Katherine Pickles's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 48 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 ↑ increasing
7x more
Emoji count relative to sentence count
signature ↑ increasing
9x more
Emoji usage in the middle section of the post
signature ↑ increasing
22x more
Number of emoji in the opening hook
signature ↑ increasing
8x more
Proportion of hashtags using CamelCase
signature
5x more
Average character length of hashtags
consistent
3x more
Average emoji per line of text
consistent ↑ increasing
6x more

Does Less Of...

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

Consecutive long paragraphs
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you’re dropping emojis into the middle of your LinkedIn posts 22 times more often than the average person. Not at the end, not just in the hook - right smack in the core of your content. It’s not just a sprinkle, either: your emoji-to-sentence ratio is 9x the norm, and you open with 8x more emoji than most people even use in an entire post.

This works because it signals playfulness and guts. People scroll past walls of text, but your posts hit them with a visual jolt, almost forcing them to pay attention. Now try briefing this to a ghostwriter. Tell them to slot in emoji, but not just anywhere - they have to nail the exact midsection placement, every time. They’d think you’d lost it. This isn’t a checklist, it’s your fingerprint. You couldn’t copy it even if you wanted to.

You post less than once a week, but when you do, your style is instantly recognizable, even without your name. 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 2019 - Dec 2025)

Recent 13 posts since Dec 2023
vs
Earlier 35 posts before Dec 2023
Opening hashtags Declining (31% → 15%)
Less
Emoji usage Increasing (40% → 77%)
More

