Paul Thompson's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 75 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 neutral/functional
↓ declining
5x more
See example from 12 May 2025
Proportion of hashtags woven into the text
8x more
Emoji count relative to sentence count
↓ declining
6x more
Emoji density in the hook section
↓ declining
13x more
Average character length of hashtags
consistent
2x more
Number of emoji in the opening hook
↓ declining
6x more
Lines containing exactly one sentence
consistent
1.6x more

Does Less Of...

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

Average characters per line
1.8x less
Average words per line
1.8x less
Typical paragraph length (median)
consistent
1.6x less
Average sentences per paragraph
consistent
1.5x less
Average sentences per paragraph
consistent
1.5x less
Length of your longer paragraphs (80th percentile)
1.5x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you weave hashtags into your text 8 times more than the average LinkedIn author - not tacked on at the end, but embedded right in the flow. It’s not just more frequent, either: your hashtags are twice as long, and you drop neutral, functional emoji into your hooks at 13 times the typical density. You’re not following a playbook - you’re bending the platform to your own rhythm.

This works because it signals control and intentionality to your readers. You’re breaking up the feed with compact lines (1.8x shorter than average), punchy paragraphs, and a barrage of visual signposts, making complex points feel effortless. Now try briefing a ghostwriter: “Hey, embed 8x more hashtags than normal, but blend them into every thought, keep your sentences short, and drop emoji in every hook - but make them neutral, not expressive.” They’d think you were joking. You couldn’t reverse-engineer this style if you tried.

You post less than once a week, but every post is unmistakably yours. 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 (Sep 2023 - Dec 2025)

Recent 57 posts since Dec 2023
vs
Earlier 18 posts before Dec 2023
Opening hashtags Started recently (19% in last 2 years, was 0% before)
New
Emoji usage Declining (17% → 7%)
Less

