Catherine Edmunds's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 62 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

Average emoji per line of text
signature ↑ increasing
14x more
Number of emoji in call-to-action lines
signature ↑ increasing
14x more
Largest group of adjacent emoji
signature ↑ increasing
25x more
Number of emoji in the opening hook
signature ↑ increasing
13x more
Average number of emoji appearing together in clusters
signature ↑ increasing
22x more
Percentage of lines containing at least one emoji
signature ↑ increasing
8x more
Number of emoji clusters (groups of adjacent emoji)
signature ↑ increasing
27x more

Does Less Of...

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

How easy the text is to read (higher = easier)
consistent
1.4x less
Unique words divided by total words
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 pack emoji into clusters at a rate 22 times higher than the LinkedIn average. In fact, your biggest adjacent emoji group is 25x what most people ever attempt - we're talking emoji avalanches, not just sprinkles. And your call-to-action lines? Fourteen times more emoji than the norm. Even your opening hooks explode with 13x more emoji than the average LinkedIn author.

Why does this work? It’s pure signal - readers can't help but stop scrolling when faced with your visual energy. Emoji clusters are your signature, a subconscious flag that says, "This is unmistakably Catherine Edmunds." Now try briefing a ghostwriter to drop emoji in clusters 22 times bigger than anyone else, but not too many, and always in the opening hook. Impossible. You couldn't reverse-engineer it if you tried - it's built into your AuthorDNA.

And the kicker: you post less than once a week, at just 0.5 posts weekly. 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 (Jun 2023 - Nov 2025)

Recent 35 posts since Dec 2023
vs
Earlier 27 posts before Dec 2023
Emoji usage Increasing (22% → 40%)
More

