Kate Priestman's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 14 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
Percentage of emoji that are positive/celebratory
signature ↑ increasing
12x more
See example from 16 Sep 2025
Balance between positive and negative emoji
signature ↑ increasing
13x more
Emoji count relative to sentence count
signature ↑ increasing
8x more
Number of emoji in the opening hook
signature ↑ increasing
8x more
Count of positive/celebratory emoji
signature ↑ increasing
9x more
Average emoji per line of text
signature ↑ 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 your posts are an emoji powerhouse: 7 times more of your lines feature at least one emoji compared to the average LinkedIn writer, and you open with 8 times more emoji in your hooks. Not only that, but 12 times more of your emoji are positive or celebratory - and you strike the perfect balance, with a positivity/negativity ratio that's 13 times higher than the norm. If anyone thought LinkedIn was all business, you’ve been quietly rewriting the rulebook with every 🎉 and 🙂.

Why does this work? When you lead with emoji, you signal energy, approachability, and a sense of celebration that most people can’t fake. It’s not just decoration - it’s a signal to your readers: “This is different. This is human.” Now try briefing a ghostwriter: “Start every post with just the right mix of positive emoji, 8x the average, but don’t overdo it or make it fake.” They’d stare at you. You couldn’t even do it yourself on command. This isn’t a checklist - it’s pure instinct.

And yet, in 462 weeks, you’ve posted less than once a week. It’s not about volume. It’s about the unmistakable fingerprint you leave behind. This is exactly what Drumbeat captures - the patterns you can’t put into words but your audience feels. Your company’s message, in each team member’s real voice, at scale.

Style Evolution

How your writing has changed (Nov 2016 - Sep 2025)

Recent 11 posts since Dec 2023
vs
Earlier 5 posts before Dec 2023
Hashtag usage Stopped (was 20%, now rarely)
Stopped
Opening hashtags Stopped (was 20%, now rarely)
Stopped
Emoji usage Increasing (20% → 82%)
More