Style patterns based on 75 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

12 Sep 2023 - 02 Dec 2025

0.6 posts/week avg
53/117 active weeks
64 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 15% HIGH VARIES
Whether CTAs are concentrated at the end of the post 9% HIGH VARIES
Whether CTAs include emoji 1% of posts LOW VARIES
Whether CTAs include hashtags 7% of posts LOW VARIES
Average position of CTAs in the post Upper half TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 9% TYPICAL VARIES
Whether any call-to-action exists 48% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 38% HIGH STEADY
Average number of emoji appearing together in clusters 60% HIGH VARIES
Balance between positive and negative emoji 32% HIGH VARIES
Count of neutral/functional emoji 0.0 - 3.6 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 0.9 HIGH VARIES
Emoji count relative to sentence count 55% HIGH VARIES
Emoji density in CTA sections 0 - 118 HIGH VARIES
Emoji density in the hook section 0 - 243 HIGH VARIES
Emoji used to replace words entirely 28% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How often the same emoji repeats across the post 8% HIGH VARIES
Largest group of adjacent emoji 60% 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 - 1.1 HIGH STEADY
Number of emoji in the opening hook 0.0 - 3.7 HIGH VARIES
Percentage of emoji that are 'corpspeak' type 10% HIGH VARIES
Percentage of emoji that are neutral/functional 68% HIGH STEADY
Percentage of emoji that are positive/celebratory 32% HIGH VARIES
Percentage of lines containing at least one emoji 28% HIGH STEADY
Percentage of lines that contain only emoji 3% HIGH VARIES
Proportion of emoji appearing in clusters 11% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.0 HIGH VARIES
Whether the post starts with an emoji 20% HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji usage in the middle section of the post 2% LOW VARIES
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
Number of different emoji types used 0.0 - 1.0 LOW VARIES
Percentage of emoji that are negative/warning 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total number of emoji in the post 0.0 - 1.2 LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether any emoji are used in the post 13% of posts LOW VARIES
Whether emoji are used as bullet point markers 0% LOW STEADY
Average distance between repeated emoji 5% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 7% TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 12% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 43% HIGH VARIES
Count of positive contractions used 0.0 - 3.1 HIGH VARIES
Number of different contraction types 0.0 - 3.4 HIGH VARIES
Percentage of words that are contractions 3% HIGH VARIES
Ratio of negative to positive contractions 53:1 HIGH VARIES
Total number of contractions 0.0 - 4.0 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 58% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH VARIES
Variety of different contractions used 57% HIGH STEADY
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'but' per 1000 words 0-21 per 1k words HIGH VARIES
Usage of 'if' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'as' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'at' per 1000 words 0-10 per 1k words LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'of' per 1000 words 0-24 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Overall grammatical word usage 125 - 263 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 61 TYPICAL VARIES
Usage of 'and' per 1000 words 5 - 52 TYPICAL STEADY
Usage of 'by' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'on' per 1000 words 0-31 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 3 - 60 TYPICAL STEADY
Usage of 'to' per 1000 words 0 - 52 TYPICAL VARIES
Usage of 'who' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-22 per 1k words TYPICAL VARIES
Variety of function words used 33% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 63% HIGH STEADY
Proportion of hashtags in the opening 27% HIGH VARIES
Proportion of hashtags placed at the end 41% HIGH VARIES
Proportion of hashtags using CamelCase 34% HIGH VARIES
Proportion of hashtags woven into the text 32% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 447 HIGH VARIES
Whether the opening line contains a hashtag 33% HIGH VARIES
Hashtag density per 100 words 0.0 - 7.4 TYPICAL VARIES
Proportion of hashtags in ALL CAPS 3% TYPICAL VARIES
Total number of hashtags 0.0 - 3.5 TYPICAL VARIES
Whether any hashtags are used 44% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.1 HIGH VARIES
Whether the hook contains a question 39% of posts HIGH VARIES
Whether the hook contains emoji 7% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 3% TYPICAL VARIES
Character count of the hook 94 - 267 TYPICAL STEADY
Character position where the hook ends 94 - 267 TYPICAL STEADY
Hook length relative to total post 65% TYPICAL STEADY
Hook lines relative to total lines 63% TYPICAL STEADY
Number of emoji in the hook 0.0 - 1.1 TYPICAL VARIES
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 65% TYPICAL STEADY
Whether there's a blank line after the hook 15% TYPICAL VARIES
Whether there's a clear opening hook section 40% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.4 - 3.1 HIGH STEADY
Blank lines per 100 total lines 18 - 48 HIGH STEADY
Lines containing exactly one sentence 84% HIGH STEADY
Percentage of single-word lines 5% HIGH VARIES
Percentage of very short lines (<5 words) 22% HIGH VARIES
Proportion of blank space 33% HIGH STEADY
Ratio of lines starting with quotes 3% HIGH VARIES
Variation in block sizes 77% HIGH VARIES
Average characters per line 33 - 120 LOW STEADY
Average words per line 6 - 20 LOW STEADY
Ratio of lines starting with ALL CAPS 1% LOW VARIES
Ratio of lines starting with numbers 1% LOW STEADY
Variation in line lengths 0 - 275 LOW VARIES
