Julia Jones's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 23 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 emoji that appear multiple times
signature
91x more
Number of emoji in call-to-action lines
signature
14x more
How consistently emoji pair with specific words
signature
34x more
Largest group of adjacent emoji
signature
20x more
Average number of emoji appearing together in clusters
signature
20x more
Percentage of lines containing at least one emoji
consistent
4x more
Percentage of emoji that are negative/warning
distinctive
43x more

Does Less Of...

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

Whether CTAs include hashtags
consistent
rarely
Use of 'you/your' in the hook
consistent
4x less
Variation in sentence lengths
1.9x less
Length of your longer sentences (80th percentile)
1.7x less
Average number of words per sentence
1.6x less
Average words per sentence
1.6x less
Word count of the longest sentence
1.6x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts feature clusters of emoji 20 times more densely than the average LinkedIn author - and you consistently pair the same emoji with the same words 34 times more often than most. It's not just that you use a lot of emoji; it's that you deploy them in tight, repeating formations, almost like a signature move embedded in every CTA and punchline.

This pattern works because it creates a visual rhythm and unmistakable identity in your writing - your audience instantly recognizes your posts by the emoji fingerprints alone. Now try briefing this to a ghostwriter: "Pair the same emoji with the same words, in clusters, and do it 20x more than anyone else, but make it feel natural." They'd think you were insane. It's not something you could script or manufacture - you couldn't even replicate it yourself if you tried.

You post less than once a week, but every drop has its own unmistakable DNA. 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 (Jul 2022 - Oct 2025)

Recent 19 posts since Dec 2023
vs
Earlier 4 posts before Dec 2023
Hashtag usage Declining (50% → 21%)
Less
Opening hashtags Stopped (was 25%, now rarely)
Stopped

