Josh Bradley's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 45 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
signature
6x more
See example from 08 Jan 2025
Percentage of lines containing at least one emoji
consistent
5x more
Proportion of all-lowercase hashtags
consistent
3x more
Emoji count relative to sentence count
6x more
Average character length of hashtags
consistent
2x more
Number of emoji in the opening hook
5x more
Average emoji per line of text
consistent
4x more

Does Less Of...

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

Consecutive long paragraphs
consistent
rarely
Whether any list structure is used
consistent
rarely
Usage of 'so' per 1000 words
consistent
rarely
Ratio of lines starting with punctuation
consistent
rarely
Whether dash/bullet lists are used
consistent
rarely
Usage of 'because' per 1000 words
consistent
rarely
Count of sentences starting with conjunctions
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts contain 6 times more neutral or functional emoji than the average LinkedIn user - and you pack emoji into 5 times more of your lines. It's not just a sprinkle - it's a signature. While most people agonize over which smiley to drop at the end, you treat emoji like punctuation, weaving them into your sentences as a matter of habit.

This relentless emoji presence does something most can't pull off: it signals approachability and clarity, but never lapses into forced cheer. Now try briefing that to a ghostwriter. Tell them to make every sixth sentence carry a neutral emoji, double up on lowercase hashtags, and keep the emoji-per-sentence ratio six times higher than the norm. They'd have no idea where to start - because this isn't style, it's instinct. It's not even something you could reproduce on command.

And here's the kicker: you post less than once a week, yet your patterns are unmistakable. This is exactly what Drumbeat captures - the quirks you can't articulate but your readers sense instantly. Your company's message, in each team member's authentic voice, at scale.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

