Kim Costello's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 42 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 โ†“ faded
7x more
See example from 04 Dec 2025
Percentage of lines containing at least one emoji
signature โ†“ faded
6x more
Number of emoji in the opening hook
consistent โ†“ faded
4x more
Proportion of hashtags using CamelCase
4x more
Number of emoji in call-to-action lines
consistent โ†“ faded
5x more
Average emoji per line of text
consistent โ†“ faded
5x more
Character count of the hook
consistent
1.6x more

Does Less Of...

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

Use of 'you/your' in the hook
consistent
3x less
Ratio of meaningful words to grammatical words
consistent
1.3x less
Unique words divided by total words
consistent
1.1x less
Percentage of words used only once
consistent
1.0x less
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 7 times more than the average LinkedIn author - and you pack 6 times more emoji into your lines overall. Even in your opening hooks, youโ€™re 4 times more likely to drop an emoji than your peers. Itโ€™s not just flair - itโ€™s a signature: your posts are punctuated with visual signals that most people barely touch.

It works because every emoji turns a bland scroll into a visual handshake - a stop sign or a breadcrumb, making your posts instantly recognizable and impossible to skim past. Now try briefing this to a ghostwriter: โ€œI need 7x more neutral emoji, but not too expressive, and always in the first line.โ€ Theyโ€™d stare at you blankly. This isnโ€™t a style guide - itโ€™s muscle memory. Even if you tried, you couldnโ€™t force it.

You post less than once a week (0.2 times, to be exact), but when you do, your style is unmistakable. This is exactly what Drumbeat captures - the patterns you canโ€™t articulate but your audience feels. Your companyโ€™s message, in each team memberโ€™s authentic voice, at scale.

Style Evolution

How your writing has changed (Jan 2022 - Nov 2025)

Recent 11 posts since Dec 2023
vs
Earlier 31 posts before Dec 2023
Opening hashtags Declining (29% โ†’ 9%)
Less
Emoji usage Stopped (was 16%, now rarely)
Stopped