Style patterns based on 23 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

13 Jul 2022 - 30 Oct 2025

0.1 posts/week avg
13/173 active weeks
160 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 VARIES
Whether CTAs are concentrated at the end of the post 13% HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 6% LOW VARIES
Whether CTAs include emoji 4% of posts LOW VARIES
Whether CTAs include hashtags 0% of posts LOW STEADY
CTAs phrased as questions vs statements 4% TYPICAL VARIES
Whether any call-to-action exists 65% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 50% HIGH STEADY
Average number of emoji appearing together in clusters 0.0 - 3.6 HIGH VARIES
Balance between positive and negative emoji 25% HIGH VARIES
Count of negative/warning emoji 0.0 - 1.2 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 3.6 HIGH VARIES
Emoji count relative to sentence count 20% HIGH STEADY
Emoji density in CTA sections 13 - 98 HIGH STEADY
Emoji used to replace words entirely 25% HIGH VARIES
How consistently emoji pair with specific words 20% HIGH VARIES
How often the same emoji repeats across the post 25% HIGH VARIES
Largest group of adjacent emoji 0.0 - 3.6 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 1.2 HIGH VARIES
Number of emoji in call-to-action lines 0.4 - 4.6 HIGH STEADY
Number of emoji in the opening hook 0.0 - 1.2 HIGH VARIES
Percentage of emoji that are negative/warning 12% HIGH VARIES
Percentage of emoji that are neutral/functional 50% HIGH VARIES
Percentage of emoji that are positive/celebratory 38% HIGH VARIES
Percentage of lines containing at least one emoji 33% HIGH STEADY
Proportion of emoji appearing in clusters 38% HIGH VARIES
Proportion of emoji that appear multiple times 50% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.4 HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Emoji count per 1000 words 3% LOW VARIES
Emoji usage in the middle section of the post 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
Number of different emoji types used 0.0 - 0.6 LOW VARIES
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Total number of emoji in the post 0.0 - 1.1 LOW VARIES
Variety of different emoji used (unique/total ratio) 6% LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether any emoji are used in the post 9% 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
Count of neutral/functional emoji 0.0 - 1.2 TYPICAL VARIES
Emoji density in the hook section 0 - 25 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Count of positive contractions used 30% LOW VARIES
Total number of contractions 44% LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Count of negative contractions used 13% TYPICAL VARIES
Number of different contraction types 44% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Ratio of negative to positive contractions 43:1 TYPICAL VARIES
Variety of different contractions used 35% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-6 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'is' per 1000 words 0 - 52 HIGH VARIES
Usage of 'so' per 1000 words 0-25 per 1k words HIGH VARIES
Usage of 'as' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'at' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'with' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 92 - 260 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 52 TYPICAL VARIES
Usage of 'and' per 1000 words 0 - 49 TYPICAL VARIES
Usage of 'by' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 27 TYPICAL VARIES
Usage of 'if' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'that' per 1000 words 0-27 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 2 - 56 TYPICAL STEADY
Usage of 'to' per 1000 words 0 - 69 TYPICAL VARIES
Usage of 'which' per 1000 words 0-2 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-6 per 1k words TYPICAL VARIES
Variety of function words used 32% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 11 - 14 HIGH STEADY
Proportion of hashtags placed at the end 83% HIGH STEADY
Proportion of hashtags using CamelCase 67% HIGH STEADY
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Whether any hashtags are used 26% of posts LOW VARIES
Hashtag density per 100 words 0 - 12 TYPICAL VARIES
Proportion of all-lowercase hashtags 33% TYPICAL VARIES
Proportion of hashtags in the opening 17% TYPICAL VARIES
Total number of hashtags 0.0 - 3.4 TYPICAL VARIES
Whether the opening line contains a hashtag 17% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook starts with a conjunction 9% HIGH VARIES
ALL CAPS words in the hook 1% LOW VARIES
Number of emoji in the hook 0.0 - 0.3 LOW VARIES
Use of 'you/your' in the hook 0% LOW STEADY
Whether the hook contains emoji 4% of posts LOW VARIES
Character count of the hook 42 - 330 TYPICAL STEADY
Character position where the hook ends 42 - 330 TYPICAL STEADY
Hook length relative to total post 72% TYPICAL STEADY
Hook lines relative to total lines 74% TYPICAL STEADY
Negation words in the hook 0.0 - 1.1 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 72% TYPICAL STEADY
Whether the hook contains a question 13% of posts TYPICAL VARIES
Whether there's a blank line after the hook 22% TYPICAL VARIES
Whether there's a clear opening hook section 35% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of single-word lines 0% 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 block sizes 4% LOW VARIES
Average characters per line 23 - 181 TYPICAL STEADY
Average lines per text block 0.8 - 1.5 TYPICAL STEADY
Average spacing between blank lines 97% TYPICAL VARIES
Average words per line 3 - 33 TYPICAL STEADY
Blank lines per 100 total lines 4 - 46 TYPICAL STEADY
Lines containing exactly one sentence 48% TYPICAL STEADY
Number of visual text blocks 0.8 - 6.0 TYPICAL STEADY
Percentage of very short lines (<5 words) 10% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 25% TYPICAL STEADY
Ratio of lines starting with punctuation 4% TYPICAL VARIES
