Vertex Inc.'s AuthorDNA

The writing patterns that make your content uniquely yours

Based on 41 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 ↑ increasing
6x more
See example from 11 Oct 2024
Emoji count relative to sentence count
signature ↑ increasing
9x more
Number of emoji in the opening hook
signature ↑ increasing
8x more
Count of neutral/functional emoji
distinctive ↑ increasing
8x more
Proportion of all-lowercase hashtags
consistent ↑ increasing
3x more
Average lines per text block
distinctive
3x more
Largest group of adjacent emoji
distinctive ↑ increasing
13x more

Does Less Of...

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

Whether any list structure is used
consistent
rarely
Character length of the closing
1.8x less
Closing length relative to total post
1.4x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but your posts contain 9 times more emoji per sentence than the average LinkedIn author - and you’re 8 times more likely to open with a neutral, functional emoji right out of the gate. It’s not just a sprinkle here and there. Emoji are the scaffolding of your posts, quietly setting the tone before a single word is read.

Why does this work? It signals clarity, approachability, and an almost algorithmic efficiency that cuts through endless streams of jargon. Now try briefing this to a ghostwriter: “Open every post with a neutral emoji, keep nine per sentence, but make it feel natural.” They’d stare at you in disbelief - because this isn’t style, it’s muscle memory. You couldn’t engineer it if you tried.

And you’re doing all this less than once a week, almost like you’re setting the tempo for your audience to crave more. 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 (Oct 2017 - Oct 2024)

Recent 4 posts since Dec 2023
vs
Earlier 39 posts before Dec 2023
Hashtag usage Increasing (67% → 100%)
More
Emoji usage Increasing (56% → 100%)
More

