Marghaid Jones's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 58 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
10x more
Average emoji per line of text
signature
10x more
Percentage of emoji that are positive/celebratory
signature
13x more
See example from 16 Oct 2025
Number of emoji in call-to-action lines
signature
8x more
Emoji count relative to sentence count
signature
9x more
Number of emoji in the opening hook
signature
6x more
Balance between positive and negative emoji
distinctive
12x more

Does Less Of...

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

Consecutive long paragraphs
consistent
rarely
Total syllables in the post
1.9x less
Use of 'you/your' in the hook
consistent
1.8x less
Number of unique words used
1.5x less
Count of words used only once
1.4x 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 10 times more emojis per line than the average LinkedIn author - and a staggering 13 times more positive or celebratory emojis. It's not just a sprinkle; it's a full-on confetti cannon. Your posts aren't just written, they're *festive*, broadcasting energy and good vibes in every call-to-action (where you also use 8x more emojis than most).

Why does this work? It signals relentless positivity and approachability, making every line feel like an invitation to join the celebration. Now try briefing this to a ghostwriter: "Just make every line 10x more emoji-packed than normal, but keep it feeling natural - especially in the calls to action." They'd think you're unhinged. Because this isn't a style guide, it's muscle memory. Even you couldn't fake it if you tried.

With less than one post a week, your style is rare - but 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.

Style Evolution

How your writing has changed (Jan 2023 - Oct 2025)

Recent 27 posts since Dec 2023
vs
Earlier 31 posts before Dec 2023
Hashtag usage Declining (32% β†’ 15%)
Less