Spacing between content-rich lines 0.5 - 2.2 TYPICAL STEADY
Variation in line lengths 0 - 518 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
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 - 0.3 LOW VARIES
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 4% 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
Average items per dash/bullet list 13% TYPICAL VARIES
Whether dash/bullet lists are used 4% of posts TYPICAL VARIES
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 60% LOW VARIES
Count of words used only once 7 - 74 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 9.0 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 3.0 TYPICAL VARIES
Number of unique words used 5 - 99 TYPICAL STEADY
Percentage of words used only once 87% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 83% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-1.6 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.1 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-1.4 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.1 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.4 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.9 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 9% HIGH VARIES
Sentences starting with And, But, Or, So (%) 6% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 44 HIGH VARIES
Sentences starting with subordinate clauses (%) 8% HIGH VARIES
Sentences starting with time words (%) 1% 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
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has emoji clusters 4% HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Whether the closing has a signature phrase 9% of posts LOW VARIES
Whether the ending has a call-to-action 13% of posts LOW VARIES
Whether the ending includes emoji 9% of posts LOW VARIES
Whether the ending includes hashtags 26% of posts LOW VARIES
Character length of the closing 0 - 509 TYPICAL VARIES
Closing length relative to total post 78% TYPICAL STEADY
Number of emoji in the closing 0.0 - 1.1 TYPICAL VARIES
Whether the ending is a question 13% TYPICAL VARIES
Whether there's a clear closing section 48% of posts TYPICAL VARIES
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Average change in length between paragraphs 98% TYPICAL VARIES
Average sentences per paragraph 1.1 - 3.0 TYPICAL STEADY
Average sentences per paragraph 1.1 - 3.0 TYPICAL STEADY
Consecutive long paragraphs 17% TYPICAL VARIES
Consecutive short paragraphs 0.7 - 3.4 TYPICAL STEADY
How frequently new paragraphs start 26 - 161 TYPICAL STEADY
How much paragraph length varies 0.0 - 3.4 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.1 - 4.2 TYPICAL STEADY
Opening paragraph length vs body average 96% TYPICAL STEADY
Total number of paragraphs 1.0 - 6.0 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.9 TYPICAL STEADY
Variation in length changes between paragraphs 0.0 - 2.8 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 STEADY
Percentage of words that are adjectives 0 - 20 TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL VARIES
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 12 - 37 TYPICAL STEADY
Percentage of words that are prepositions 7% TYPICAL STEADY
Percentage of words that are pronouns 3 - 18 TYPICAL STEADY
Percentage of words that are verbs 5 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.2 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 21 TYPICAL VARIES
How easy the text is to read (higher = easier) 47 - 95 TYPICAL STEADY
Percentage of complex words (3+ syllables) 4 - 21 TYPICAL STEADY
Total sentence count 1 - 14 TYPICAL STEADY
Total syllables in the post 0 - 227 TYPICAL VARIES
Total word count of the post 0 - 151 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Colon usage per 1000 words 0-98 per 1k words HIGH VARIES
Ellipsis (...) usage per 1000 words 0-35 per 1k words HIGH VARIES
Em dash (—) usage per 1000 words 0-12 per 1k words HIGH VARIES
Hyphen usage per 1000 words 0-127 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 7% HIGH VARIES
Semicolon usage per 1000 words 0-23 per 1k words HIGH VARIES
Comma usage per 1000 words 0-49 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 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 ending with exclamation 9% LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-48 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-13 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 5% TYPICAL VARIES
Question marks per 1000 words 0-27 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 31 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 31 LOW VARIES
Use of story transitions 2% LOW VARIES
Whether the post tells a story 17% of posts LOW VARIES
Lines using past tense 32% TYPICAL VARIES
Number of narrative/story signals 0.0 - 1.8 TYPICAL VARIES
Number of quotation blocks 0.0 - 1.0 TYPICAL VARIES
Whether the post contains quotations 35% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-20 per 1k words HIGH VARIES
Percentage of sentences under 8 words 57% HIGH STEADY
Average number of words per sentence 3 - 15 LOW STEADY
Average words per sentence 3 - 15 LOW STEADY
Length of your longer sentences (80th percentile) 5 - 21 LOW STEADY
Overall sentence complexity 0 - 36 LOW VARIES
Percentage of sentences over 20 words 9% LOW VARIES
Typical sentence length (median) 3 - 15 LOW STEADY
Variation in clause count across sentences 79% LOW STEADY
Variation in sentence lengths 1.0 - 7.3 LOW STEADY
Word count of shortest sentence 0.8 - 7.4 LOW STEADY
Word count of the longest sentence 5 - 28 LOW STEADY
Average number of clauses per sentence 1.3 - 2.2 TYPICAL STEADY
How much sentence length varies (normalized) 46% TYPICAL STEADY
How often paragraphs contain just one sentence 45% TYPICAL STEADY
Length of your shorter sentences (20th percentile) 1.4 - 9.6 TYPICAL STEADY

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