14 May 2018 - 05 Nov 2024

0.1 posts/week avg
36/339 active weeks
303 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs are concentrated at the end of the post 9% HIGH VARIES
Whether CTAs include hashtags 18% of posts HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 7% TYPICAL VARIES
Whether CTAs include emoji 11% of posts TYPICAL VARIES
Whether any call-to-action exists 64% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 42% HIGH STEADY
Average number of emoji appearing together in clusters 31% HIGH VARIES
Count of neutral/functional emoji 0.4 - 3.3 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 0.8 HIGH VARIES
Emoji count relative to sentence count 53% HIGH STEADY
Emoji density in CTA sections 0 - 116 HIGH VARIES
Emoji density in the hook section 6 - 47 HIGH STEADY
Emoji usage in the middle section of the post 0 - 56 HIGH VARIES
Emoji used to replace words entirely 7% HIGH VARIES
Largest group of adjacent emoji 31% HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.5 HIGH STEADY
Number of emoji in the opening hook 0.4 - 1.7 HIGH STEADY
Percentage of emoji that are neutral/functional 94% HIGH STEADY
Percentage of lines containing at least one emoji 40% HIGH STEADY
Proportion of emoji appearing in clusters 8% HIGH VARIES
Variety of different emoji used (unique/total ratio) 28% HIGH VARIES
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
How consistently emoji pair with specific words 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 '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
Proportion of emoji that appear multiple times 0% LOW STEADY
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Balance between positive and negative emoji 6% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 8% TYPICAL VARIES
How often the same emoji repeats across the post 3% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.7 TYPICAL VARIES
Percentage of emoji that are positive/celebratory 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 - 1.9 TYPICAL VARIES
Whether any emoji are used in the post 29% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 84% HIGH VARIES
Number of different contraction types 91% HIGH VARIES
Percentage of words that are contractions 1% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Variety of different contractions used 51% HIGH STEADY
Count of negative contractions used 9% LOW VARIES
Ratio of negative to positive contractions 1:11 LOW VARIES
Total number of contractions 93% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 17% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 0 - 65 HIGH VARIES
Usage of 'as' per 1000 words 0-25 per 1k words HIGH VARIES
Usage of 'at' per 1000 words 0 - 27 HIGH VARIES
Usage of 'by' per 1000 words 0-26 per 1k words HIGH VARIES
Usage of 'if' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'so' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words 0-3 per 1k words LOW VARIES
Overall grammatical word usage 134 - 265 TYPICAL STEADY
Usage of 'and' per 1000 words 3 - 42 TYPICAL STEADY
Usage of 'for' per 1000 words 0 - 28 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 39 TYPICAL VARIES
Usage of 'on' per 1000 words 0 - 24 TYPICAL VARIES
Usage of 'that' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 2 - 55 TYPICAL STEADY
Usage of 'to' per 1000 words 6 - 46 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-23 per 1k words TYPICAL VARIES
Variety of function words used 36% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 13 HIGH STEADY
Hashtag density per 100 words 0 - 10 HIGH VARIES
Proportion of all-lowercase hashtags 80% HIGH STEADY
Proportion of hashtags in ALL CAPS 8% HIGH VARIES
Proportion of hashtags in the opening 31% HIGH VARIES
Proportion of hashtags placed at the end 57% HIGH STEADY
Proportion of hashtags woven into the text 12% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 253 HIGH VARIES
Whether the opening line contains a hashtag 43% HIGH VARIES
Proportion of hashtags using CamelCase 12% TYPICAL VARIES
Total number of hashtags 0.2 - 4.5 TYPICAL STEADY
Whether any hashtags are used 67% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 0.5 LOW VARIES
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 2% TYPICAL VARIES
Character count of the hook 151 - 360 TYPICAL STEADY
Character position where the hook ends 151 - 360 TYPICAL STEADY
Hook length relative to total post 79% TYPICAL STEADY
Hook lines relative to total lines 67% TYPICAL STEADY
Number of emoji 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 79% TYPICAL STEADY
Whether the hook contains emoji 18% of posts TYPICAL VARIES
Whether there's a blank line after the hook 16% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of very short lines (<5 words) 19% HIGH VARIES
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Variation in block sizes 12% LOW VARIES
Average characters per line 41 - 260 TYPICAL STEADY
Average lines per text block 0.9 - 1.2 TYPICAL STEADY
Average spacing between blank lines 0.2 - 2.3 TYPICAL STEADY
Average words per line 6 - 43 TYPICAL STEADY
Blank lines per 100 total lines 9 - 47 TYPICAL STEADY
Lines containing exactly one sentence 54% TYPICAL STEADY
Number of visual text blocks 1.0 - 5.0 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 28% TYPICAL STEADY
Ratio of lines starting with quotes 1% TYPICAL STEADY
Spacing between content-rich lines 0.4 - 2.3 TYPICAL STEADY
Variation in line lengths 0 - 625 TYPICAL VARIES
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
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
Use of inline enumeration 1% TYPICAL 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 23 - 61 TYPICAL STEADY
How often three-word phrases repeat 74% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 7.6 TYPICAL VARIES
Length of longest repeated phrase 100% TYPICAL VARIES
Number of unique words used 26 - 73 TYPICAL STEADY
Percentage of words used only once 87% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 85% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.4 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.9 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.5 per post HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with adverbs (%) 8% HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Count of sentences starting with pronouns 0.0-1.1 per post TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 30 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has emoji clusters 4% HIGH VARIES
Whether the ending includes emoji 24% of posts HIGH VARIES
Whether the ending includes hashtags 67% of posts HIGH STEADY
Whether the closing has a signature phrase 9% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 143 - 391 TYPICAL STEADY
Closing length relative to total post 82% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.9 TYPICAL VARIES
Whether the ending has a call-to-action 24% of posts TYPICAL VARIES
Whether the ending is a question 11% 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 93% HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 78% LOW VARIES
Average change in length between paragraphs 73% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.7 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.7 TYPICAL STEADY
Consecutive short paragraphs 0.3 - 4.6 TYPICAL STEADY
How frequently new paragraphs start 25 - 84 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.4 - 3.4 TYPICAL STEADY
Total number of paragraphs 1.0 - 5.0 TYPICAL STEADY
Typical paragraph length (median) 0.7 - 2.6 TYPICAL STEADY
Variation in length changes between paragraphs 73% TYPICAL VARIES
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 2% TYPICAL STEADY
Percentage of words that are determiners 8% TYPICAL STEADY
Percentage of words that are nouns 16 - 35 TYPICAL STEADY
Percentage of words that are prepositions 9 - 16 TYPICAL STEADY
Percentage of words that are pronouns 6% TYPICAL STEADY
Percentage of words that are verbs 6 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 1.8 - 5.4 LOW STEADY
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 4 - 17 TYPICAL STEADY
How easy the text is to read (higher = easier) 29 - 71 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 24 TYPICAL STEADY
Total syllables in the post 43 - 155 TYPICAL STEADY
Total word count of the post 26 - 97 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-15 per 1k words LOW VARIES
Hyphen usage per 1000 words 0-12 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 0-2 per 1k words LOW VARIES
Percentage of sentences ending with a question 2% LOW VARIES
Percentage of sentences ending with exclamation 7% LOW VARIES
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Question marks per 1000 words 0-9 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
Colon usage per 1000 words 0-32 per 1k words TYPICAL VARIES
Comma usage per 1000 words 4-60 per 1k words TYPICAL STEADY
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 159 HIGH VARIES
Whether the post contains quotations 56% of posts HIGH STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines starting with quotation marks 1% TYPICAL STEADY
Lines using past tense 37% TYPICAL VARIES
Number of narrative/story signals 0.4 - 2.1 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.5 TYPICAL VARIES
Total characters in quoted content 0 - 169 TYPICAL VARIES
Use of story transitions 12% TYPICAL VARIES
Whether the post tells a story 44% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Word count of shortest sentence 0 - 27 HIGH VARIES
Parenthetical breaks per 1000 words 0-5 per 1k words LOW VARIES
Variation in clause count across sentences 0.0 - 2.5 LOW VARIES
Average number of clauses per sentence 1.2 - 3.2 TYPICAL STEADY
Average number of words per sentence 4 - 33 TYPICAL STEADY
Average words per sentence 4 - 33 TYPICAL STEADY
How much sentence length varies (normalized) 50% TYPICAL STEADY
How often paragraphs contain just one sentence 54% TYPICAL STEADY
Length of your longer sentences (80th percentile) 10 - 42 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 0 - 28 TYPICAL VARIES
Overall sentence complexity 0 - 148 TYPICAL VARIES
Percentage of sentences over 20 words 32% TYPICAL STEADY
Percentage of sentences under 8 words 22% TYPICAL VARIES
Typical sentence length (median) 4 - 33 TYPICAL STEADY
Variation in sentence lengths 2 - 14 TYPICAL STEADY
Word count of the longest sentence 11 - 43 TYPICAL STEADY

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