Catherine Picknell's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 69 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
11x more
Average emoji per line of text
signature ↑ increasing
14x more
Percentage of emoji that are positive/celebratory
signature ↑ increasing
14x more
See example from 29 Apr 2025
Balance between positive and negative emoji
signature ↑ increasing
15x more
Number of emoji in call-to-action lines
signature ↑ increasing
10x more
Emoji count relative to sentence count
signature ↑ increasing
10x more
Count of positive/celebratory emoji
signature ↑ increasing
13x more

Does Less Of...

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

Number of visual text blocks
3x less
Spacing between content-rich lines
3x less
Predictability of line length pattern
2x less
Percentage of auxiliary/helper verbs
1.9x less
Percentage of words that are pronouns
1.7x less
Number of unique words used
1.6x less
Variety of function words used
1.4x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but in your LinkedIn posts, 11 times as many lines contain at least one emoji compared to the average user. That’s not a typo: your updates are practically coded in emoji, and when you do use them, 14 times more are positive or celebratory. Even your call-to-action lines are loaded - 10 times as many emoji as your peers. It’s not just a stylistic flourish; it’s a system.

This works because you’re broadcasting energy without saying a word. Your posts skip the usual filler - you use nearly twice fewer pronouns and helper verbs - and instead, you let the visuals do the talking. Now try briefing this to a ghostwriter: “Put 14x the average number of positive emoji in every line, but don’t sound forced, and dial down the pronouns.” They’d have no idea where to start. This isn’t a formula - it’s a reflex.

You only post about once every five weeks, but when you do, your signature is unmistakable. 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 (May 2018 - May 2025)

Recent 11 posts since Dec 2023
vs
Earlier 58 posts before Dec 2023
Hashtag usage Increasing (47% → 82%)
More
Emoji usage Increasing (9% → 45%)
More

