Hannah Stacey's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 15 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
9x more
Emoji count relative to sentence count
signature ↑ increasing
14x more
Number of emoji in the opening hook
signature ↑ increasing
8x more
Percentage of emoji that are neutral/functional
signature ↑ increasing
6x more
See example from 27 Nov 2025
Average emoji per line of text
signature ↑ increasing
7x more
Whether the hook contains emoji
6x more
Typical sentence length (median)
2x more

Does Less Of...

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

ALL CAPS words in the hook
consistent
4x less
ALL CAPS words in the closing
consistent
4x less
Percentage of complex words (3+ syllables)
consistent
1.4x less
Average word complexity (syllables per word)
consistent
1.1x less
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 masterclass: you use 9 times more emoji-laced lines than the average LinkedIn writer, and for every sentence, you drop in 14 times the emoji. Even your opening hooks are 8x more emoji-heavy than most. It's not just flair - 6x more of your emoji serve a neutral or functional purpose, not just for decoration.

This works because your readers instantly recognize your tone - approachable, modern, never forced. Now try briefing a ghostwriter: "Hey, make every line seven times more emoji-rich than the average, but keep them neutral, never cheesy." They'd think you were joking. You couldn't reverse-engineer this style with a guide; it's built into your fingertips, not your templates.

You post less than once a week, but your style is unmistakable every time you show up. That's what Drumbeat uncovers - the signature moves you can't teach or fake, but your audience feels every time they see your name.

Style Evolution

How your writing has changed (Jul 2021 - Nov 2025)

Recent 8 posts since Dec 2023
vs
Earlier 7 posts before Dec 2023
Emoji usage Increasing (29% → 88%)
More