Style patterns based on 48 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

05 Sep 2019 - 10 Dec 2025

0.1 posts/week avg
46/328 active weeks
282 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.) 16% HIGH VARIES
Whether CTAs include emoji 17% of posts HIGH VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Average position of CTAs in the post Upper half TYPICAL VARIES
CTAs phrased as questions vs statements 6% TYPICAL VARIES
Whether CTAs include hashtags 15% of posts TYPICAL VARIES
Whether any call-to-action exists 67% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 16% HIGH VARIES
Average emoji per line of text 66% HIGH STEADY
Average number of emoji appearing together in clusters 16% HIGH VARIES
Balance between positive and negative emoji 36% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.2 HIGH VARIES
Count of neutral/functional emoji 0.4 - 4.7 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.7 HIGH STEADY
Emoji count per 1000 words 0 - 58 HIGH VARIES
Emoji count relative to sentence count 87% HIGH STEADY
Emoji density in CTA sections 0 - 65 HIGH VARIES
Emoji density in the hook section 11 - 79 HIGH STEADY
Emoji usage in the middle section of the post 0 - 203 HIGH VARIES
Emoji used to replace words entirely 8% HIGH VARIES
How consistently the same emoji is used for bullets 22% HIGH VARIES
How often the same emoji repeats across the post 20% HIGH VARIES
Largest group of adjacent emoji 16% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.4 HIGH VARIES
Number of different emoji types used 0.0 - 3.0 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.6 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.6 HIGH STEADY
Number of emoji in the opening hook 0.6 - 3.1 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 2% HIGH VARIES
Percentage of emoji that are negative/warning 1% HIGH VARIES
Percentage of emoji that are neutral/functional 62% HIGH STEADY
Percentage of emoji that are positive/celebratory 37% HIGH VARIES
Percentage of lines containing at least one emoji 54% HIGH STEADY
Proportion of emoji appearing in clusters 5% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.1 HIGH VARIES
Total number of emoji in the post 0.0 - 4.0 HIGH VARIES
Variety of different emoji used (unique/total ratio) 42% HIGH VARIES
Variety of different emoji used as bullets 9% HIGH VARIES
Whether any emoji are used in the post 52% of posts HIGH STEADY
Whether emoji are used as bullet point markers 24% HIGH VARIES
Whether the post starts with an emoji 36% HIGH VARIES
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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Ratio of negative to positive contractions 104:1 HIGH VARIES
Variety of different contractions used 41% HIGH VARIES
Count of negative contractions used 12% TYPICAL VARIES
Count of positive contractions used 58% TYPICAL VARIES
Number of different contraction types 65% TYPICAL VARIES
Percentage of words that are contractions 88% TYPICAL VARIES
Total number of contractions 71% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 16% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 72% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-18 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-10 per 1k words LOW VARIES
Usage of 'of' per 1000 words 0-23 per 1k words LOW VARIES
Overall grammatical word usage 131 - 241 TYPICAL STEADY
Usage of 'a' per 1000 words 1 - 35 TYPICAL STEADY
Usage of 'and' per 1000 words 6 - 40 TYPICAL STEADY
Usage of 'at' per 1000 words 0-21 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 35 TYPICAL VARIES
Usage of 'on' per 1000 words 0 - 26 TYPICAL VARIES
Usage of 'so' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 4 - 50 TYPICAL STEADY
Usage of 'to' per 1000 words 14 - 65 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 26 TYPICAL VARIES
Variety of function words used 34% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 10 - 16 HIGH STEADY
Proportion of hashtags in the opening 43% HIGH VARIES
Proportion of hashtags placed at the end 52% HIGH STEADY
Proportion of hashtags using CamelCase 79% HIGH STEADY
Whether the opening line contains a hashtag 50% HIGH VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Ratio of inline hashtags to end hashtags 4% LOW VARIES
Hashtag density per 100 words 0.0 - 8.9 TYPICAL VARIES
Proportion of all-lowercase hashtags 18% TYPICAL VARIES
Proportion of hashtags woven into the text 5% TYPICAL VARIES
Total number of hashtags 0.0 - 5.8 TYPICAL VARIES
Whether any hashtags are used 54% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 2.1 HIGH VARIES
Whether the hook contains emoji 44% of posts HIGH VARIES
Negation words in the hook 0.0 - 0.3 LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 165 - 341 TYPICAL STEADY
Character position where the hook ends 165 - 341 TYPICAL STEADY
Hook length relative to total post 78% TYPICAL STEADY
Hook lines relative to total lines 69% TYPICAL STEADY
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 78% TYPICAL STEADY
Whether the hook contains a question 23% of posts TYPICAL VARIES
Whether there's a blank line after the hook 27% 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 punctuation 4% 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 quotes 0% LOW STEADY
Average characters per line 50 - 201 TYPICAL STEADY
Average lines per text block 0.6 - 2.4 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.5 TYPICAL VARIES
Average words per line 8 - 33 TYPICAL STEADY
Blank lines per 100 total lines 3 - 39 TYPICAL STEADY
Lines containing exactly one sentence 58% TYPICAL STEADY
Number of visual text blocks 0.8 - 4.5 TYPICAL STEADY
Percentage of very short lines (<5 words) 12% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 21% TYPICAL STEADY
Spacing between content-rich lines 0.6 - 2.0 TYPICAL STEADY
Variation in block sizes 34% TYPICAL VARIES
Variation in line lengths 0 - 417 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 33% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.4 HIGH VARIES
Variety of emoji used as bullets 3% HIGH VARIES
Whether emoji bullet lists are used 8% of posts HIGH VARIES
Average items per dash/bullet 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 4% LOW VARIES
Number of dash/bullet list sections ~0.0 LOW STEADY
Number of numbered list sections 0.0 - 0.2 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 2% of posts LOW VARIES
Whether any list structure is used 10% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 24% HIGH VARIES
How often three-word phrases repeat 21% LOW VARIES
How often two-word phrases repeat 0.0 - 5.7 LOW VARIES
Length of longest repeated phrase 85% LOW VARIES
Count of idiomatic expressions 0.0 - 0.2 TYPICAL VARIES
Count of words used only once 23 - 67 TYPICAL STEADY
Number of unique words used 24 - 79 TYPICAL STEADY
Percentage of words used only once 89% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 87% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.8 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 0.0-0.5 per post HIGH VARIES
Sentences starting with -ing verbs (%) 6% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% HIGH VARIES
Sentences starting with adverbs (%) 8% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 47 HIGH VARIES
Sentences starting with subordinate clauses (%) 3% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with time words 0.0-0.2 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with time words (%) 35% LOW VARIES
Count of sentences starting with conjunctions 0.0-0.3 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.5 per post TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 1% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.5 HIGH VARIES
Whether the ending includes emoji 42% of posts HIGH VARIES
Whether the closing has a signature phrase 6% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 136 - 367 TYPICAL STEADY
Closing length relative to total post 77% TYPICAL STEADY
Whether the closing has emoji clusters 2% TYPICAL VARIES
Whether the ending has a call-to-action 42% of posts TYPICAL VARIES
Whether the ending includes hashtags 54% of posts TYPICAL STEADY
Whether the ending is a question 15% TYPICAL VARIES
Whether there's a clear closing section 81% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 65% LOW STEADY
Variation in length changes between paragraphs 29% LOW VARIES
Average change in length between paragraphs 86% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.4 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.4 TYPICAL STEADY
Closing paragraph length vs body average 80% TYPICAL STEADY
Consecutive short paragraphs 0.7 - 4.0 TYPICAL STEADY
How frequently new paragraphs start 29 - 79 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.4 - 3.1 TYPICAL STEADY
Total number of paragraphs 1.3 - 4.7 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.4 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 7% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL VARIES
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 13 - 28 TYPICAL STEADY
Percentage of words that are prepositions 6 - 14 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 9 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 2.0 - 5.2 LOW STEADY
Average word complexity (syllables per word) 1.4 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 2 - 23 TYPICAL STEADY
How easy the text is to read (higher = easier) 24 - 67 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 28 TYPICAL STEADY
Total syllables in the post 35 - 179 TYPICAL STEADY
Total word count of the post 23 - 102 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Multiple exclamation marks per 1000 words 0-21 per 1k words HIGH VARIES
Percentage of sentences ending with a question 9% HIGH VARIES
Percentage of sentences ending with exclamation 4 - 50 HIGH STEADY
Comma usage per 1000 words 0-41 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words 0-4 per 1k words LOW VARIES
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 trailing off with ellipsis 0% LOW STEADY
Quotation mark usage 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 4-41 per 1k words TYPICAL STEADY
En dash (–) usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-64 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-25 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-14 per 1k words TYPICAL VARIES
Question marks per 1000 words 0-19 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Use of story transitions 15% HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 106 LOW VARIES
Average length of quoted passages 0 - 69 TYPICAL VARIES
Lines using past tense 38% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.3 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.3 TYPICAL VARIES
Whether the post contains quotations 50% of posts TYPICAL VARIES
Whether the post tells a story 46% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences under 8 words 20% LOW VARIES
Average number of clauses per sentence 1.3 - 3.6 TYPICAL STEADY
Average number of words per sentence 10 - 25 TYPICAL STEADY
Average words per sentence 10 - 25 TYPICAL STEADY
How much sentence length varies (normalized) 60% TYPICAL STEADY
How often paragraphs contain just one sentence 53% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 37 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 1 - 18 TYPICAL STEADY
Overall sentence complexity 0 - 113 TYPICAL VARIES
Parenthetical breaks per 1000 words 0-15 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 34% TYPICAL STEADY
Typical sentence length (median) 8 - 25 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.4 TYPICAL VARIES
Variation in sentence lengths 4 - 16 TYPICAL STEADY
Word count of shortest sentence 0 - 17 TYPICAL STEADY
Word count of the longest sentence 15 - 44 TYPICAL STEADY

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