Style patterns based on 62 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

11 Jun 2023 - 17 Nov 2025

0.5 posts/week avg
39/129 active weeks
90 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 phrased as questions vs statements 10% HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 26% HIGH VARIES
Whether CTAs are concentrated at the end of the post 10% HIGH VARIES
Whether CTAs include hashtags 29% of posts HIGH VARIES
Whether CTAs include emoji 8% of posts TYPICAL VARIES
Whether any call-to-action exists 68% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 75% HIGH VARIES
Average emoji per line of text 0.5 - 2.6 HIGH STEADY
Average number of emoji appearing together in clusters 0.4 - 3.0 HIGH STEADY
Balance between positive and negative emoji 18% HIGH VARIES
Count of neutral/functional emoji 1.0 - 7.2 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.1 HIGH VARIES
Emoji count relative to sentence count 77% HIGH STEADY
Emoji density in CTA sections 1 - 61 HIGH STEADY
Emoji density in the hook section 0 - 81 HIGH VARIES
Emoji usage in the middle section of the post 0 - 178 HIGH VARIES
Emoji used to replace words entirely 23% HIGH STEADY
How consistently emoji pair with specific words 2% HIGH VARIES
How often the same emoji repeats across the post 9% HIGH VARIES
Largest group of adjacent emoji 0.4 - 3.3 HIGH STEADY
Number of different emoji types used 0.0 - 3.9 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.1 - 2.0 HIGH STEADY
Number of emoji in call-to-action lines 0.2 - 4.9 HIGH STEADY
Number of emoji in the opening hook 0.9 - 5.0 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 0 - 29 HIGH VARIES
Percentage of emoji that are neutral/functional 82% HIGH STEADY
Percentage of emoji that are positive/celebratory 18% HIGH VARIES
Percentage of lines containing at least one emoji 65% HIGH STEADY
Proportion of emoji appearing in clusters 51% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 2.0 HIGH VARIES
Total number of emoji in the post 0.0 - 4.5 HIGH VARIES
Variety of different emoji used (unique/total ratio) 30% HIGH VARIES
Whether any emoji are used in the post 32% of posts HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
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
Proportion of emoji that appear multiple times 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
Emoji count per 1000 words 0 - 28 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 2% LOW VARIES
Count of positive contractions used 10% LOW VARIES
Number of different contraction types 11% LOW VARIES
Percentage of words that are contractions 14% LOW VARIES
Ratio of negative to positive contractions 1:62 LOW VARIES
Total number of contractions 11% LOW VARIES
Usage of negative contractions (don't, won't, can't) 2% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 12% LOW VARIES
Variety of different contractions used 8% LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'and' per 1000 words 27 - 60 HIGH STEADY
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'but' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 189 - 271 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 30 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'is' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 7 - 36 TYPICAL STEADY
Usage of 'on' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 20 - 62 TYPICAL STEADY
Usage of 'to' per 1000 words 21 - 62 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 21 TYPICAL VARIES
Variety of function words used 50% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 67% HIGH STEADY
Proportion of hashtags in ALL CAPS 10% HIGH VARIES
Proportion of hashtags in the opening 41% HIGH STEADY
Proportion of hashtags woven into the text 32% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 620 HIGH VARIES
Total number of hashtags 1.5 - 6.7 HIGH STEADY
Whether any hashtags are used 94% of posts HIGH STEADY
Whether the opening line contains a hashtag 72% HIGH STEADY
Hashtag density per 100 words 1.0 - 7.2 TYPICAL STEADY
Proportion of hashtags placed at the end 27% TYPICAL VARIES
Proportion of hashtags using CamelCase 23% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Character count of the hook 229 - 585 HIGH STEADY
Character position where the hook ends 229 - 585 HIGH STEADY
Number of emoji in the hook 0.0 - 1.5 HIGH VARIES
Whether the hook starts with a conjunction 2% HIGH VARIES
Whether there's a blank line after the hook 27% HIGH VARIES
Use of 'you/your' in the hook 1% LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Hook length relative to total post 64% TYPICAL STEADY
Hook lines relative to total lines 54% TYPICAL STEADY
Negation words in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 64% TYPICAL STEADY
Whether the hook contains a question 14% of posts TYPICAL VARIES
Whether the hook contains emoji 18% of posts TYPICAL VARIES
Whether there's a clear opening hook section 29% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average characters per line 100 - 416 HIGH STEADY
Average words per line 15 - 68 HIGH STEADY
Variation in line lengths 0 - 2268 HIGH VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average lines per text block 0.4 - 2.8 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.0 TYPICAL VARIES
Blank lines per 100 total lines 5 - 44 TYPICAL STEADY
Lines containing exactly one sentence 50% TYPICAL STEADY
Number of visual text blocks 0.8 - 5.1 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 8% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 24% TYPICAL STEADY
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Spacing between content-rich lines 0.7 - 2.1 TYPICAL STEADY
Variation in block sizes 33% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 8% LOW VARIES
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 - 0.1 LOW VARIES
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
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 5% of posts LOW VARIES
Whether emoji bullet lists are used 2% of posts LOW VARIES
Whether numbered lists are used 0% of posts LOW STEADY
Average items per emoji list 8% 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 15% TYPICAL VARIES
Count of idiomatic expressions 0.0 - 0.1 TYPICAL VARIES
Count of words used only once 37 - 110 TYPICAL STEADY
How often three-word phrases repeat 83% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.5 TYPICAL STEADY
Length of longest repeated phrase 0.0 - 3.9 TYPICAL VARIES
Number of unique words used 41 - 140 TYPICAL STEADY
Percentage of words used only once 83% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 76% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with There is/It is 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.3 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.3 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 0.0-2.6 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.1 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' (%) 2% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 5% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.5 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 36 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Character length of the closing 277 - 843 HIGH STEADY
Number of emoji in the closing 0.0 - 3.3 HIGH VARIES
Whether the closing has a signature phrase 40% of posts HIGH VARIES
Whether the closing has emoji clusters 19% HIGH VARIES
Whether the ending has a call-to-action 60% of posts HIGH STEADY
Whether the ending includes emoji 29% of posts HIGH VARIES
Whether the ending includes hashtags 84% of posts HIGH STEADY
ALL CAPS words in the closing 2% LOW VARIES
Closing length relative to total post 79% TYPICAL STEADY
Whether the ending is a question 18% TYPICAL VARIES
Whether there's a clear closing section 89% 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
Closing paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 24% HIGH VARIES
Opening paragraph length vs body average 1% HIGH STEADY
How frequently new paragraphs start 12 - 50 LOW STEADY
Average sentences per paragraph 0.8 - 3.5 TYPICAL STEADY
Average sentences per paragraph 0.8 - 3.5 TYPICAL STEADY
Consecutive short paragraphs 0.7 - 4.0 TYPICAL STEADY
How much paragraph length varies 0.0 - 4.3 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.2 - 4.8 TYPICAL STEADY
Total number of paragraphs 1.4 - 5.3 TYPICAL STEADY
Typical paragraph length (median) 0.7 - 3.4 TYPICAL STEADY
Variation in length changes between paragraphs 83% 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 4% TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 17 - 27 TYPICAL STEADY
Percentage of words that are prepositions 9 - 15 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 9 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 8 - 41 HIGH STEADY
Total syllables in the post 72 - 363 HIGH STEADY
Average word complexity (syllables per word) 1.6 - 1.9 TYPICAL STEADY
How easy the text is to read (higher = easier) 22 - 55 TYPICAL STEADY
Percentage of complex words (3+ syllables) 14 - 26 TYPICAL STEADY
Total sentence count 1 - 11 TYPICAL STEADY
Total word count of the post 39 - 219 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-5 per 1k words HIGH VARIES
Colon usage per 1000 words 0-22 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-1 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-22 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 trailing off with ellipsis 0% LOW STEADY
Question marks per 1000 words 0-8 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Semicolon usage per 1000 words 0-1 per 1k words LOW VARIES
Comma usage per 1000 words 16-78 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-7 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-30 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 6% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 38 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 67 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.5 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 67 LOW VARIES
Whether the post contains quotations 14% of posts LOW VARIES
Lines using past tense 57% TYPICAL STEADY
Number of narrative/story signals 0.6 - 1.9 TYPICAL STEADY
Use of story transitions 9% TYPICAL VARIES
Whether the post tells a story 34% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of words per sentence 15 - 31 HIGH STEADY
Average words per sentence 15 - 31 HIGH STEADY
Length of your longer sentences (80th percentile) 22 - 53 HIGH STEADY
Overall sentence complexity 24 - 117 HIGH STEADY
Percentage of sentences over 20 words 49% HIGH STEADY
Typical sentence length (median) 12 - 31 HIGH STEADY
Variation in clause count across sentences 0 - 11 HIGH VARIES
Variation in sentence lengths 6 - 23 HIGH STEADY
Word count of the longest sentence 26 - 56 HIGH STEADY
Parenthetical breaks per 1000 words 0-7 per 1k words LOW VARIES
Percentage of sentences under 8 words 18% LOW VARIES
Average number of clauses per sentence 2.0 - 3.7 TYPICAL STEADY
How much sentence length varies (normalized) 63% TYPICAL STEADY
How often paragraphs contain just one sentence 48% TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 17 TYPICAL STEADY
Word count of shortest sentence 2 - 14 TYPICAL STEADY

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