Natalie Johnson-Goss's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 6 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 09 Dec 2025
Balance between positive and negative emoji
signature
23x more
Percentage of lines containing at least one emoji
signature
12x more
Average emoji per line of text
signature
9x more
Proportion of hashtags placed at the end
signature
4x more
Count of positive/celebratory emoji
signature
8x more
Number of emoji in call-to-action lines
signature
6x more

Does Less Of...

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

Colon usage per 1000 words
consistent
rarely
Whether the opening line contains a hashtag
consistent
rarely
Proportion of hashtags in the opening
consistent
rarely
Whether there's a blank line after the hook
consistent
rarely
Percentage of emoji that are neutral/functional
consistent
rarely
Parenthetical breaks per 1000 words
consistent
rarely
Usage of 'as' 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 21 times more of your emojis are positive or celebratory than the average person’s. It’s not just that you use emojis - it’s that you instinctively flood your posts with the kind of energy that makes people want to celebrate with you. In fact, a staggering 12 times more of your lines contain at least one emoji, and your balance between positive and negative emoji is 23 times the norm. You’re not just sprinkling cheer - you’re practically confetti-bombing your audience.

That’s not something you can reverse-engineer. Try briefing a ghostwriter to “make sure 21x more of your emojis are positive, and get the emoji-per-line ratio up to 9x normal.” They’d stare at you like you’d lost your mind. There’s no style guide for this. It’s not conscious. This is your AuthorDNA leaking out in every line - impossible to fake, impossible to replicate, even if you wanted to.

Given your ultra-rare posting schedule - less than once a week over 148 weeks - every post counts, and every post crackles with unmistakable Natalie-ness. 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

