post contains quotations 63% of posts HIGH STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Average length of quoted passages 0 - 87 TYPICAL VARIES
Lines using past tense 38% TYPICAL STEADY
Number of narrative/story signals 0.6 - 2.2 TYPICAL STEADY
Number of quotation blocks 0.1 - 1.4 TYPICAL STEADY
Total characters in quoted content 0 - 103 TYPICAL VARIES
Use of story transitions 7% TYPICAL VARIES
Whether the post tells a story 52% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your shorter sentences (20th percentile) 3 - 26 HIGH STEADY
Overall sentence complexity 9 - 116 HIGH STEADY
Percentage of sentences over 20 words 42% HIGH STEADY
Word count of shortest sentence 1 - 24 HIGH STEADY
Parenthetical breaks per 1000 words 0-10 per 1k words LOW VARIES
Percentage of sentences under 8 words 17% LOW VARIES
Average number of clauses per sentence 1.7 - 3.7 TYPICAL STEADY
Average number of words per sentence 12 - 30 TYPICAL STEADY
Average words per sentence 12 - 30 TYPICAL STEADY
How much sentence length varies (normalized) 49% TYPICAL STEADY
How often paragraphs contain just one sentence 57% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 40 TYPICAL STEADY
Typical sentence length (median) 10 - 30 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.3 TYPICAL VARIES
Variation in sentence lengths 2 - 16 TYPICAL STEADY
Word count of the longest sentence 18 - 47 TYPICAL STEADY

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