Victoria Mac Manus's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 8 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 positive/celebratory
signature
21x more
See example from 07 May 2025
Balance between positive and negative emoji
signature
23x more
Percentage of lines containing at least one emoji
signature
6x more
Count of positive/celebratory emoji
signature
8x more
Number of emoji in call-to-action lines
signature
6x more
Average change in length between paragraphs
signature
4x more
Opening paragraph length vs body average
4x more

Does Less Of...

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

Average spacing between blank lines
consistent
rarely
Average position of CTAs in the post
consistent
rarely
Whether there's a clear opening hook section
consistent
rarely
Whether there's a blank line after the hook
consistent
rarely
Percentage of emoji that are neutral/functional
consistent
rarely
Negation words in the hook
consistent
rarely
Parenthetical breaks per 1000 words
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but an incredible 21 times more of your emoji are positive or celebratory compared to the LinkedIn average. Not just that - your posts pack in 23 times more balance between positive and negative emoji than the norm, and a whopping 6 times more lines contain at least one emoji. It's not just a little extra sparkle. It's a full-on confetti cannon, every time you write.

Here's why it works: this overflow of positivity pulls people in - it signals warmth, confidence, and momentum before anyone even reads the words. But try briefing a ghostwriter to "use 6 times more emoji in call-to-action lines, but make sure 21 times more of them are celebratory, and maintain 23 times the usual balance." They'd think you'd lost your mind. This isn't a style guide - it's your subconscious on autopilot. You couldn't reverse-engineer it if you wanted to.

And yet, you post less than once a week. 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.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