Style patterns based on 43 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

08 Oct 2017 - 11 Oct 2024

0.1 posts/week avg
36/367 active weeks
331 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 emoji 44% of posts HIGH VARIES
Whether CTAs include hashtags 32% of posts HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 5% 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
CTAs phrased as questions vs statements 4% TYPICAL VARIES
Whether any call-to-action exists 58% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 84% HIGH VARIES
Average emoji per line of text 49% HIGH STEADY
Average number of emoji appearing together in clusters 98% HIGH VARIES
Balance between positive and negative emoji 14% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.3 HIGH VARIES
Count of neutral/functional emoji 0.7 - 6.6 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.2 HIGH VARIES
Emoji count per 1000 words 0 - 112 HIGH VARIES
Emoji count relative to sentence count 84% HIGH STEADY
Emoji density in CTA sections 0 - 71 HIGH VARIES
Emoji density in the hook section 0 - 167 HIGH VARIES
Emoji usage in the middle section of the post 0 - 70 HIGH VARIES
Emoji used to replace words entirely 22% HIGH VARIES
How consistently emoji pair with specific words 7% HIGH VARIES
How often the same emoji repeats across the post 11% HIGH VARIES
Largest group of adjacent emoji 100% HIGH VARIES
Number of different emoji types used 0.0 - 5.4 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 1.4 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.3 HIGH VARIES
Number of emoji in the opening hook 0.4 - 3.6 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 10% HIGH VARIES
Percentage of emoji that are negative/warning 1% HIGH VARIES
Percentage of emoji that are neutral/functional 83% HIGH STEADY
Percentage of emoji that are positive/celebratory 16% HIGH VARIES
Percentage of lines containing at least one emoji 36% HIGH STEADY
Proportion of emoji appearing in clusters 19% HIGH VARIES
Proportion of emoji that appear multiple times 9% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.9 HIGH VARIES
Total number of emoji in the post 0.0 - 6.5 HIGH VARIES
Variety of different emoji used (unique/total ratio) 59% HIGH STEADY
Whether any emoji are used in the post 66% of posts HIGH STEADY
Whether the post starts with an emoji 7% HIGH 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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 7% LOW VARIES
Count of positive contractions used 20% LOW VARIES
Number of different contraction types 24% LOW VARIES
Percentage of words that are contractions 33% LOW VARIES
Total number of contractions 27% LOW VARIES
Usage of negative contractions (don't, won't, can't) 8% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 26% LOW VARIES
Variety of different contractions used 16% LOW VARIES
Ratio of negative to positive contractions 24:1 TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'who' per 1000 words 0-20 per 1k words HIGH VARIES
Usage of 'as' per 1000 words 0-9 per 1k words LOW VARIES
Usage of 'because' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 113 - 275 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 32 TYPICAL VARIES
Usage of 'and' per 1000 words 3 - 49 TYPICAL STEADY
Usage of 'at' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 34 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 33 TYPICAL VARIES
Usage of 'on' per 1000 words 0-26 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 11 - 72 TYPICAL STEADY
Usage of 'to' per 1000 words 5 - 56 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-30 per 1k words TYPICAL VARIES
Variety of function words used 35% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 15 HIGH STEADY
Hashtag density per 100 words 0 - 18 HIGH VARIES
Proportion of all-lowercase hashtags 79% HIGH STEADY
Proportion of hashtags in the opening 30% HIGH VARIES
Proportion of hashtags placed at the end 47% HIGH STEADY
Proportion of hashtags woven into the text 23% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 267 HIGH VARIES
Total number of hashtags 0 - 10 HIGH VARIES
Whether any hashtags are used 73% of posts HIGH STEADY
Whether the opening line contains a hashtag 47% HIGH VARIES
Proportion of hashtags in ALL CAPS 4% TYPICAL VARIES
Proportion of hashtags using CamelCase 16% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 2.7 HIGH VARIES
Use of 'you/your' in the hook 3% HIGH VARIES
Whether the hook contains a question 32% of posts HIGH VARIES
Whether the hook contains emoji 51% of posts HIGH STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 3% TYPICAL VARIES
Character count of the hook 105 - 287 TYPICAL STEADY
Character position where the hook ends 105 - 287 TYPICAL STEADY
Hook length relative to total post 64% TYPICAL STEADY
Hook lines relative to total lines 57% TYPICAL STEADY
Negation words in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 64% TYPICAL STEADY
Whether there's a blank line after the hook 15% TYPICAL VARIES
Whether there's a clear opening hook section 39% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average lines per text block 0 - 11 HIGH VARIES
Percentage of single-word lines 18% HIGH VARIES
Percentage of very short lines (<5 words) 28% HIGH VARIES
Variation in block sizes 0.0 - 4.2 HIGH VARIES
Average characters per line 14 - 157 LOW STEADY
Average words per line 2 - 25 LOW STEADY
Ratio of lines starting with ALL CAPS 1% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in line lengths 0 - 128 LOW VARIES
Average spacing between blank lines 0.0 - 2.3 TYPICAL STEADY
Blank lines per 100 total lines 2 - 40 TYPICAL STEADY
Lines containing exactly one sentence 58% TYPICAL STEADY
Number of visual text blocks 0.4 - 7.6 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 21% TYPICAL STEADY
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Spacing between content-rich lines 0.4 - 1.9 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
How often three-word phrases repeat 0.0 - 5.6 HIGH VARIES
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 15 - 69 TYPICAL STEADY
How often two-word phrases repeat 0 - 13 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 3.5 TYPICAL VARIES
Number of unique words used 16 - 90 TYPICAL STEADY
Percentage of words used only once 84% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 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 subordinate clauses 0.0-1.0 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 81% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% HIGH VARIES
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.3 per post TYPICAL VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Count of sentences starting with conjunctions 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.5 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 95% TYPICAL VARIES
Sentences starting with adverbs (%) 4% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 29 TYPICAL VARIES
Sentences starting with time words (%) 96% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.5 HIGH VARIES
Whether the closing has emoji clusters 7% HIGH VARIES
Whether the ending includes emoji 34% of posts HIGH VARIES
Whether the ending includes hashtags 71% of posts HIGH STEADY
Character length of the closing 23 - 263 LOW STEADY
Whether the closing has a signature phrase 7% of posts LOW VARIES
Whether the ending has a call-to-action 15% of posts LOW VARIES
Whether the ending is a question 7% LOW VARIES
ALL CAPS words in the closing 3% TYPICAL VARIES
Closing length relative to total post 53% TYPICAL STEADY
Whether there's a clear closing section 68% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Consecutive short paragraphs 0 - 11 HIGH VARIES
How frequently new paragraphs start 9 - 188 HIGH STEADY
Total number of paragraphs 0 - 13 HIGH VARIES
Consecutive long paragraphs 7% LOW VARIES
How much paragraph length varies 64% LOW VARIES
Average change in length between paragraphs 58% TYPICAL VARIES
Average sentences per paragraph 1.0 - 2.4 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.4 TYPICAL STEADY
Closing paragraph length vs body average 75% TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 2.7 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.3 TYPICAL STEADY
Variation in length changes between paragraphs 74% TYPICAL VARIES
Parts of Speech
9
Feature Your DNA vs Others Consistency
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of auxiliary/helper verbs 6% TYPICAL VARIES
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 - 32 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) 1.3 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 21 TYPICAL STEADY
How easy the text is to read (higher = easier) 23 - 81 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 25 TYPICAL STEADY
Total sentence count 1.2 - 9.1 TYPICAL STEADY
Total syllables in the post 25 - 212 TYPICAL STEADY
Total word count of the post 13 - 136 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-28 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-6 per 1k words HIGH VARIES
Multiple question marks per 1000 words 0-3 per 1k words HIGH VARIES
Percentage of sentences ending with a question 0 - 30 HIGH VARIES
Percentage of sentences trailing off with ellipsis 4% HIGH VARIES
Question marks per 1000 words 0-49 per 1k words HIGH VARIES
Colon usage per 1000 words 0-30 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
Parentheses usage per 1000 words 0-8 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-3 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 0-56 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-39 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-34 per 1k words TYPICAL VARIES
Multiple exclamation marks per 1000 words 0-3 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 32 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 30 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 26% LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 90 LOW VARIES
Whether the post tells a story 22% of posts LOW VARIES
Number of narrative/story signals 0.1 - 1.7 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.7 TYPICAL VARIES
Use of story transitions 7% TYPICAL VARIES
Whether the post contains quotations 29% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-8 per 1k words LOW VARIES
Average number of clauses per sentence 1.2 - 2.7 TYPICAL STEADY
Average number of words per sentence 6 - 21 TYPICAL STEADY
Average words per sentence 6 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 53% TYPICAL STEADY
How often paragraphs contain just one sentence 51% TYPICAL STEADY
Length of your longer sentences (80th percentile) 10 - 31 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 1 - 15 TYPICAL STEADY
Overall sentence complexity 1 - 64 TYPICAL STEADY
Percentage of sentences over 20 words 23% TYPICAL VARIES
Percentage of sentences under 8 words 36% TYPICAL STEADY
Typical sentence length (median) 5 - 21 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 2.7 TYPICAL VARIES
Variation in sentence lengths 3 - 12 TYPICAL STEADY
Word count of shortest sentence 0 - 13 TYPICAL VARIES
Word count of the longest sentence 11 - 38 TYPICAL STEADY

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