Dylan Chambers's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 35 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 ↑ increasing
5x more
See example from 28 Oct 2025
Average character length of hashtags
consistent
2x more
Proportion of hashtags placed at the end
3x more
Percentage of lines containing at least one emoji
consistent ↑ increasing
4x more
Emoji count relative to sentence count
↑ increasing
5x more
Number of emoji in the opening hook
↑ increasing
4x more
Average emoji per line of text
consistent ↑ increasing
4x more

Does Less Of...

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

Whether any list structure is used
consistent
rarely
CTAs phrased as questions vs statements
consistent
rarely
Ratio of lines starting with punctuation
consistent
rarely
Proportion of hashtags woven into the text
consistent
rarely
Whether CTAs are concentrated at the end of the post
consistent
rarely
Whether dash/bullet lists are used
consistent
rarely
Usage of 'because' per 1000 words
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 functional or neutral emoji five times more than the average LinkedIn poster - and you do it in 4x as many lines. That means your posts are quietly pulsing with visual signals most people never even think to use. You're not just adding emoji for flair; they're practically your punctuation, stitched into the rhythm of your writing so deeply that your emoji-to-sentence ratio is 5x the norm.

Here's the thing: this isn't just decoration - it changes how people read you. Those emoji set a tone that's direct, approachable, and unmistakably yours. Now try asking a ghostwriter to drop in five times as many neutral emoji, double-length hashtags, and then stack 3x as many hashtags at the end. It would sound forced and weird. You can't brief this. It's not a playbook - it's muscle memory, baked into your instincts.

And yet, you post less than once a week - just 0.1 times per week over 331 weeks. That's why Drumbeat exists: to catch the patterns you don't see but your audience feels. Your company's message, in every team member's real voice, at scale.

Style Evolution

How your writing has changed (Jun 2019 - Oct 2025)

Recent 9 posts since Dec 2023
vs
Earlier 28 posts before Dec 2023
Opening hashtags Increasing (11% → 22%)
More
Emoji usage Increasing (11% → 44%)
More