Style patterns based on 16 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

07 Nov 2016 - 11 Sep 2025

0 posts/week avg
15/462 active weeks
447 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Average position of CTAs in the post Upper half HIGH STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 18% HIGH VARIES
Whether CTAs are concentrated at the end of the post 14% HIGH VARIES
Whether CTAs include emoji 36% of posts HIGH VARIES
CTAs phrased as questions vs statements 0% LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Whether any call-to-action exists 64% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 30% HIGH VARIES
Average emoji per line of text 70% HIGH STEADY
Balance between positive and negative emoji 55% HIGH STEADY
Count of neutral/functional emoji 0.0 - 3.7 HIGH VARIES
Count of positive/celebratory emoji 0.5 - 1.7 HIGH STEADY
Emoji count per 1000 words 7 - 49 HIGH STEADY
Emoji count relative to sentence count 74% HIGH STEADY
Emoji density in CTA sections 19 - 57 HIGH STEADY
Emoji density in the hook section 23 - 52 HIGH STEADY
Emoji usage in the middle section of the post 0 - 47 HIGH VARIES
How consistently the same emoji is used for bullets 10% HIGH VARIES
How often the same emoji repeats across the post 13% HIGH VARIES
Number of different emoji types used 0.2 - 3.3 HIGH STEADY
Number of emoji in call-to-action lines 0.2 - 2.4 HIGH STEADY
Number of emoji in the opening hook 0.8 - 2.8 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 7% HIGH VARIES
Percentage of emoji that are neutral/functional 45% HIGH STEADY
Percentage of emoji that are positive/celebratory 55% HIGH STEADY
Percentage of lines containing at least one emoji 60% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.5 HIGH VARIES
Total number of emoji in the post 0.2 - 3.9 HIGH STEADY
Variety of different emoji used (unique/total ratio) 62% HIGH STEADY
Variety of different emoji used as bullets 10% HIGH VARIES
Whether any emoji are used in the post 71% of posts HIGH STEADY
Whether emoji are used as bullet point markers 10% HIGH VARIES
Whether the post starts with an emoji 10% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji used to replace words entirely 2% LOW VARIES
How consistently emoji pair with specific words 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of emoji clusters (groups of adjacent emoji) ~0.0 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 appearing in clusters 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Number of bullet point lines using emoji as markers 0.0 - 0.4 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Count of negative contractions used 0% LOW STEADY
Ratio of negative to positive contractions balanced LOW STEADY
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Count of positive contractions used 57% TYPICAL VARIES
Number of different contraction types 57% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Total number of contractions 57% TYPICAL VARIES
Variety of different contractions used 36% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0 - 28 HIGH VARIES
Usage of 'at' per 1000 words 0 - 29 HIGH VARIES
Usage of 'so' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0 - 26 HIGH VARIES
Usage of 'to' per 1000 words 20 - 71 HIGH STEADY
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-16 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-12 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-2 per 1k words LOW VARIES
Overall grammatical word usage 169 - 275 TYPICAL STEADY
Usage of 'a' per 1000 words 1 - 45 TYPICAL STEADY
Usage of 'and' per 1000 words 7 - 43 TYPICAL STEADY
Usage of 'but' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 24 TYPICAL VARIES
Usage of 'if' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 3 - 37 TYPICAL STEADY
Usage of 'the' per 1000 words 6 - 50 TYPICAL STEADY
Usage of 'with' per 1000 words 1 - 22 TYPICAL STEADY
Variety of function words used 46% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 22 HIGH STEADY
Proportion of all-lowercase hashtags 100% HIGH STEADY
Proportion of hashtags in the opening 100% HIGH STEADY
Whether the opening line contains a hashtag 100% HIGH STEADY
Hashtag density per 100 words 22% LOW VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags placed at the end 0% LOW STEADY
Proportion of hashtags using CamelCase 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 0.3 LOW VARIES
Whether any hashtags are used 7% of posts LOW VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.7 HIGH VARIES
Whether the hook contains emoji 57% of posts HIGH STEADY
Whether the hook starts with a conjunction 14% HIGH VARIES
Whether there's a blank line after the hook 36% HIGH VARIES
Whether there's a clear opening hook section 50% of posts HIGH VARIES
ALL CAPS words in the hook 2% LOW VARIES
Negation words in the hook 0.0 - 0.3 LOW VARIES
Whether the hook contains a question 7% of posts LOW VARIES
Character count of the hook 173 - 293 TYPICAL STEADY
Character position where the hook ends 173 - 293 TYPICAL STEADY
Hook length relative to total post 59% TYPICAL STEADY
Hook lines relative to total lines 58% TYPICAL STEADY
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 59% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.7 - 2.7 HIGH STEADY
Blank lines per 100 total lines 19 - 51 HIGH STEADY
Proportion of blank space 35% HIGH STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 1% LOW VARIES
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 25% LOW VARIES
Variation in line lengths 20 - 162 LOW STEADY
Average characters per line 68 - 176 TYPICAL STEADY
Average lines per text block 0.9 - 1.3 TYPICAL STEADY
Average words per line 12 - 29 TYPICAL STEADY
Lines containing exactly one sentence 53% TYPICAL STEADY
Number of visual text blocks 1.9 - 7.0 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
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Spacing between content-rich lines 0.9 - 2.4 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 29% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.3 HIGH VARIES
Variety of emoji used as bullets 2% HIGH VARIES
Whether emoji bullet lists are used 7% 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 0% LOW STEADY
Nesting depth of numbered lists 0% LOW STEADY
Number of dash/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
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Whether any list structure is used 7% 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 43% LOW VARIES
How often two-word phrases repeat 0.0 - 5.1 LOW VARIES
Count of words used only once 29 - 86 TYPICAL STEADY
Length of longest repeated phrase 0.1 - 2.8 TYPICAL STEADY
Number of unique words used 32 - 109 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 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-1.1 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.8 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 0.1-3.2 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.5 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.5 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 9% HIGH VARIES
Sentences starting with adverbs (%) 0 - 30 HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 8 - 49 HIGH STEADY
Sentences starting with subordinate clauses (%) 0 - 26 HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Count of sentences starting with -ing verbs ~0.0 per post LOW STEADY
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with -ing verbs (%) 0% LOW STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.1 - 2.6 HIGH STEADY
Whether the closing has emoji clusters 7% HIGH VARIES
Whether the ending has a call-to-action 71% of posts HIGH STEADY
Whether the ending includes emoji 71% of posts HIGH STEADY
Whether the closing has a signature phrase 7% of posts LOW VARIES
Whether the ending includes hashtags 7% of posts LOW VARIES
Whether the ending is a question 7% LOW VARIES
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 175 - 528 TYPICAL STEADY
Closing length relative to total post 75% TYPICAL STEADY
Whether there's a clear closing section 86% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 87% HIGH STEADY
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 37% LOW STEADY
Variation in length changes between paragraphs 40% LOW STEADY
Average change in length between paragraphs 59% TYPICAL STEADY
Average sentences per paragraph 0.9 - 2.5 TYPICAL STEADY
Average sentences per paragraph 0.9 - 2.5 TYPICAL STEADY
Consecutive short paragraphs 1.1 - 5.8 TYPICAL STEADY
How frequently new paragraphs start 30 - 73 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.4 - 3.0 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.9 - 7.0 TYPICAL STEADY
Typical paragraph length (median) 0.6 - 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 5% TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 14 - 29 TYPICAL STEADY
Percentage of words that are prepositions 7 - 14 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 10 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 4 - 23 TYPICAL STEADY
How easy the text is to read (higher = easier) 45 - 67 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 18 TYPICAL STEADY
Total sentence count 1.9 - 9.0 TYPICAL STEADY
Total syllables in the post 52 - 244 TYPICAL STEADY
Total word count of the post 34 - 156 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-18 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 0 - 57 HIGH VARIES
Percentage of sentences trailing off with ellipsis 5% HIGH VARIES
Colon usage per 1000 words 0-21 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-2 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 3% LOW VARIES
Question marks per 1000 words 0-6 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
Comma usage per 1000 words 13-75 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-6 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-35 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-39 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Use of story transitions 4% LOW VARIES
Average length of quoted passages 0 - 121 TYPICAL VARIES
Lines using past tense 43% TYPICAL STEADY
Number of narrative/story signals 0.4 - 2.2 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL VARIES
Total characters in quoted content 0 - 122 TYPICAL VARIES
Whether the post contains quotations 50% of posts TYPICAL VARIES
Whether the post tells a story 43% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences over 20 words 42% HIGH STEADY
Parenthetical breaks per 1000 words 0-3 per 1k words LOW VARIES
Average number of clauses per sentence 1.6 - 2.7 TYPICAL STEADY
Average number of words per sentence 12 - 25 TYPICAL STEADY
Average words per sentence 12 - 25 TYPICAL STEADY
How much sentence length varies (normalized) 59% TYPICAL STEADY
How often paragraphs contain just one sentence 52% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 37 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 15 TYPICAL STEADY
Overall sentence complexity 19 - 67 TYPICAL STEADY
Percentage of sentences under 8 words 22% TYPICAL STEADY
Typical sentence length (median) 10 - 26 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.7 TYPICAL VARIES
Variation in sentence lengths 4 - 17 TYPICAL STEADY
Word count of shortest sentence 0 - 14 TYPICAL STEADY
Word count of the longest sentence 19 - 47 TYPICAL STEADY

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