Average lines per text block 0.0 - 3.8 TYPICAL VARIES
Number of visual text blocks 1.6 - 6.8 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Spacing between content-rich lines 1.0 - 2.3 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
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 - 0.2 LOW VARIES
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
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 4% of posts LOW VARIES
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 16% TYPICAL VARIES
Use of inline enumeration 1% TYPICAL STEADY
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 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
How often three-word phrases repeat 58% LOW VARIES
Count of words used only once 16 - 62 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 7.1 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.6 TYPICAL VARIES
Number of unique words used 17 - 77 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 84% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-0.8 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 0.0-0.6 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.8 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 42 HIGH VARIES
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.3 per post TYPICAL 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' (%) 43% TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending is a question 40% HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Number of emoji in the closing 0.0 - 0.5 LOW VARIES
Whether the closing has emoji clusters 1% LOW VARIES
Whether the ending has a call-to-action 17% of posts LOW VARIES
Whether the ending includes emoji 9% of posts LOW VARIES
Character length of the closing 97 - 291 TYPICAL STEADY
Closing length relative to total post 68% TYPICAL STEADY
Whether the closing has a signature phrase 23% of posts TYPICAL VARIES
Whether the ending includes hashtags 36% 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
Closing paragraph length vs body average 1% HIGH STEADY
Average sentences per paragraph 0.7 - 1.9 LOW STEADY
Average sentences per paragraph 0.7 - 1.9 LOW STEADY
Consecutive long paragraphs 4% LOW VARIES
How much paragraph length varies 49% LOW VARIES
Length of your longer paragraphs (80th percentile) 0.7 - 2.7 LOW STEADY
Typical paragraph length (median) 0.6 - 1.7 LOW STEADY
Variation in length changes between paragraphs 37% LOW VARIES
Average change in length between paragraphs 53% TYPICAL VARIES
Consecutive short paragraphs 1.0 - 6.9 TYPICAL STEADY
How frequently new paragraphs start 30 - 150 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.4 - 7.6 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are adverbs 5% HIGH STEADY
Balance/distribution of different word types Moderately varied TYPICAL STEADY
Percentage of auxiliary/helper verbs 7% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 15 - 29 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 5 - 16 TYPICAL STEADY
Percentage of words that are verbs 8 - 18 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 2 - 15 LOW STEADY
Average word complexity (syllables per word) 1.3 - 1.8 TYPICAL STEADY
How easy the text is to read (higher = easier) 42 - 85 TYPICAL STEADY
Percentage of complex words (3+ syllables) 5 - 23 TYPICAL STEADY
Total sentence count 1.7 - 8.1 TYPICAL STEADY
Total syllables in the post 25 - 159 TYPICAL STEADY
Total word count of the post 15 - 106 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-42 per 1k words HIGH VARIES
Hyphen usage per 1000 words 0-62 per 1k words HIGH VARIES
Multiple question marks per 1000 words 0-6 per 1k words HIGH VARIES
Percentage of sentences ending with a question 0 - 45 HIGH VARIES
Percentage of sentences trailing off with ellipsis 8% HIGH VARIES
Question marks per 1000 words 0-50 per 1k words HIGH VARIES
Quotation mark usage per 1000 words 0-39 per 1k words HIGH VARIES
Colon usage per 1000 words 0-21 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-1 per 1k words LOW VARIES
En dash (–) usage per 1000 words 0-2 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-18 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words 0-2 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 7% LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 12-75 per 1k words TYPICAL STEADY
Parentheses usage per 1000 words 0-15 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 3% HIGH VARIES
Number of quotation blocks 0.1 - 2.1 HIGH STEADY
Total characters in quoted content 0 - 169 HIGH VARIES
Whether the post contains quotations 68% of posts HIGH STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Average length of quoted passages 0 - 85 TYPICAL VARIES
Lines using past tense 34% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.4 TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Whether the post tells a story 47% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How often paragraphs contain just one sentence 79% HIGH STEADY
Average number of clauses per sentence 1.2 - 2.7 TYPICAL STEADY
Average number of words per sentence 7 - 19 TYPICAL STEADY
Average words per sentence 7 - 19 TYPICAL STEADY
How much sentence length varies (normalized) 63% TYPICAL STEADY
Length of your longer sentences (80th percentile) 9 - 36 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 1 - 13 TYPICAL STEADY
Overall sentence complexity 4 - 55 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-15 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 20% TYPICAL VARIES
Percentage of sentences under 8 words 36% TYPICAL STEADY
Typical sentence length (median) 6 - 17 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.9 TYPICAL VARIES
Variation in sentence lengths 2 - 15 TYPICAL STEADY
Word count of shortest sentence 1 - 11 TYPICAL STEADY
Word count of the longest sentence 11 - 40 TYPICAL STEADY

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