Victoria Kesterton's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 34 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
Average emoji per line of text
signature ↑ increasing
8x more
Number of emoji in the opening hook
↑ increasing
7x more
Proportion of all-lowercase hashtags
consistent ↓ declining
4x more
Number of emoji in call-to-action lines
↑ increasing
7x more
Emoji count relative to sentence count
distinctive ↑ increasing
7x more
Percentage of emoji that are positive/celebratory
distinctive ↑ increasing
9x more
See example from 20 Nov 2025

Does Less Of...

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

Whether any call-to-action exists
3x less
Use of 'you/your' in the hook
consistent
2x less
Whether there's a clear closing section
2.0x less
Average lines per text block
consistent
1.2x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use emojis in your LinkedIn writing at rates nobody else comes close to. Your lines are 8x more emoji-packed than average, and your opening hooks alone have 7x the emoji most people manage. Even your calls-to-action, rare as they are, are absolutely loaded - 7x more emoji than the norm. It's not just a flourish - it's a fingerprint.

Why does this work? Your emoji-heavy lines signal energy and informality, making even sparse posts feel alive and personal. Now try briefing this to a ghostwriter. Tell them: "Add 8x more emoji than usual, but barely include a call-to-action, and if you do, jam it with even more emoji." They’d look at you like you’ve lost your mind - because this isn’t a style guide, it’s something you do on instinct. You couldn’t replicate it yourself if you tried.

And yet, you post less than once a week - just 0.1 times per week over six years. 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 (Aug 2019 - Nov 2025)

Recent 8 posts since Dec 2023
vs
Earlier 27 posts before Dec 2023
Hashtag usage Declining (78% → 38%)
Less
Opening hashtags Stopped (was 19%, now rarely)
Stopped
Emoji usage Increasing (41% → 75%)
More