Style patterns based on 15 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

28 Jul 2021 - 27 Nov 2025

0.1 posts/week avg
14/227 active weeks
213 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 are concentrated at the end of the post 13% HIGH VARIES
Whether CTAs include emoji 20% of posts HIGH VARIES
CTAs phrased as questions vs statements 0% LOW STEADY
Whether CTAs include hashtags 7% of posts LOW VARIES
Average position of CTAs in the post Upper half TYPICAL VARIES
Whether any call-to-action exists 47% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 76% HIGH STEADY
Average number of emoji appearing together in clusters 36% HIGH VARIES
Balance between positive and negative emoji 14% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.8 HIGH VARIES
Count of neutral/functional emoji 0.0 - 6.1 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.1 HIGH VARIES
Emoji count per 1000 words 0 - 59 HIGH VARIES
Emoji count relative to sentence count 1% HIGH STEADY
Emoji density in CTA sections 0 - 100 HIGH VARIES
Emoji density in the hook section 17 - 55 HIGH STEADY
Emoji usage in the middle section of the post 0 - 80 HIGH VARIES
Emoji used to replace words entirely 8% HIGH VARIES
How consistently the same emoji is used for bullets 9% HIGH VARIES
Largest group of adjacent emoji 36% HIGH VARIES
Number of different emoji types used 0.0 - 5.3 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 - 1.9 HIGH STEADY
Number of emoji in the opening hook 1.0 - 3.0 HIGH STEADY
Percentage of emoji that are negative/warning 2% HIGH VARIES
Percentage of emoji that are neutral/functional 83% HIGH STEADY
Percentage of emoji that are positive/celebratory 15% HIGH VARIES
Percentage of lines containing at least one emoji 72% HIGH STEADY
Proportion of emoji appearing in clusters 5% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.6 HIGH VARIES
Total number of emoji in the post 0.0 - 6.2 HIGH VARIES
Variety of different emoji used (unique/total ratio) 71% HIGH STEADY
Variety of different emoji used as bullets 9% HIGH VARIES
Whether any emoji are used in the post 73% of posts HIGH STEADY
Whether emoji are used as bullet point markers 9% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Whether the post starts with an emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
How consistently emoji pair with specific words 1% TYPICAL STEADY
How often the same emoji repeats across the post 3% TYPICAL VARIES
Number of bullet point lines using emoji as markers 0.0 - 0.4 TYPICAL VARIES
Percentage of emoji that are 'corpspeak' type 1% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 2% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH VARIES
Variety of different contractions used 53% HIGH STEADY
Count of negative contractions used 7% LOW VARIES
Ratio of negative to positive contractions 1:15 LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Count of positive contractions used 73% TYPICAL VARIES
Number of different contraction types 80% TYPICAL VARIES
Total number of contractions 80% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 12 - 66 HIGH STEADY
Usage of 'as' per 1000 words 0-22 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'of' per 1000 words 4 - 43 HIGH STEADY
Usage of 'so' per 1000 words 0-23 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0 - 29 HIGH VARIES
Usage of 'which' per 1000 words 0-8 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'with' per 1000 words 0-9 per 1k words LOW VARIES
Overall grammatical word usage 177 - 302 TYPICAL STEADY
Usage of 'and' per 1000 words 0 - 39 TYPICAL VARIES
Usage of 'at' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'if' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'on' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 11 - 56 TYPICAL STEADY
Usage of 'to' per 1000 words 19 - 66 TYPICAL STEADY
Variety of function words used 44% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8.0 HIGH STEADY
Proportion of all-lowercase hashtags 100% HIGH STEADY
Proportion of hashtags in the opening 50% HIGH STEADY
Proportion of hashtags placed at the end 50% HIGH STEADY
Whether the opening line contains a hashtag 100% HIGH STEADY
Hashtag density per 100 words 3% LOW VARIES
Proportion of hashtags in ALL CAPS 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 - 0.6 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 0.1 - 2.1 HIGH STEADY
Whether the hook contains a question 27% of posts HIGH VARIES
Whether the hook contains emoji 73% of posts HIGH STEADY
Whether there's a blank line after the hook 33% HIGH VARIES
ALL CAPS words in the hook 1% LOW STEADY
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 133 - 374 TYPICAL STEADY
Character position where the hook ends 133 - 374 TYPICAL STEADY
Hook length relative to total post 74% TYPICAL STEADY
Hook lines relative to total lines 63% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 74% TYPICAL STEADY
Whether there's a clear opening hook section 20% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Ratio of lines starting with numbers 5% HIGH VARIES
Ratio of lines starting with quotes 2% HIGH VARIES
Variation in block sizes 0.0 - 6.9 HIGH VARIES
Variation in line lengths 0 - 1360 HIGH VARIES
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Average characters per line 62 - 196 TYPICAL STEADY
Average lines per text block 0.5 - 2.5 TYPICAL STEADY
Average spacing between blank lines 0.0 - 3.6 TYPICAL VARIES
Average words per line 11 - 36 TYPICAL STEADY
Blank lines per 100 total lines 5 - 40 TYPICAL STEADY
Lines containing exactly one sentence 62% TYPICAL STEADY
Number of visual text blocks 0.9 - 4.3 TYPICAL STEADY
Percentage of very short lines (<5 words) 11% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 22% TYPICAL STEADY
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Spacing between content-rich lines 0.4 - 2.1 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 33% HIGH VARIES
Consistency of numbered list formatting 7% HIGH VARIES
Number of numbered list sections 0.0 - 0.3 HIGH VARIES
Whether dash/bullet lists are used 7% of posts HIGH VARIES