09 Jul 2020 - 30 Apr 2025

0 posts/week avg
8/252 active weeks
244 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs include hashtags 38% of posts HIGH VARIES
Average position of CTAs in the post Near top LOW STEADY
CTAs phrased as questions vs statements 0% LOW STEADY
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 emoji 0% of posts LOW STEADY
Whether any call-to-action exists 50% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 50% HIGH STEADY
Balance between positive and negative emoji 100% HIGH STEADY
Count of positive/celebratory emoji ~1.0 HIGH STEADY
Emoji count relative to sentence count 33% HIGH STEADY
Emoji density in the hook section 17 HIGH STEADY
Number of emoji in call-to-action lines ~1.0 HIGH STEADY
Number of emoji in the opening hook ~1.0 HIGH STEADY
Percentage of emoji that are positive/celebratory 100% HIGH STEADY
Percentage of lines containing at least one emoji 50% HIGH STEADY
Average distance between repeated emoji 0% LOW STEADY
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Count of neutral/functional 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
Emoji used to replace words entirely 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 neutral/functional 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 any emoji are used in the post 12% of posts LOW VARIES
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 17 TYPICAL STEADY
Variety of different emoji used (unique/total ratio) 12% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Variety of different contractions used 50% HIGH VARIES
Count of negative contractions used 0% LOW STEADY
Ratio of negative to positive contractions balanced LOW STEADY
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Count of positive contractions used 62% TYPICAL VARIES
Number of different contraction types 62% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Total number of contractions 62% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'and' per 1000 words 23 - 52 HIGH STEADY
Usage of 'if' per 1000 words 0-18 per 1k words HIGH VARIES
Usage of 'who' per 1000 words 0 - 27 HIGH VARIES
Usage of 'as' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-9 per 1k words LOW VARIES
Usage of 'of' per 1000 words 0-24 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-10 per 1k words LOW VARIES
Usage of 'so' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'the' per 1000 words 0 - 41 LOW STEADY
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Overall grammatical word usage 163 - 218 TYPICAL STEADY
Usage of 'a' per 1000 words 5 - 43 TYPICAL STEADY
Usage of 'at' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 1 - 28 TYPICAL STEADY
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 14 - 57 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 21 TYPICAL VARIES
Variety of function words used 36% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 13 HIGH STEADY
Hashtag density per 100 words 3 - 11 HIGH STEADY
Proportion of all-lowercase hashtags 57% HIGH STEADY
Proportion of hashtags in ALL CAPS 11% HIGH VARIES
Proportion of hashtags in the opening 51% HIGH STEADY
Proportion of hashtags placed at the end 49% HIGH STEADY
Proportion of hashtags using CamelCase 32% HIGH VARIES
Total number of hashtags 1.7 - 4.8 HIGH STEADY
Whether any hashtags are used 88% of posts HIGH STEADY
Whether the opening line contains a hashtag 71% HIGH STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook contains a question 25% of posts HIGH VARIES
ALL CAPS words in the hook 0% LOW STEADY
Negation words in the hook ~0.0 LOW STEADY
Number of emoji in the hook 0.0 - 0.5 LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 0% LOW STEADY
Whether there's a clear opening hook section 0% of posts LOW STEADY
Character count of the hook 159 - 468 TYPICAL STEADY
Character position where the hook ends 159 - 468 TYPICAL STEADY
Hook length relative to total post 95% TYPICAL STEADY
Hook lines relative to total lines 77% TYPICAL STEADY
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 95% TYPICAL STEADY
Whether the hook contains emoji 12% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average characters per line 140 - 288 HIGH STEADY
Average words per line 23 - 47 HIGH STEADY
Percentage of very short lines (<5 words) 21% HIGH VARIES
Variation in line lengths 0 - 2465 HIGH VARIES
Average spacing between blank lines 0% LOW STEADY
Blank lines per 100 total lines 0 - 16 LOW VARIES
Lines containing exactly one sentence 27% LOW VARIES
Number of visual text blocks 0.8 - 1.5 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Predictability of line length pattern Very consistent LOW VARIES
Proportion of blank space 4% LOW 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 punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Spacing between content-rich lines 62% LOW VARIES
Variation in block sizes 0% LOW STEADY
Average lines per text block 0.7 - 2.3 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 0% LOW STEADY
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 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
Use of inline enumeration 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 0% of posts LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
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
How often three-word phrases repeat 0% LOW STEADY
How often two-word phrases repeat 38% LOW VARIES
Length of longest repeated phrase 25% LOW VARIES
Count of words used only once 28 - 55 TYPICAL STEADY
Number of unique words used 29 - 63 TYPICAL STEADY
Percentage of words used only once 91% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 90% 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 time words 0.0-0.9 per post HIGH VARIES
Sentences starting with -ing verbs (%) 4% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 1 - 40 HIGH STEADY
Sentences starting with time words (%) 7% 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 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Count of sentences starting with adverbs 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with discourse markers ~0.0 per post TYPICAL STEADY
Count of sentences starting with pronouns 0.1-1.1 per post TYPICAL STEADY
Count of sentences starting with subordinate clauses ~0.0 per post TYPICAL STEADY
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with adverbs (%) 2% TYPICAL VARIES
Sentences starting with subordinate clauses (%) 0% TYPICAL STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 25% of posts HIGH VARIES
Whether the ending has a call-to-action 75% of posts HIGH STEADY
Whether the ending includes hashtags 88% of posts HIGH STEADY
Whether the ending is a question 25% HIGH VARIES
ALL CAPS words in the closing 1% LOW VARIES
Number of emoji in the closing 0.0 - 0.5 LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Character length of the closing 157 - 510 TYPICAL STEADY
Closing length relative to total post 100% TYPICAL STEADY
Whether the ending includes emoji 12% of posts TYPICAL VARIES
Whether there's a clear closing section 88% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 1.6 - 4.4 HIGH STEADY
How much paragraph length varies 0 - 10 HIGH VARIES
Opening paragraph length vs body average 3% HIGH STEADY
Closing paragraph length vs body average 27% LOW STEADY
Consecutive short paragraphs 62% LOW STEADY
How frequently new paragraphs start 14 - 51 LOW STEADY
Total number of paragraphs 0.9 - 2.4 LOW STEADY
Variation in length changes between paragraphs 0% LOW STEADY
Average sentences per paragraph 1.9 - 3.2 TYPICAL STEADY
Average sentences per paragraph 1.9 - 3.2 TYPICAL STEADY
Consecutive long paragraphs 12% TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 2.2 - 4.6 TYPICAL STEADY
Typical paragraph length (median) 1.7 - 3.3 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 7% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 14 - 22 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 8 - 14 TYPICAL STEADY
Percentage of words that are verbs 10 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 2.2 - 5.5 LOW STEADY
Total syllables in the post 41 - 140 LOW STEADY
Total word count of the post 30 - 76 LOW STEADY
Average word complexity (syllables per word) 1.5 - 1.9 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 17 TYPICAL STEADY
How easy the text is to read (higher = easier) 33 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 15 - 22 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Semicolon usage per 1000 words 0-7 per 1k words HIGH VARIES
Colon usage per 1000 words 0-16 per 1k words LOW VARIES
Comma usage per 1000 words 0-25 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 1-23 per 1k words LOW STEADY
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 per 1k words LOW STEADY
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Ellipsis (...) usage per 1000 words 0-12 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 5-30 per 1k words TYPICAL STEADY
Percentage of sentences ending with a question 8% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 35 TYPICAL VARIES
Question marks per 1000 words 0-21 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 461 HIGH VARIES
Lines using past tense 69% HIGH STEADY
Total characters in quoted content 0 - 461 HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Number of narrative/story signals 0.6 - 2.4 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.0 TYPICAL VARIES
Use of story transitions 6% TYPICAL VARIES
Whether the post contains quotations 50% of posts TYPICAL VARIES
Whether the post tells a story 50% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How often paragraphs contain just one sentence 27% LOW VARIES
Parenthetical breaks per 1000 words ~0 per 1k words LOW STEADY
Average number of clauses per sentence 1.8 - 2.8 TYPICAL STEADY
Average number of words per sentence 10 - 19 TYPICAL STEADY
Average words per sentence 10 - 19 TYPICAL STEADY
How much sentence length varies (normalized) 50% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 24 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 16 TYPICAL STEADY
Overall sentence complexity 19 - 51 TYPICAL STEADY
Percentage of sentences over 20 words 29% TYPICAL VARIES
Percentage of sentences under 8 words 22% TYPICAL STEADY
Typical sentence length (median) 11 - 20 TYPICAL STEADY
Variation in clause count across sentences 1.1 - 2.5 TYPICAL STEADY
Variation in sentence lengths 4.7 - 8.4 TYPICAL STEADY
Word count of shortest sentence 0 - 13 TYPICAL STEADY
Word count of the longest sentence 18 - 25 TYPICAL STEADY

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