Style patterns based on 35 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

01 Aug 2019 - 20 Nov 2025

0.1 posts/week avg
33/330 active weeks
297 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 Near top LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 0% LOW STEADY
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Whether any call-to-action exists 18% of posts LOW VARIES
CTAs phrased as questions vs statements 4% TYPICAL VARIES
Whether CTAs include emoji 9% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 92% HIGH STEADY
Average number of emoji appearing together in clusters 75% HIGH VARIES
Balance between positive and negative emoji 34% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.5 HIGH VARIES
Count of neutral/functional emoji 0.0 - 2.8 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 2.0 HIGH VARIES
Emoji count per 1000 words 0 - 101 HIGH VARIES
Emoji count relative to sentence count 69% HIGH STEADY
Emoji density in CTA sections 0 - 124 HIGH VARIES
Emoji density in the hook section 0 - 136 HIGH VARIES
Emoji used to replace words entirely 18% HIGH VARIES
How consistently emoji pair with specific words 8% HIGH VARIES
How often the same emoji repeats across the post 5% HIGH VARIES
Largest group of adjacent emoji 75% HIGH VARIES
Number of different emoji types used 0.0 - 3.1 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.8 HIGH VARIES
Number of emoji in call-to-action lines 0.3 - 2.2 HIGH STEADY
Number of emoji in the opening hook 0.6 - 2.8 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 5% HIGH VARIES
Percentage of emoji that are negative/warning 9% HIGH VARIES
Percentage of emoji that are neutral/functional 48% HIGH STEADY
Percentage of emoji that are positive/celebratory 43% HIGH VARIES
Percentage of lines containing at least one emoji 59% HIGH STEADY
Proportion of emoji appearing in clusters 24% HIGH VARIES
Proportion of emoji that appear multiple times 10% HIGH VARIES
Total number of emoji in the post 0.0 - 3.2 HIGH VARIES
Variety of different emoji used (unique/total ratio) 54% HIGH STEADY
Whether any emoji are used in the post 59% of posts HIGH STEADY
Average distance between repeated emoji 0% LOW STEADY
Emoji usage in the middle section of the post 2% LOW VARIES
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 lines that contain only emoji 0% LOW STEADY
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Whether the post starts with an emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Total count of repeated emoji across the post 0.0 - 0.6 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
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 41% HIGH VARIES
Count of negative contractions used 9% LOW VARIES
Count of positive contractions used 68% TYPICAL VARIES
Number of different contraction types 71% TYPICAL VARIES
Ratio of negative to positive contractions 29:1 TYPICAL VARIES
Total number of contractions 76% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 14% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 42 HIGH VARIES
Usage of 'but' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'if' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-22 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 123 - 273 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 44 TYPICAL STEADY
Usage of 'and' per 1000 words 3 - 66 TYPICAL STEADY
Usage of 'as' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 40 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 39 TYPICAL VARIES
Usage of 'so' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 0 - 70 TYPICAL VARIES
Usage of 'to' per 1000 words 0 - 51 TYPICAL VARIES
Usage of 'with' per 1000 words 0-25 per 1k words TYPICAL VARIES
Variety of function words used 31% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 14 HIGH STEADY
Hashtag density per 100 words 0 - 17 HIGH VARIES
Proportion of all-lowercase hashtags 86% HIGH STEADY
Proportion of hashtags placed at the end 64% HIGH STEADY
Proportion of hashtags woven into the text 15% HIGH VARIES
Whether any hashtags are used 71% of posts HIGH STEADY
Proportion of hashtags in ALL CAPS 1% LOW STEADY
Proportion of hashtags in the opening 21% TYPICAL VARIES
Proportion of hashtags using CamelCase 13% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 201 TYPICAL VARIES
Total number of hashtags 0.3 - 3.5 TYPICAL STEADY
Whether the opening line contains a hashtag 21% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.9 HIGH VARIES
Whether the hook contains emoji 53% of posts HIGH STEADY
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook contains a question 6% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 12% LOW VARIES
Whether there's a clear opening hook section 12% of posts LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 76 - 401 TYPICAL STEADY
Character position where the hook ends 76 - 401 TYPICAL STEADY
Hook length relative to total post 86% TYPICAL STEADY
Hook lines relative to total lines 82% TYPICAL STEADY
Negation words in the hook 0.0 - 1.0 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 86% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of single-word lines 4% HIGH VARIES
Percentage of very short lines (<5 words) 21% HIGH VARIES
Variation in line lengths 0 - 1032 HIGH VARIES
Number of visual text blocks 0.8 - 4.2 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 1% LOW VARIES
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 18% LOW VARIES
Average characters per line 46 - 210 TYPICAL STEADY
Average lines per text block 0.8 - 1.3 TYPICAL STEADY
Average spacing between blank lines 77% TYPICAL VARIES
Average words per line 6 - 36 TYPICAL STEADY
Blank lines per 100 total lines 12 - 44 TYPICAL STEADY
Lines containing exactly one sentence 50% TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 28% TYPICAL STEADY
Spacing between content-rich lines 0.7 - 2.4 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Use of inline enumeration 4% HIGH VARIES
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 - 0.2 LOW VARIES
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 3% of posts LOW VARIES
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 21% TYPICAL VARIES
Whether dash/bullet lists are used 3% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 62% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.3 HIGH VARIES
How often three-word phrases repeat 25% LOW VARIES
How often two-word phrases repeat 0.0 - 4.3 LOW VARIES
Length of longest repeated phrase 88% LOW VARIES
Count of words used only once 3 - 77 TYPICAL STEADY
Number of unique words used 0 - 96 TYPICAL VARIES
Percentage of words used only once 89% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 86% 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 0.0-0.9 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 0.0-2.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.8 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.8 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 74% HIGH VARIES
Sentences starting with -ing verbs (%) 9% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 4% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 51 HIGH VARIES
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Sentences starting with time words (%) 7% HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.1 HIGH VARIES
Whether the closing has emoji clusters 18% HIGH VARIES
Whether the ending includes emoji 56% of posts HIGH STEADY
Whether the ending includes hashtags 71% of posts HIGH STEADY
Whether the ending has a call-to-action 21% of posts LOW VARIES
Whether the ending is a question 9% LOW VARIES
Whether there's a clear closing section 35% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 53 - 476 TYPICAL STEADY
Closing length relative to total post 90% TYPICAL STEADY
Whether the closing has a signature phrase 15% of posts TYPICAL VARIES
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.1 - 2.0 HIGH STEADY
Opening paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
Variation in length changes between paragraphs 35% LOW VARIES
Average sentences per paragraph 1.0 - 2.6 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.6 TYPICAL STEADY
Closing paragraph length vs body average 76% TYPICAL STEADY
Consecutive short paragraphs 0.7 - 3.2 TYPICAL STEADY
How frequently new paragraphs start 0 - 164 TYPICAL VARIES
How much paragraph length varies 0.0 - 2.7 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.2 - 3.6 TYPICAL STEADY
Total number of paragraphs 0.0 - 6.1 TYPICAL VARIES
Typical paragraph length (median) 0.9 - 2.5 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are adverbs 8% HIGH VARIES
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of auxiliary/helper verbs 4% TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 13 - 33 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 5 - 18 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 21 TYPICAL VARIES
How easy the text is to read (higher = easier) 23 - 77 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 28 TYPICAL STEADY
Total sentence count 0.7 - 7.9 TYPICAL STEADY
Total syllables in the post 0 - 222 TYPICAL VARIES
Total word count of the post 0 - 145 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Exclamation marks per 1000 words 0-88 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-1 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 6 - 59 HIGH STEADY
Colon usage per 1000 words 0-3 per 1k words LOW VARIES
Comma usage per 1000 words 0-51 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words 0-4 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 ending with a question 2% LOW VARIES
Question marks per 1000 words 0-6 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words 0-4 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-35 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-14 per 1k words TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Semicolon usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 166 HIGH VARIES
Use of story transitions 18% HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 33% TYPICAL VARIES
Number of narrative/story signals 0.2 - 2.5 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.0 TYPICAL STEADY
Total characters in quoted content 0 - 166 TYPICAL VARIES
Whether the post contains quotations 53% of posts TYPICAL STEADY
Whether the post tells a story 44% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of clauses per sentence 1.2 - 2.4 TYPICAL STEADY
Average number of words per sentence 7 - 20 TYPICAL STEADY
Average words per sentence 7 - 20 TYPICAL STEADY
How much sentence length varies (normalized) 61% TYPICAL STEADY
How often paragraphs contain just one sentence 50% TYPICAL STEADY
Length of your longer sentences (80th percentile) 11 - 32 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 1 - 13 TYPICAL STEADY
Overall sentence complexity 8 - 46 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-14 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 24% TYPICAL VARIES
Percentage of sentences under 8 words 36% TYPICAL STEADY
Typical sentence length (median) 6 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 2.5 TYPICAL VARIES
Variation in sentence lengths 2 - 13 TYPICAL STEADY
Word count of shortest sentence 0 - 12 TYPICAL VARIES
Word count of the longest sentence 10 - 37 TYPICAL STEADY

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