Style patterns based on 42 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

19 Jan 2022 - 18 Nov 2025

0.2 posts/week avg
38/201 active weeks
163 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.) 19% HIGH VARIES
Whether CTAs include hashtags 17% of posts HIGH VARIES
CTAs phrased as questions vs statements 4% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
Whether CTAs include emoji 12% of posts TYPICAL VARIES
Whether any call-to-action exists 64% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 51% HIGH STEADY
Count of neutral/functional emoji ~1.0 HIGH STEADY
Emoji count relative to sentence count 27% HIGH STEADY
Emoji density in the hook section 11 - 16 HIGH STEADY
Emoji used to replace words entirely 17% HIGH VARIES
Number of emoji in call-to-action lines 0.4 - 1.2 HIGH STEADY
Number of emoji in the opening hook ~1.0 HIGH STEADY
Percentage of emoji that are neutral/functional 100% HIGH STEADY
Percentage of lines containing at least one emoji 51% HIGH STEADY
Average distance between repeated emoji 0% LOW STEADY
Average number of emoji appearing together in clusters 0% LOW STEADY
Balance between positive and negative emoji 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Count of positive/celebratory emoji ~0.0 LOW STEADY
Emoji count per 1000 words 2% LOW VARIES
Emoji usage in the middle section of the post 0% LOW STEADY
How consistently emoji pair with specific words 0% LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
How often the same emoji repeats across the post 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Number of different emoji types used 0.0 - 0.5 LOW VARIES
Number of emoji clusters (groups of adjacent emoji) ~0.0 LOW STEADY
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of emoji that are positive/celebratory 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
Total count of repeated emoji across the post ~0.0 LOW STEADY
Total number of emoji in the post 0.0 - 0.5 LOW VARIES
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
Emoji density in CTA sections 5 - 25 TYPICAL STEADY
Variety of different emoji used (unique/total ratio) 14% TYPICAL VARIES
Whether any emoji are used in the post 14% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Variety of different contractions used 43% HIGH VARIES
Count of negative contractions used 5% LOW VARIES
Usage of negative contractions (don't, won't, can't) 8% LOW VARIES
Count of positive contractions used 57% TYPICAL VARIES
Number of different contraction types 62% TYPICAL VARIES
Percentage of words that are contractions 78% TYPICAL VARIES
Ratio of negative to positive contractions 24:1 TYPICAL VARIES
Total number of contractions 62% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 70% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-22 per 1k words HIGH VARIES
Usage of 'the' per 1000 words 27 - 67 HIGH STEADY
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'but' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-21 per 1k words LOW VARIES
Overall grammatical word usage 196 - 271 TYPICAL STEADY
Usage of 'a' per 1000 words 6 - 32 TYPICAL STEADY
Usage of 'and' per 1000 words 15 - 46 TYPICAL STEADY
Usage of 'at' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 2 - 27 TYPICAL STEADY
Usage of 'of' per 1000 words 5 - 37 TYPICAL STEADY
Usage of 'on' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 21 - 63 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-17 per 1k words TYPICAL VARIES
Variety of function words used 47% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 5 - 14 HIGH STEADY
Proportion of hashtags in ALL CAPS 13% HIGH VARIES
Proportion of hashtags in the opening 28% HIGH VARIES
Proportion of hashtags placed at the end 69% HIGH STEADY
Proportion of hashtags using CamelCase 67% HIGH STEADY
Whether any hashtags are used 71% of posts HIGH STEADY
Whether the opening line contains a hashtag 33% HIGH VARIES
Hashtag density per 100 words 0.3 - 4.1 LOW STEADY
Proportion of all-lowercase hashtags 19% TYPICAL VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 178 TYPICAL VARIES
Total number of hashtags 0.3 - 3.4 TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Character count of the hook 235 - 480 HIGH STEADY
Character position where the hook ends 235 - 480 HIGH STEADY
Whether there's a blank line after the hook 43% HIGH VARIES
Number of emoji in the hook 0.0 - 0.3 LOW VARIES
Use of 'you/your' in the hook 1% LOW STEADY
Whether the hook contains emoji 7% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a clear opening hook section 19% of posts LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Hook length relative to total post 76% TYPICAL STEADY
Hook lines relative to total lines 60% TYPICAL STEADY
Negation words in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 76% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average characters per line 97 - 338 HIGH STEADY
Average words per line 15 - 57 HIGH STEADY
Variation in line lengths 0 - 1458 HIGH VARIES
Ratio of lines starting with ALL CAPS 1% LOW VARIES
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 12% LOW VARIES
Average lines per text block 0.9 - 1.2 TYPICAL STEADY
Average spacing between blank lines 94% TYPICAL VARIES
Blank lines per 100 total lines 15 - 46 TYPICAL STEADY
Lines containing exactly one sentence 51% TYPICAL STEADY
Number of visual text blocks 1.3 - 4.3 TYPICAL STEADY
Percentage of single-word lines 1% TYPICAL VARIES
Percentage of very short lines (<5 words) 12% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 30% TYPICAL STEADY