Style patterns based on 37 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

17 Jun 2019 - 13 Oct 2025

0.1 posts/week avg
35/331 active weeks
296 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.) 17% HIGH VARIES
Whether CTAs include emoji 14% of posts HIGH VARIES
CTAs phrased as questions vs statements 0% LOW STEADY
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 49% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 15% HIGH VARIES
Average emoji per line of text 39% HIGH STEADY
Average number of emoji appearing together in clusters 44% HIGH VARIES
Balance between positive and negative emoji 19% HIGH VARIES
Count of neutral/functional emoji 0.0 - 3.8 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.3 HIGH VARIES
Emoji count relative to sentence count 45% HIGH STEADY
Emoji density in the hook section 2 - 29 HIGH STEADY
Emoji usage in the middle section of the post 0 - 66 HIGH VARIES
Emoji used to replace words entirely 11% HIGH VARIES
How consistently the same emoji is used for bullets 11% HIGH VARIES
How often the same emoji repeats across the post 17% HIGH VARIES
Largest group of adjacent emoji 44% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 1.3 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.7 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.1 HIGH STEADY
Number of emoji in the opening hook 0.1 - 1.9 HIGH STEADY
Percentage of emoji that are neutral/functional 81% HIGH STEADY
Percentage of emoji that are positive/celebratory 19% HIGH VARIES
Percentage of lines containing at least one emoji 32% HIGH STEADY
Proportion of emoji appearing in clusters 11% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.8 HIGH VARIES
Variety of different emoji used as bullets 4% HIGH VARIES
Whether emoji are used as bullet point markers 11% HIGH VARIES
Whether the post starts with an emoji 11% HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently emoji pair with specific words 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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 6% TYPICAL VARIES
Emoji density in CTA sections 0 - 30 TYPICAL VARIES
Number of different emoji types used 0.0 - 1.3 TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.9 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 21% TYPICAL VARIES
Whether any emoji are used in the post 26% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Ratio of negative to positive contractions 57:1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 10% LOW VARIES
Count of negative contractions used 14% TYPICAL VARIES
Count of positive contractions used 40% TYPICAL VARIES
Number of different contraction types 49% TYPICAL VARIES
Percentage of words that are contractions 62% TYPICAL VARIES
Total number of contractions 54% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 52% 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 - 51 HIGH VARIES
Usage of 'so' per 1000 words 0-22 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-6 per 1k words HIGH VARIES
Usage of 'with' per 1000 words 0 - 32 HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'of' per 1000 words 0-21 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-6 per 1k words LOW VARIES
Overall grammatical word usage 141 - 275 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 36 TYPICAL STEADY
Usage of 'and' per 1000 words 5 - 46 TYPICAL STEADY
Usage of 'as' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-5 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'if' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 28 TYPICAL VARIES
Usage of 'on' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 7 - 59 TYPICAL STEADY
Usage of 'to' per 1000 words 8 - 52 TYPICAL STEADY
Variety of function words used 40% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 61% HIGH STEADY
Proportion of hashtags placed at the end 73% HIGH STEADY
Proportion of hashtags using CamelCase 37% HIGH VARIES
Whether the opening line contains a hashtag 31% HIGH VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Hashtag density per 100 words 0.0 - 6.9 TYPICAL VARIES
Proportion of hashtags in the opening 27% TYPICAL VARIES
Total number of hashtags 0.0 - 4.5 TYPICAL VARIES
Whether any hashtags are used 46% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook starts with a conjunction 6% HIGH VARIES
Whether there's a blank line after the hook 34% HIGH VARIES
Negation words in the hook 0.0 - 0.6 LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 136 - 363 TYPICAL STEADY
Character position where the hook ends 136 - 363 TYPICAL STEADY
Hook length relative to total post 73% TYPICAL STEADY
Hook lines relative to total lines 67% TYPICAL STEADY
Number of emoji in the hook 0.0 - 0.7 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 73% TYPICAL STEADY
Whether the hook contains a question 11% of posts TYPICAL VARIES
Whether the hook contains emoji 14% of posts TYPICAL VARIES
Whether there's a clear opening hook section 23% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
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 15% LOW VARIES
Average characters per line 53 - 207 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 9 - 34 TYPICAL STEADY
Blank lines per 100 total lines 10 - 48 TYPICAL STEADY
Lines containing exactly one sentence 57% TYPICAL STEADY
Number of visual text blocks 1.3 - 5.5 TYPICAL STEADY
Percentage of single-word lines 1% TYPICAL VARIES
Percentage of very short lines (<5 words) 11% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 29% TYPICAL STEADY
Ratio of lines starting with quotes 1% TYPICAL STEADY
Spacing between content-rich lines 0.5 - 2.3 TYPICAL STEADY
Variation in line lengths 0 - 373 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
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 19 - 69 TYPICAL STEADY
How often three-word phrases repeat 90% TYPICAL VARIES
How often two-word phrases repeat 0.1 - 9.3 TYPICAL STEADY
Length of longest repeated phrase 0.3 - 3.2 TYPICAL STEADY
Number of unique words used 22 - 87 TYPICAL STEADY
Percentage of words used only once 84% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 81% 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 0.0-0.7 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 0.0-2.5 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.0 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.6 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 - 46 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 0.0-0.4 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 64% TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 26% of posts HIGH VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending is a question 6% LOW VARIES
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 109 - 423 TYPICAL STEADY
Closing length relative to total post 76% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.7 TYPICAL VARIES
Whether the ending has a call-to-action 37% of posts TYPICAL VARIES
Whether the ending includes emoji 20% of posts TYPICAL VARIES
Whether the ending includes hashtags 46% of posts TYPICAL VARIES
Whether there's a clear closing section 69% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
How much paragraph length varies 68% LOW VARIES
Average change in length between paragraphs 72% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.3 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.3 TYPICAL STEADY
Consecutive short paragraphs 0.7 - 5.0 TYPICAL STEADY
How frequently new paragraphs start 13 - 108 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.1 - 3.4 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.3 - 5.4 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 2.2 TYPICAL STEADY
Variation in length changes between paragraphs 75% 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 5% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 10 - 24 TYPICAL STEADY
Percentage of words that are prepositions 6 - 16 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 6 - 21 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.3 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 17 TYPICAL STEADY
How easy the text is to read (higher = easier) 42 - 81 TYPICAL STEADY
Percentage of complex words (3+ syllables) 6 - 22 TYPICAL STEADY
Total sentence count 1.7 - 7.6 TYPICAL STEADY
Total syllables in the post 36 - 187 TYPICAL STEADY
Total word count of the post 22 - 125 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-12 per 1k words HIGH VARIES
En dash (–) usage per 1000 words 0-7 per 1k words HIGH VARIES
Exclamation marks per 1000 words 0-107 per 1k words HIGH VARIES
Multiple exclamation marks per 1000 words 0-8 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 4 - 73 HIGH STEADY
Percentage of sentences trailing off with ellipsis 4% HIGH VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
Mixed punctuation clusters 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 3% LOW VARIES
Question marks per 1000 words 0-6 per 1k words LOW VARIES
Semicolon usage per 1000 words 0-1 per 1k words LOW VARIES
Colon usage per 1000 words 0-59 per 1k words TYPICAL VARIES
Comma usage per 1000 words 6-64 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-33 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-13 per 1k words TYPICAL VARIES
Quotation mark usage per 1000 words 0-15 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Presence of dialogue attribution patterns 0% LOW STEADY
Average length of quoted passages 0 - 109 TYPICAL VARIES
Lines starting with quotation marks 1% TYPICAL STEADY
Lines using past tense 34% TYPICAL STEADY
Number of narrative/story signals 0.3 - 2.1 TYPICAL STEADY
Number of quotation blocks 0.0 - 0.9 TYPICAL VARIES
Total characters in quoted content 0 - 116 TYPICAL VARIES
Use of story transitions 10% TYPICAL VARIES
Whether the post contains quotations 37% of posts TYPICAL VARIES
Whether the post tells a story 31% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.5 - 3.0 TYPICAL STEADY
Average number of words per sentence 9 - 23 TYPICAL STEADY
Average words per sentence 9 - 23 TYPICAL STEADY
How much sentence length varies (normalized) 53% TYPICAL STEADY
How often paragraphs contain just one sentence 55% TYPICAL STEADY
Length of your longer sentences (80th percentile) 11 - 36 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 14 TYPICAL STEADY
Overall sentence complexity 11 - 69 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-13 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 28% TYPICAL STEADY
Percentage of sentences under 8 words 27% TYPICAL VARIES
Typical sentence length (median) 8 - 21 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.5 TYPICAL VARIES
Variation in sentence lengths 3 - 15 TYPICAL STEADY
Word count of shortest sentence 2 - 12 TYPICAL STEADY
Word count of the longest sentence 14 - 41 TYPICAL STEADY

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