Alex Wilkinson's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 22 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

Proportion of all-lowercase hashtags
signature
4x more
Proportion of hashtags woven into the text
9x more
Percentage of words used only once
consistent
1.1x more
Unique words divided by total words
consistent
1.1x more
Hook lines relative to total lines
consistent
1.5x more
Hook length relative to total post
consistent
1.4x more
Where LinkedIn's 'see more' cuts off
consistent
1.4x more

Does Less Of...

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

Whether there's a clear opening hook section
consistent
rarely
Usage of 'that' per 1000 words
consistent
rarely
Whether any emoji are used in the post
consistent
rarely
Variety of different emoji used (unique/total ratio)
consistent
rarely
Whether there's a blank line after the hook
consistent
rarely
Whether the ending includes emoji
consistent
rarely
Whether the hook contains emoji
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you weave hashtags directly into your sentences 9 times more than the average LinkedIn author. Not tacked on at the end, not standing apart - embedded, lowercase, almost camouflaged. It’s like you’re hiding signals in plain sight, threading topics straight into your ideas instead of tagging them afterwards.

That subtlety is a fingerprint. It makes your posts feel less like corporate broadcasts and more like off-the-cuff insights. Try briefing this to a ghostwriter: “Hey, just blend hashtags into the text about 9x more than normal, lowercase, don’t draw attention.” They’d think you were nuts. Because this isn’t a style guide - it’s muscle memory. It’s subconscious. You couldn’t force it even if you tried.

And let’s not forget: you post less than once a week - only 0.1 times weekly over 275 weeks. 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 (Nov 2019 - Feb 2025)

Recent 4 posts since Dec 2023
vs
Earlier 18 posts before Dec 2023
Opening hashtags Stopped (was 17%, now rarely)
Stopped