Spacing between content-rich lines 0.8 - 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 2% of posts LOW VARIES
Whether dash/bullet lists are used 2% 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 14% 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 34 - 73 TYPICAL STEADY
How often three-word phrases repeat 81% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 7.9 TYPICAL VARIES
Length of longest repeated phrase 0.2 - 3.0 TYPICAL STEADY
Number of unique words used 39 - 92 TYPICAL STEADY
Percentage of words used only once 82% TYPICAL STEADY
Ratio of meaningful words to grammatical words 3% TYPICAL STEADY
Unique words divided by total words 78% 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 There is/It is 0.0-0.4 per post HIGH VARIES
Count of sentences starting with pronouns 0.2-2.8 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-0.6 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 2% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 11 - 56 HIGH STEADY
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with adverbs 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with conjunctions 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with discourse markers ~0.0 per post TYPICAL STEADY
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with And, But, Or, So (%) 1% TYPICAL VARIES
Sentences starting with adverbs (%) 3% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Character length of the closing 231 - 568 HIGH STEADY
Whether the ending has a call-to-action 50% of posts HIGH VARIES
Whether the ending includes hashtags 71% of posts HIGH STEADY
Number of emoji in the closing 0.0 - 0.4 LOW VARIES
Whether the closing has a signature phrase 10% of posts LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending is a question 5% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Closing length relative to total post 84% TYPICAL STEADY
Whether the ending includes emoji 12% of posts TYPICAL VARIES
Whether there's a clear closing section 74% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.1 - 2.3 HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
How frequently new paragraphs start 15 - 54 LOW STEADY
Average sentences per paragraph 1.0 - 3.0 TYPICAL STEADY
Average sentences per paragraph 1.0 - 3.0 TYPICAL STEADY
Closing paragraph length vs body average 74% TYPICAL STEADY
Consecutive long paragraphs 12% TYPICAL VARIES
Consecutive short paragraphs 0.5 - 3.7 TYPICAL STEADY
How much paragraph length varies 0.0 - 4.1 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.2 - 4.3 TYPICAL STEADY
Total number of paragraphs 1.3 - 4.2 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 2.9 TYPICAL STEADY
Variation in length changes between paragraphs 60% 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 6% 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 8% TYPICAL STEADY
Percentage of words that are nouns 14 - 25 TYPICAL STEADY
Percentage of words that are prepositions 9 - 15 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 9 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 7 - 25 TYPICAL STEADY
How easy the text is to read (higher = easier) 34 - 62 TYPICAL STEADY
Percentage of complex words (3+ syllables) 12 - 25 TYPICAL STEADY
Total sentence count 2.2 - 6.6 TYPICAL STEADY
Total syllables in the post 72 - 214 TYPICAL STEADY
Total word count of the post 45 - 131 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (โ€“) usage per 1000 words 0-5 per 1k words HIGH VARIES
Colon usage per 1000 words 0-26 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (โ€”) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-24 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 0-6 per 1k words LOW VARIES
Percentage of sentences ending with a question 2% LOW VARIES
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Question marks per 1000 words 0-5 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 20-53 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 0-23 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 45 TYPICAL VARIES
Semicolon usage per 1000 words 0-2 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 162 HIGH VARIES
Lines using past tense 62% HIGH STEADY
Use of story transitions 20% HIGH VARIES
Whether the post tells a story 62% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Number of narrative/story signals 0.8 - 2.7 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.1 TYPICAL STEADY
Total characters in quoted content 0 - 178 TYPICAL VARIES
Whether the post contains quotations 55% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your longer sentences (80th percentile) 20 - 46 HIGH STEADY
Length of your shorter sentences (20th percentile) 5 - 20 HIGH STEADY
Overall sentence complexity 24 - 87 HIGH STEADY
Percentage of sentences over 20 words 44% HIGH STEADY
Parenthetical breaks per 1000 words 0-6 per 1k words LOW VARIES
Percentage of sentences under 8 words 12% LOW VARIES
Average number of clauses per sentence 1.8 - 3.2 TYPICAL STEADY
Average number of words per sentence 14 - 28 TYPICAL STEADY
Average words per sentence 14 - 28 TYPICAL STEADY
How much sentence length varies (normalized) 55% TYPICAL STEADY
How often paragraphs contain just one sentence 50% TYPICAL STEADY
Typical sentence length (median) 13 - 27 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.4 TYPICAL VARIES
Variation in sentence lengths 5 - 17 TYPICAL STEADY
Word count of shortest sentence 2 - 17 TYPICAL STEADY
Word count of the longest sentence 22 - 47 TYPICAL STEADY

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