Style patterns based on 69 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

25 May 2018 - 20 May 2025

0.2 posts/week avg
46/366 active weeks
320 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 phrased as questions vs statements 2% LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 3% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include emoji 1% of posts LOW VARIES
Whether CTAs include hashtags 6% of posts LOW VARIES
Whether any call-to-action exists 48% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 0.5 - 2.6 HIGH STEADY
Average number of emoji appearing together in clusters 0.0 - 2.5 HIGH VARIES
Balance between positive and negative emoji 67% HIGH STEADY
Count of neutral/functional emoji 0.0 - 2.1 HIGH VARIES
Count of positive/celebratory emoji 0.1 - 3.1 HIGH STEADY
Emoji count relative to sentence count 98% HIGH STEADY
Emoji density in CTA sections 17 - 99 HIGH STEADY
Emoji density in the hook section 3 - 134 HIGH STEADY
Emoji used to replace words entirely 22% HIGH VARIES
How consistently emoji pair with specific words 15% HIGH VARIES
How often the same emoji repeats across the post 11% HIGH VARIES
Largest group of adjacent emoji 0.0 - 2.5 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.9 HIGH VARIES
Number of emoji in call-to-action lines 0.7 - 2.6 HIGH STEADY
Number of emoji in the opening hook 0.6 - 2.8 HIGH STEADY
Percentage of emoji that are neutral/functional 33% HIGH VARIES
Percentage of emoji that are positive/celebratory 67% HIGH STEADY
Percentage of lines containing at least one emoji 88% HIGH STEADY
Proportion of emoji appearing in clusters 38% HIGH VARIES
Proportion of emoji that appear multiple times 23% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.2 HIGH VARIES
Whether the post starts with an emoji 8% HIGH VARIES
Count of negative/warning emoji ~0.0 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 emoji that are negative/warning 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
Average distance between repeated emoji 8% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 0 - 38 TYPICAL VARIES
Number of different emoji types used 0.0 - 1.5 TYPICAL VARIES
Percentage of emoji that are 'corpspeak' type 77% TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.8 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 16% TYPICAL VARIES
Whether any emoji are used in the post 19% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 6% LOW VARIES
Count of positive contractions used 25% LOW VARIES
Number of different contraction types 29% LOW VARIES
Percentage of words that are contractions 42% LOW VARIES
Ratio of negative to positive contractions 15:1 LOW VARIES
Total number of contractions 30% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 30% LOW VARIES
Variety of different contractions used 15% LOW VARIES
Usage of negative contractions (don't, won't, can't) 12% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 49 HIGH VARIES
Usage of 'a' per 1000 words 0 - 33 LOW VARIES
Usage of 'and' per 1000 words 0 - 30 LOW VARIES
Usage of 'as' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-1 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
Usage of 'so' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-3 per 1k words LOW VARIES
Overall grammatical word usage 124 - 242 TYPICAL STEADY
Usage of 'by' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 32 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 37 TYPICAL VARIES
Usage of 'on' per 1000 words 0 - 30 TYPICAL VARIES
Usage of 'that' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 1 - 66 TYPICAL STEADY
Usage of 'to' per 1000 words 4 - 70 TYPICAL STEADY
Usage of 'with' per 1000 words 0-23 per 1k words TYPICAL VARIES
Variety of function words used 26% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 6 - 15 HIGH STEADY
Proportion of all-lowercase hashtags 52% HIGH STEADY
Proportion of hashtags in ALL CAPS 20% HIGH VARIES
Proportion of hashtags in the opening 83% HIGH STEADY
Whether the opening line contains a hashtag 83% HIGH STEADY
Proportion of hashtags placed at the end 14% LOW VARIES
Total number of hashtags 0.0 - 2.5 LOW VARIES
Hashtag density per 100 words 0.0 - 5.8 TYPICAL VARIES
Proportion of hashtags using CamelCase 23% TYPICAL VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 135 TYPICAL VARIES
Whether any hashtags are used 52% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
ALL CAPS words in the hook 5% HIGH VARIES
Number of emoji in the hook 0.0 - 1.1 HIGH VARIES
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook contains a question 6% of posts LOW VARIES
Whether there's a blank line after the hook 4% LOW VARIES
Whether there's a clear opening hook section 7% of posts LOW VARIES
Character count of the hook 96 - 338 TYPICAL STEADY
Character position where the hook ends 96 - 338 TYPICAL STEADY
Hook length relative to total post 93% TYPICAL STEADY
Hook lines relative to total lines 89% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 93% TYPICAL STEADY
Whether the hook contains emoji 17% of posts TYPICAL VARIES
Whether the hook starts with a conjunction 1% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Ratio of lines starting with ALL CAPS 4% HIGH VARIES
Average spacing between blank lines 12% LOW VARIES
Blank lines per 100 total lines 0 - 13 LOW VARIES
Number of visual text blocks 0.3 - 2.2 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Percentage of very short lines (<5 words) 8% LOW VARIES
Predictability of line length pattern Very consistent LOW VARIES
Proportion of blank space 3% LOW VARIES
Ratio of lines starting with punctuation 1% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Spacing between content-rich lines 39% LOW VARIES
Variation in block sizes 0% LOW STEADY
Average characters per line 67 - 303 TYPICAL STEADY
Average lines per text block 0.0 - 4.9 TYPICAL VARIES
Average words per line 11 - 46 TYPICAL STEADY
Lines containing exactly one sentence 39% TYPICAL VARIES
Ratio of lines starting with numbers 1% TYPICAL VARIES