Style patterns based on 22 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

14 Nov 2019 - 14 Feb 2025

0.1 posts/week avg
22/275 active weeks
253 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs phrased as questions vs statements 2% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include emoji 0% of posts LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 11% TYPICAL VARIES
Whether CTAs include hashtags 9% of posts TYPICAL VARIES
Whether any call-to-action exists 55% of posts TYPICAL STEADY
Emoji Usage
5
Feature Your DNA vs Others Consistency
Emoji count per 1000 words 0% LOW STEADY
Number of different emoji types used ~0.0 LOW STEADY
Total number of emoji in the post ~0.0 LOW STEADY
Variety of different emoji used (unique/total ratio) 0% LOW STEADY
Whether any emoji are used in the post 0% of posts LOW STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 2% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH VARIES
Count of negative contractions used 4% LOW VARIES
Ratio of negative to positive contractions 1:91 LOW VARIES
Usage of negative contractions (don't, won't, can't) 8% LOW VARIES
Count of positive contractions used 46% TYPICAL VARIES
Number of different contraction types 46% TYPICAL VARIES
Total number of contractions 50% TYPICAL VARIES
Variety of different contractions used 31% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 62 HIGH VARIES
Usage of 'by' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'if' per 1000 words 0-30 per 1k words HIGH VARIES
Usage of 'a' per 1000 words 0 - 29 LOW VARIES
Usage of 'as' per 1000 words 0-8 per 1k words LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'for' per 1000 words 0-18 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-16 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-20 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'that' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'with' per 1000 words 0-17 per 1k words LOW VARIES
Variety of function words used 19% LOW STEADY
Overall grammatical word usage 72 - 235 TYPICAL STEADY
Usage of 'and' per 1000 words 0 - 50 TYPICAL VARIES
Usage of 'but' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 30 TYPICAL VARIES
Usage of 'the' per 1000 words 0 - 59 TYPICAL VARIES
Usage of 'to' per 1000 words 0 - 55 TYPICAL VARIES
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 4 - 17 HIGH STEADY
Hashtag density per 100 words 0 - 27 HIGH VARIES
Proportion of all-lowercase hashtags 98% HIGH STEADY
Proportion of hashtags placed at the end 56% HIGH STEADY
Proportion of hashtags woven into the text 34% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 259 HIGH VARIES
Total number of hashtags 0.0 - 6.0 HIGH VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags in the opening 11% LOW VARIES
Proportion of hashtags using CamelCase 2% LOW VARIES
Whether any hashtags are used 59% of posts TYPICAL STEADY
Whether the opening line contains a hashtag 23% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Use of 'you/your' in the hook 3% HIGH VARIES
Whether the hook starts with a conjunction 4% HIGH VARIES
Negation words in the hook 0.0 - 0.4 LOW VARIES
Number of emoji in the hook ~0.0 LOW STEADY
Whether the hook contains emoji 0% of posts 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
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 73 - 267 TYPICAL STEADY
Character position where the hook ends 73 - 267 TYPICAL STEADY
Hook length relative to total post 98% TYPICAL STEADY
Hook lines relative to total lines 98% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 98% TYPICAL STEADY
Whether the hook contains a question 14% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of very short lines (<5 words) 22% HIGH VARIES
Average characters per line 3 - 179 LOW STEADY
Average words per line 0 - 31 LOW VARIES
Number of visual text blocks 1.3 - 3.1 LOW STEADY
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
Variation in block sizes 2% LOW VARIES
Variation in line lengths 0 - 154 LOW VARIES
Average lines per text block 0.9 - 1.1 TYPICAL STEADY
Average spacing between blank lines 75% TYPICAL VARIES
Blank lines per 100 total lines 9 - 49 TYPICAL STEADY
Lines containing exactly one sentence 70% TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 29% TYPICAL STEADY
Spacing between content-rich lines 0.4 - 2.8 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
Ratio of meaningful words to grammatical words 8% HIGH STEADY
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 11 - 37 LOW STEADY
How often three-word phrases repeat 0% LOW STEADY
How often two-word phrases repeat 33% LOW VARIES
Length of longest repeated phrase 18% LOW VARIES
Number of unique words used 11 - 41 LOW STEADY
Percentage of words used only once 95% TYPICAL STEADY
Unique words divided by total words 95% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with discourse markers 0.0-0.8 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.7 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 0 - 38 HIGH VARIES
Sentences starting with subordinate clauses (%) 0 - 54 HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.3 per post LOW VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions 0.0-0.3 per post LOW VARIES
Count of sentences starting with pronouns 0.0-0.7 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Count of sentences starting with adverbs 0.0-0.4 per post TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 1% TYPICAL VARIES
Sentences starting with adverbs (%) 3% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 38 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Character length of the closing 67 - 261 LOW STEADY
Number of emoji in the closing ~0.0 LOW STEADY
Whether the closing has a signature phrase 9% of posts LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending includes emoji 0% of posts LOW STEADY
ALL CAPS words in the closing 2% TYPICAL VARIES
Closing length relative to total post 95% TYPICAL STEADY
Whether the ending has a call-to-action 36% of posts TYPICAL VARIES
Whether the ending includes hashtags 59% of posts TYPICAL STEADY
Whether the ending is a question 14% TYPICAL VARIES
Whether there's a clear closing section 59% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 91% HIGH STEADY
How frequently new paragraphs start 41 - 161 HIGH STEADY
Opening paragraph length vs body average 1% HIGH STEADY
Average change in length between paragraphs 30% LOW VARIES
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 16% LOW VARIES
Length of your longer paragraphs (80th percentile) 0.9 - 2.3 LOW STEADY
Total number of paragraphs 1.3 - 3.1 LOW STEADY
Variation in length changes between paragraphs 11% LOW VARIES
Average sentences per paragraph 0.7 - 2.1 TYPICAL STEADY
Average sentences per paragraph 0.7 - 2.1 TYPICAL STEADY
Consecutive short paragraphs 1.1 - 3.1 TYPICAL STEADY
Typical paragraph length (median) 0.6 - 2.0 TYPICAL STEADY
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 4% 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 6% TYPICAL STEADY
Percentage of words that are nouns 12 - 36 TYPICAL STEADY
Percentage of words that are prepositions 10% TYPICAL STEADY
Percentage of words that are pronouns 2 - 19 TYPICAL STEADY
Percentage of words that are verbs 5 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 1.3 - 8.2 LOW STEADY
Total sentence count 1.1 - 3.2 LOW STEADY
Total syllables in the post 18 - 71 LOW STEADY
Total word count of the post 10 - 46 LOW STEADY
Average word complexity (syllables per word) 1.3 - 1.9 TYPICAL STEADY
How easy the text is to read (higher = easier) 34 - 81 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 27 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Percentage of sentences ending with exclamation 0 - 60 HIGH VARIES
Question marks per 1000 words 0-40 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-10 per 1k words HIGH VARIES
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
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 exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-75 per 1k words TYPICAL VARIES
Comma usage per 1000 words 0-95 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-67 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-32 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-19 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 7% TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Use of story transitions 19% HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 12% LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Whether the post tells a story 23% of posts LOW VARIES
Average length of quoted passages 0 - 68 TYPICAL VARIES
Number of narrative/story signals 0.2 - 1.7 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.1 TYPICAL VARIES
Total characters in quoted content 0 - 104 TYPICAL VARIES
Whether the post contains quotations 46% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Word count of shortest sentence 3 - 18 HIGH STEADY
Variation in clause count across sentences 29% LOW VARIES
Variation in sentence lengths 0.1 - 8.8 LOW STEADY
Average number of clauses per sentence 1.1 - 2.8 TYPICAL STEADY
Average number of words per sentence 8 - 20 TYPICAL STEADY
Average words per sentence 8 - 20 TYPICAL STEADY
How much sentence length varies (normalized) 39% TYPICAL STEADY
How often paragraphs contain just one sentence 70% TYPICAL STEADY
Length of your longer sentences (80th percentile) 11 - 25 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 3 - 18 TYPICAL STEADY
Overall sentence complexity 10 - 48 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-19 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 23% TYPICAL VARIES
Percentage of sentences under 8 words 30% TYPICAL VARIES
Typical sentence length (median) 8 - 20 TYPICAL STEADY
Word count of the longest sentence 11 - 25 TYPICAL STEADY

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