04 Apr 2022 - 30 Jan 2025

0 posts/week avg
6/148 active weeks
142 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 using command verbs (Click, Share, Comment, etc.) 17% HIGH VARIES
CTAs phrased as questions vs statements 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 CTAs include hashtags 0% of posts LOW STEADY
Whether any call-to-action exists 67% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 100% 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 50% HIGH STEADY
Emoji density in CTA sections 50 HIGH STEADY
Emoji density in the hook section 50 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 100% 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 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 - 0.6 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 - 0.6 LOW VARIES
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 8% TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 17% TYPICAL VARIES
Whether any emoji are used in the post 17% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 1% HIGH VARIES
Ratio of negative to positive contractions 166:1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 83% HIGH VARIES
Count of negative contractions used 17% TYPICAL VARIES
Count of positive contractions used 67% TYPICAL VARIES
Number of different contraction types 83% TYPICAL VARIES
Total number of contractions 83% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 56% TYPICAL VARIES
Variety of different contractions used 33% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'for' per 1000 words 0 - 42 HIGH VARIES
Usage of 'if' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'so' per 1000 words 0-11 per 1k words HIGH VARIES
Usage of 'the' per 1000 words 28 - 76 HIGH STEADY
Usage of 'as' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'at' per 1000 words 0-6 per 1k words LOW VARIES
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 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'with' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 164 - 260 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 44 TYPICAL STEADY
Usage of 'and' per 1000 words 3 - 41 TYPICAL STEADY
Usage of 'is' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'of' per 1000 words 5 - 38 TYPICAL STEADY
Usage of 'on' per 1000 words 1-15 per 1k words TYPICAL STEADY
Usage of 'that' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 11 - 53 TYPICAL STEADY
Usage of 'who' per 1000 words 0-6 per 1k words TYPICAL VARIES
Variety of function words used 41% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 12 - 18 HIGH STEADY
Proportion of all-lowercase hashtags 75% HIGH STEADY
Proportion of hashtags placed at the end 100% HIGH STEADY
Proportion of hashtags using CamelCase 25% HIGH VARIES
Total number of hashtags 0.9 - 4.4 HIGH STEADY
Whether any hashtags are used 83% of posts HIGH STEADY
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags in the opening 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Whether the opening line contains a hashtag 0% LOW STEADY
Hashtag density per 100 words 1.1 - 5.8 TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.1 - 1.6 HIGH STEADY
Whether the hook contains a question 50% of posts HIGH VARIES
ALL CAPS words in the hook 1% 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 17% of posts LOW VARIES
Character count of the hook 194 - 358 TYPICAL STEADY
Character position where the hook ends 194 - 358 TYPICAL STEADY
Hook length relative to total post 72% TYPICAL STEADY
Hook lines relative to total lines 66% TYPICAL STEADY
Number of emoji in the hook 0.0 - 0.6 TYPICAL VARIES
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 72% TYPICAL STEADY
Whether the hook contains emoji 17% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.9 - 2.5 HIGH STEADY
Blank lines per 100 total lines 19 - 54 HIGH STEADY
Percentage of very short lines (<5 words) 24% HIGH STEADY
Proportion of blank space 36% HIGH STEADY
Spacing between content-rich lines 0.9 - 2.5 HIGH STEADY
Percentage of single-word lines 0% 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 0% LOW STEADY
Average characters per line 78 - 142 TYPICAL STEADY
Average lines per text block 100% TYPICAL STEADY
Average words per line 13 - 23 TYPICAL STEADY
Lines containing exactly one sentence 58% TYPICAL STEADY
Number of visual text blocks 2.3 - 5.7 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Variation in line lengths 36 - 261 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 3% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.6 HIGH VARIES
Count of words used only once 29 - 61 TYPICAL STEADY
How often three-word phrases repeat 95% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.0 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.8 TYPICAL VARIES
Number of unique words used 32 - 78 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 81% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with conjunctions 0.0-0.6 per post HIGH VARIES
Count of sentences starting with pronouns 0.2-2.1 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.0 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.6 per post HIGH VARIES
Sentences starting with And, But, Or, So (%) 4% HIGH VARIES
Sentences starting with subordinate clauses (%) 8% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Count of sentences starting with -ing verbs ~0.0 per post LOW STEADY
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 (%) 0% LOW STEADY
Count of sentences starting with adverbs 0.0-0.6 per post TYPICAL VARIES
Count of sentences starting with discourse markers ~0.0 per post TYPICAL STEADY
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with adverbs (%) 3% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 7 - 29 TYPICAL STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending includes hashtags 83% of posts HIGH STEADY
ALL CAPS words in the closing 1% LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Character length of the closing 174 - 398 TYPICAL STEADY
Closing length relative to total post 74% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.6 TYPICAL VARIES
Whether the closing has a signature phrase 17% of posts TYPICAL VARIES
Whether the ending has a call-to-action 33% of posts TYPICAL VARIES
Whether the ending includes emoji 17% of posts TYPICAL VARIES
Whether the ending is a question 17% TYPICAL VARIES
Whether there's a clear closing section 83% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 74% LOW VARIES
Average change in length between paragraphs 79% TYPICAL STEADY
Average sentences per paragraph 1.2 - 1.9 TYPICAL STEADY
Average sentences per paragraph 1.2 - 1.9 TYPICAL STEADY
Closing paragraph length vs body average 68% TYPICAL STEADY
Consecutive short paragraphs 1.6 - 5.4 TYPICAL STEADY
How frequently new paragraphs start 42 - 73 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.3 - 3.4 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.3 - 5.7 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 1.7 TYPICAL STEADY
Variation in length changes between paragraphs 79% 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 7% TYPICAL STEADY
Percentage of words that are adjectives 7% 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 17 - 23 TYPICAL STEADY
Percentage of words that are prepositions 7 - 14 TYPICAL STEADY
Percentage of words that are pronouns 6 - 16 TYPICAL STEADY
Percentage of words that are verbs 12 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 5 - 16 TYPICAL STEADY
How easy the text is to read (higher = easier) 54 - 65 TYPICAL STEADY
Percentage of complex words (3+ syllables) 12 - 19 TYPICAL STEADY
Total sentence count 3.2 - 8.2 TYPICAL STEADY
Total syllables in the post 59 - 165 TYPICAL STEADY
Total word count of the post 36 - 106 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-33 per 1k words HIGH VARIES
Percentage of sentences ending with a question 10% HIGH VARIES
Colon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 4-38 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
Exclamation marks per 1000 words 0-23 per 1k words LOW VARIES
Hyphen usage per 1000 words 0-10 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 per 1k words LOW STEADY
Percentage of sentences ending with exclamation 10% LOW VARIES
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Question marks per 1000 words 0-15 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.8 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 80 LOW VARIES
Average length of quoted passages 0 - 80 TYPICAL VARIES
Lines using past tense 55% TYPICAL STEADY
Number of narrative/story signals 1.0 - 2.0 TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Whether the post contains quotations 33% of posts TYPICAL VARIES
Whether the post tells a story 50% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your shorter sentences (20th percentile) 2.8 - 7.8 LOW STEADY
Parenthetical breaks per 1000 words ~0 per 1k words LOW STEADY
Percentage of sentences over 20 words 14% LOW VARIES
Word count of shortest sentence 1.2 - 6.1 LOW STEADY
Average number of clauses per sentence 1.3 - 2.4 TYPICAL STEADY
Average number of words per sentence 10 - 16 TYPICAL STEADY
Average words per sentence 10 - 16 TYPICAL STEADY
How much sentence length varies (normalized) 60% TYPICAL STEADY
How often paragraphs contain just one sentence 58% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 26 TYPICAL STEADY
Overall sentence complexity 13 - 37 TYPICAL STEADY
Percentage of sentences under 8 words 26% TYPICAL STEADY
Typical sentence length (median) 9 - 17 TYPICAL STEADY
Variation in clause count across sentences 0.3 - 2.3 TYPICAL STEADY
Variation in sentence lengths 4 - 12 TYPICAL STEADY
Word count of the longest sentence 14 - 34 TYPICAL STEADY

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