Variation in line lengths 0 - 711 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 4% LOW 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 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 1% of posts LOW VARIES
Whether dash/bullet lists are used 1% 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
Number of dash/bullet list sections 0.0 - 0.8 TYPICAL VARIES
Use of inline enumeration 1% TYPICAL STEADY
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
How often three-word phrases repeat 8% LOW VARIES
How often two-word phrases repeat 80% LOW VARIES
Length of longest repeated phrase 41% LOW VARIES
Number of unique words used 5 - 72 LOW STEADY
Common idioms and expressions per 1000 words 12% TYPICAL VARIES
Count of idiomatic expressions 0.0 - 0.1 TYPICAL VARIES
Count of words used only once 8 - 61 TYPICAL STEADY
Percentage of words used only once 93% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 91% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.5 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.2 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with -ing verbs (%) 8% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 84% HIGH VARIES
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with subordinate clauses (%) 1% HIGH VARIES
Sentences starting with time words (%) 1% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions 0.0-0.2 per post LOW VARIES
Count of sentences starting with pronouns 0.0-1.0 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with pronouns (I, You, We, They) (%) 5% LOW VARIES
Count of sentences starting with adverbs 0.0-0.6 per post TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 84% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 5% HIGH VARIES
Whether the closing has a signature phrase 30% of posts HIGH VARIES
Whether the closing has emoji clusters 7% HIGH VARIES
Whether the ending is a question 6% LOW VARIES
Character length of the closing 76 - 408 TYPICAL STEADY
Closing length relative to total post 95% TYPICAL STEADY
Number of emoji in the closing 0.0 - 1.1 TYPICAL VARIES
Whether the ending has a call-to-action 23% of posts TYPICAL VARIES
Whether the ending includes emoji 19% of posts TYPICAL VARIES
Whether the ending includes hashtags 52% of posts TYPICAL STEADY
Whether there's a clear closing section 51% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.0 - 2.2 HIGH VARIES
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 4% LOW VARIES
Consecutive short paragraphs 0.0 - 4.6 LOW VARIES
Total number of paragraphs 0.0 - 5.3 LOW VARIES
Variation in length changes between paragraphs 16% LOW VARIES
Average sentences per paragraph 1.0 - 3.1 TYPICAL STEADY
Average sentences per paragraph 1.0 - 3.1 TYPICAL STEADY
Closing paragraph length vs body average 60% TYPICAL STEADY
How frequently new paragraphs start 20 - 73 TYPICAL STEADY
How much paragraph length varies 0.0 - 3.3 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.1 - 3.4 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 3.1 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of auxiliary/helper verbs 3% LOW STEADY
Percentage of words that are pronouns 5% LOW STEADY
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 2% TYPICAL VARIES
Percentage of words that are determiners 5% TYPICAL STEADY
Percentage of words that are nouns 12 - 27 TYPICAL STEADY
Percentage of words that are prepositions 8 - 17 TYPICAL STEADY
Percentage of words that are verbs 6 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 0 - 20 LOW VARIES
Total sentence count 0.6 - 5.2 LOW STEADY
Total syllables in the post 0 - 165 LOW VARIES
Total word count of the post 0 - 95 LOW VARIES
Average word complexity (syllables per word) 1.5 - 1.9 TYPICAL STEADY
How easy the text is to read (higher = easier) 25 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 10 - 27 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-42 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 0 - 38 HIGH VARIES
Em dash (—) usage per 1000 words 0-2 per 1k words LOW VARIES
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Mixed punctuation clusters 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 0-9 per 1k words LOW VARIES
Percentage of sentences ending with a question 2% LOW VARIES
Question marks per 1000 words 0-12 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-2 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-33 per 1k words TYPICAL VARIES
Comma usage per 1000 words 12-83 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-41 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-31 per 1k words TYPICAL VARIES
Multiple exclamation marks per 1000 words 0-7 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 47 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 1.0 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 106 LOW VARIES
Whether the post contains quotations 22% of posts LOW VARIES
Whether the post tells a story 19% of posts LOW VARIES
Average length of quoted passages 0 - 101 TYPICAL VARIES
Lines using past tense 37% TYPICAL VARIES
Number of narrative/story signals 0.0 - 1.7 TYPICAL VARIES
Use of story transitions 11% TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-10 per 1k words LOW VARIES
Average number of clauses per sentence 0.8 - 2.9 TYPICAL STEADY
Average number of words per sentence 6 - 28 TYPICAL STEADY
Average words per sentence 6 - 28 TYPICAL STEADY
How much sentence length varies (normalized) 62% TYPICAL STEADY
How often paragraphs contain just one sentence 39% TYPICAL VARIES
Length of your longer sentences (80th percentile) 0 - 54 TYPICAL VARIES
Length of your shorter sentences (20th percentile) 0 - 20 TYPICAL VARIES
Overall sentence complexity 0 - 109 TYPICAL VARIES
Percentage of sentences over 20 words 34% TYPICAL VARIES
Percentage of sentences under 8 words 30% TYPICAL STEADY
Typical sentence length (median) 7 - 24 TYPICAL STEADY
Variation in clause count across sentences 0 - 14 TYPICAL VARIES
Variation in sentence lengths 0 - 24 TYPICAL VARIES
Word count of shortest sentence 0 - 19 TYPICAL VARIES
Word count of the longest sentence 0 - 55 TYPICAL VARIES

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