Style patterns based on 58 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

25 Jan 2023 - 30 Oct 2025

0.4 posts/week avg
47/145 active weeks
98 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 14% of posts HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 3% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 3% of posts LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
Whether any call-to-action exists 55% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 15% HIGH VARIES
Average emoji per line of text 0.6 - 1.6 HIGH STEADY
Average number of emoji appearing together in clusters 22% HIGH VARIES
Balance between positive and negative emoji 52% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.8 HIGH VARIES
Count of positive/celebratory emoji 0.1 - 1.6 HIGH STEADY
Emoji count per 1000 words 0 - 73 HIGH VARIES
Emoji count relative to sentence count 82% HIGH STEADY
Emoji density in CTA sections 0 - 116 HIGH VARIES
Emoji density in the hook section 0 - 113 HIGH VARIES
Emoji used to replace words entirely 7% HIGH VARIES
How consistently the same emoji is used for bullets 7% HIGH VARIES
How often the same emoji repeats across the post 7% HIGH VARIES
Largest group of adjacent emoji 22% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 0.8 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.4 HIGH VARIES
Number of emoji in call-to-action lines 0.8 - 2.0 HIGH STEADY
Number of emoji in the opening hook 0.9 - 2.1 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 4% HIGH VARIES
Percentage of emoji that are negative/warning 7% HIGH VARIES
Percentage of emoji that are neutral/functional 33% HIGH VARIES
Percentage of emoji that are positive/celebratory 59% HIGH STEADY
Percentage of lines containing at least one emoji 81% HIGH STEADY
Proportion of emoji appearing in clusters 11% HIGH VARIES
Variety of different emoji used (unique/total ratio) 43% HIGH VARIES
Variety of different emoji used as bullets 5% HIGH VARIES
Whether any emoji are used in the post 47% of posts HIGH VARIES
Whether emoji are used as bullet point markers 7% HIGH VARIES
Emoji usage in the middle section of the post 0% LOW STEADY
How consistently emoji pair with specific words 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Whether the post starts with an emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Count of neutral/functional emoji 0.0 - 1.8 TYPICAL VARIES
Number of different emoji types used 0.0 - 1.6 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 - 1.8 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 5% LOW VARIES
Ratio of negative to positive contractions 17:1 LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Count of positive contractions used 53% TYPICAL VARIES
Number of different contraction types 57% TYPICAL VARIES
Percentage of words that are contractions 96% TYPICAL VARIES
Total number of contractions 59% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 90% TYPICAL VARIES
Variety of different contractions used 30% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 39 HIGH VARIES
Usage of 'so' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'but' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-19 per 1k words LOW VARIES
Overall grammatical word usage 154 - 264 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 45 TYPICAL VARIES
Usage of 'and' per 1000 words 1 - 45 TYPICAL STEADY
Usage of 'as' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 37 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 34 TYPICAL VARIES
Usage of 'on' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-21 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 10 - 68 TYPICAL STEADY
Usage of 'to' per 1000 words 13 - 65 TYPICAL STEADY
Usage of 'which' per 1000 words 0-4 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-25 per 1k words TYPICAL VARIES
Variety of function words used 32% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 17 HIGH STEADY
Proportion of all-lowercase hashtags 71% HIGH STEADY
Proportion of hashtags in ALL CAPS 7% HIGH VARIES
Proportion of hashtags in the opening 57% HIGH STEADY
Proportion of hashtags placed at the end 36% HIGH VARIES
Proportion of hashtags woven into the text 7% HIGH VARIES
Whether the opening line contains a hashtag 57% HIGH STEADY
Hashtag density per 100 words 0.0 - 3.4 LOW VARIES
Total number of hashtags 0.0 - 1.2 LOW VARIES
Whether any hashtags are used 24% of posts LOW VARIES
Proportion of hashtags using CamelCase 21% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 148 TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.5 HIGH VARIES
Whether the hook contains emoji 47% of posts HIGH VARIES
Whether the hook starts with a conjunction 5% HIGH VARIES
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook contains a question 3% of posts LOW VARIES
Whether there's a clear opening hook section 5% of posts LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 130 - 317 TYPICAL STEADY
Character position where the hook ends 130 - 317 TYPICAL STEADY
Hook length relative to total post 92% TYPICAL STEADY
Hook lines relative to total lines 84% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 92% TYPICAL STEADY
Whether there's a blank line after the hook 17% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of single-word lines 3% HIGH VARIES
Average spacing between blank lines 39% LOW VARIES
Blank lines per 100 total lines 0 - 26 LOW VARIES
Number of visual text blocks 0.0 - 3.7 LOW VARIES
Proportion of blank space 10% LOW VARIES
Ratio of lines starting with ALL CAPS 1% LOW STEADY
Ratio of lines starting with punctuation 1% LOW VARIES
Spacing between content-rich lines 71% LOW VARIES
Variation in block sizes 7% LOW VARIES
Average characters per line 72 - 246 TYPICAL STEADY
Average lines per text block 0.8 - 1.9 TYPICAL STEADY
Average words per line 12 - 43 TYPICAL STEADY
Lines containing exactly one sentence 46% TYPICAL STEADY
Percentage of very short lines (<5 words) 11% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL VARIES
Ratio of lines starting with numbers 1% TYPICAL VARIES