Whether numbered lists are used 7% of posts HIGH VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Number of emoji bullet 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 emoji bullet lists are used 0% of posts LOW STEADY
Nesting depth of numbered lists 20% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Whether any list structure is used 13% 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
Count of words used only once 10 - 95 TYPICAL STEADY
How often three-word phrases repeat 72% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 6.8 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.7 TYPICAL VARIES
Number of unique words used 4 - 126 TYPICAL STEADY
Percentage of words used only once 87% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 83% 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 0.0-1.0 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.8 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.8 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 0.0-0.7 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 6% HIGH VARIES
Sentences starting with And, But, Or, So (%) 6% HIGH VARIES
Sentences starting with adverbs (%) 0 - 30 HIGH VARIES
Sentences starting with subordinate clauses (%) 0 - 59 HIGH VARIES
Sentences starting with time words (%) 0 - 42 HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 30% LOW VARIES
Count of sentences starting with -ing verbs 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-2.5 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 4% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 32 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.0 HIGH VARIES
Whether the ending includes emoji 53% of posts HIGH STEADY
Whether the ending is a question 27% HIGH VARIES
ALL CAPS words in the closing 1% LOW STEADY
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending includes hashtags 7% of posts LOW VARIES
Character length of the closing 84 - 455 TYPICAL STEADY
Closing length relative to total post 78% TYPICAL STEADY
Whether the closing has a signature phrase 13% of posts TYPICAL VARIES
Whether the ending has a call-to-action 33% of posts TYPICAL VARIES
Whether there's a clear closing section 73% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Consecutive long paragraphs 7% LOW VARIES
How much paragraph length varies 71% LOW VARIES
Variation in length changes between paragraphs 45% LOW VARIES
Average change in length between paragraphs 96% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.2 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.2 TYPICAL STEADY
Closing paragraph length vs body average 80% TYPICAL STEADY
Consecutive short paragraphs 0.8 - 3.2 TYPICAL STEADY
How frequently new paragraphs start 23 - 66 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.2 - 3.0 TYPICAL STEADY
Opening paragraph length vs body average 75% TYPICAL STEADY
Total number of paragraphs 1.1 - 4.5 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 2.0 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 7% 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 9% TYPICAL STEADY
Percentage of words that are nouns 16 - 27 TYPICAL STEADY
Percentage of words that are prepositions 7 - 16 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 8 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 0.0 - 9.1 LOW VARIES
Average word complexity (syllables per word) 1.3 - 1.6 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 24 TYPICAL VARIES
How easy the text is to read (higher = easier) 37 - 70 TYPICAL STEADY
Percentage of complex words (3+ syllables) 6 - 17 TYPICAL STEADY
Total syllables in the post 0 - 310 TYPICAL VARIES
Total word count of the post 0 - 210 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-26 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-4 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-11 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 0 - 65 HIGH VARIES
Semicolon usage per 1000 words 0-6 per 1k words HIGH VARIES
Colon usage per 1000 words 0-22 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-2 per 1k words LOW VARIES
Em dash (—) usage 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
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Quotation mark usage per 1000 words 0-5 per 1k words LOW VARIES
Comma usage per 1000 words 9-40 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-59 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-29 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 8% TYPICAL VARIES
Question marks per 1000 words 0-32 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 191 HIGH VARIES
Lines starting with quotation marks 2% HIGH VARIES
Presence of dialogue attribution patterns 0% HIGH STEADY
Total characters in quoted content 0 - 297 HIGH VARIES
Whether the post contains quotations 80% of posts HIGH STEADY
Whether the post tells a story 67% of posts HIGH STEADY
Lines using past tense 41% TYPICAL STEADY
Number of narrative/story signals 0.7 - 2.9 TYPICAL STEADY
Number of quotation blocks 0.4 - 1.2 TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.6 - 5.0 HIGH STEADY
Average number of words per sentence 11 - 48 HIGH STEADY
Average words per sentence 11 - 48 HIGH STEADY
Length of your longer sentences (80th percentile) 14 - 71 HIGH STEADY
Length of your shorter sentences (20th percentile) 0 - 35 HIGH VARIES
Overall sentence complexity 0 - 252 HIGH VARIES
Percentage of sentences over 20 words 50% HIGH STEADY
Typical sentence length (median) 10 - 48 HIGH STEADY
Variation in clause count across sentences 0 - 11 HIGH VARIES
Variation in sentence lengths 0 - 33 HIGH VARIES
Word count of shortest sentence 0 - 35 HIGH VARIES
Word count of the longest sentence 17 - 72 HIGH STEADY
Percentage of sentences under 8 words 13% LOW VARIES
How much sentence length varies (normalized) 53% TYPICAL STEADY
How often paragraphs contain just one sentence 56% TYPICAL STEADY
Parenthetical breaks per 1000 words 0-11 per 1k words TYPICAL VARIES

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