Ratio of lines starting with quotes 1% TYPICAL VARIES
Variation in line lengths 0 - 731 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Use of inline enumeration 3% HIGH VARIES
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 2% LOW VARIES
Nesting depth of numbered lists 5% LOW VARIES
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 - 0.1 LOW VARIES
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 2% of posts LOW VARIES
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 2% of posts LOW 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 33% LOW VARIES
How often two-word phrases repeat 0.0 - 5.3 LOW VARIES
Length of longest repeated phrase 62% LOW VARIES
Number of unique words used 14 - 65 LOW STEADY
Count of words used only once 16 - 53 TYPICAL STEADY
Percentage of words used only once 89% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 88% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with There is/It is 0.0-0.4 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.0 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 0.0-0.7 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.7 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 3% HIGH VARIES
Sentences starting with -ing verbs (%) 4% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 5% HIGH VARIES
Sentences starting with And, But, Or, So (%) 5% HIGH VARIES
Sentences starting with adverbs (%) 0 - 46 HIGH VARIES
Sentences starting with subordinate clauses (%) 10% HIGH VARIES
Sentences starting with time words (%) 9% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with conjunctions 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.1 per post TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 44 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.7 HIGH VARIES
Whether the closing has a signature phrase 28% of posts HIGH VARIES
Whether the closing has emoji clusters 5% HIGH VARIES
Whether the ending includes emoji 47% of posts HIGH VARIES
Whether the ending includes hashtags 24% of posts LOW VARIES
Whether the ending is a question 5% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 129 - 339 TYPICAL STEADY
Closing length relative to total post 94% TYPICAL STEADY
Whether the ending has a call-to-action 31% of posts TYPICAL VARIES
Whether there's a clear closing section 60% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 83% HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
Consecutive short paragraphs 0.0 - 3.6 LOW VARIES
How much paragraph length varies 79% LOW VARIES
Total number of paragraphs 0.1 - 3.9 LOW STEADY
Variation in length changes between paragraphs 17% LOW VARIES
Average change in length between paragraphs 86% TYPICAL VARIES
Average sentences per paragraph 1.0 - 2.6 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.6 TYPICAL STEADY
How frequently new paragraphs start 17 - 80 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.1 - 3.0 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.6 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 8% TYPICAL STEADY
Percentage of words that are nouns 13 - 24 TYPICAL STEADY
Percentage of words that are prepositions 7 - 16 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 8 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 1 - 12 LOW STEADY
Total sentence count 1.2 - 4.0 LOW STEADY
Total syllables in the post 13 - 133 LOW STEADY
Total word count of the post 9 - 85 LOW STEADY
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
How easy the text is to read (higher = easier) 39 - 73 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 20 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Mixed punctuation clusters per 1000 words 0-9 per 1k words HIGH VARIES
Ellipsis (...) usage per 1000 words 0-1 per 1k words LOW VARIES
Em dash (β€”) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage 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 1% LOW VARIES
Percentage of sentences trailing off with ellipsis 29% LOW VARIES
Question marks per 1000 words 0-9 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-12 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-44 per 1k words TYPICAL VARIES
Comma usage per 1000 words 0-49 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-32 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-29 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-9 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 43 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Use of story transitions 18% HIGH VARIES
Average length of quoted passages 0 - 122 TYPICAL VARIES
Lines starting with quotation marks 1% TYPICAL VARIES
Lines using past tense 50% TYPICAL STEADY
Number of narrative/story signals 0.4 - 2.2 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL VARIES
Presence of dialogue attribution patterns 0% TYPICAL STEADY
Total characters in quoted content 0 - 216 TYPICAL VARIES
Whether the post contains quotations 34% of posts TYPICAL VARIES
Whether the post tells a story 45% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your shorter sentences (20th percentile) 2 - 27 HIGH STEADY
Overall sentence complexity 0 - 143 HIGH VARIES
Percentage of sentences over 20 words 42% HIGH STEADY
Word count of shortest sentence 1 - 27 HIGH STEADY
Parenthetical breaks per 1000 words 0-10 per 1k words LOW VARIES
Percentage of sentences under 8 words 19% LOW VARIES
Average number of clauses per sentence 1.2 - 4.0 TYPICAL STEADY
Average number of words per sentence 10 - 32 TYPICAL STEADY
Average words per sentence 10 - 32 TYPICAL STEADY
How much sentence length varies (normalized) 44% TYPICAL STEADY
How often paragraphs contain just one sentence 45% TYPICAL STEADY
Length of your longer sentences (80th percentile) 15 - 40 TYPICAL STEADY
Typical sentence length (median) 9 - 31 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.7 TYPICAL VARIES
Variation in sentence lengths 0 - 16 TYPICAL VARIES
Word count of the longest sentence 10 - 47 TYPICAL STEADY

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