Irene Sandler'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
6x more
See example from 09 Dec 2025
Variety of different emoji used as bullets
signature
39x more
Emoji used to replace words entirely
signature
12x more
Whether emoji are used as bullet point markers
distinctive
16x more
How consistently the same emoji is used for bullets
distinctive
15x more
Count of neutral/functional emoji
6x more
Whether the post contains quotations
consistent
2x more
See example from 09 Dec 2025

Does Less Of...

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

Whether CTAs include hashtags
consistent
rarely
Typical paragraph length (median)
consistent
1.4x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you use emoji as bullet points 16 times more than the average LinkedIn poster - and you don’t just sprinkle them in. You’ve adopted 39 times more unique emoji as bullets than most, and you’re 15 times more consistent in reusing the same ones. It’s not just flair - it’s a full-on visual language that quietly takes over your posts, with emoji sometimes replacing words entirely (12x more than average). You’re basically running a covert iconography operation in plain sight.

Why does this work? Readers instantly recognize your posts in the feed - they know it’s you before they even read a word. You’ve built a visual fingerprint no algorithm can teach. Now try briefing this to a ghostwriter: “Hey, use emoji as bullets, but not too many, and always the same ones, but also switch it up 39x more than normal.” They’d stare at you blankly. This isn’t style - it’s reflex. You couldn’t reverse-engineer it if you tried.

You post less than once a week, but when you do, your audience knows it’s you by the second line. That’s 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

12 Dec 2024 - 09 Dec 2025

0.8 posts/week avg
28/53 active weeks
25 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 10% HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Whether CTAs include emoji 2% of posts LOW VARIES
Whether CTAs include hashtags 0% of posts LOW STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 7% TYPICAL VARIES
Whether any call-to-action exists 54% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 32% HIGH STEADY
Average number of emoji appearing together in clusters 27% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.6 HIGH VARIES
Count of neutral/functional emoji 0.5 - 5.0 HIGH STEADY
Emoji count relative to sentence count 32% HIGH STEADY
Emoji density in CTA sections 0 - 144 HIGH VARIES
Emoji density in the hook section 0 - 54 HIGH VARIES
Emoji usage in the middle section of the post 0 - 40 HIGH VARIES
Emoji used to replace words entirely 45% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How consistently the same emoji is used for bullets 32% HIGH VARIES
How often the same emoji repeats across the post 4% HIGH VARIES
Largest group of adjacent emoji 27% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 1.1 HIGH VARIES
Number of different emoji types used 0.0 - 2.5 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.4 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.8 HIGH VARIES
Number of emoji in the opening hook 0.0 - 1.5 HIGH VARIES
Percentage of emoji that are negative/warning 6% HIGH VARIES
Percentage of emoji that are neutral/functional 94% HIGH STEADY
Percentage of lines containing at least one emoji 25% HIGH STEADY
Percentage of lines that contain only emoji 3% HIGH VARIES
Proportion of emoji appearing in clusters 9% HIGH VARIES
Variety of different emoji used as bullets 36% HIGH VARIES
Whether emoji are used as bullet point markers 36% HIGH VARIES
Balance between positive and negative emoji -6% LOW VARIES
Count of positive/celebratory emoji ~0.0 LOW STEADY
Percentage of emoji that are positive/celebratory 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total count of repeated emoji across the post 0.0 - 0.4 LOW VARIES
Whether the post starts with an emoji 0% LOW STEADY
Average distance between repeated emoji 9% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 8% TYPICAL VARIES
Percentage of emoji that are 'corpspeak' type 1% TYPICAL VARIES
Total number of emoji in the post 0.0 - 2.5 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 26% TYPICAL VARIES
Whether any emoji are used in the post 27% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 80% HIGH VARIES
Count of positive contractions used 0.1 - 3.8 HIGH STEADY
Number of different contraction types 0.3 - 4.1 HIGH STEADY
Percentage of words that are contractions 3% HIGH STEADY
Ratio of negative to positive contractions 49:1 HIGH VARIES
Total number of contractions 0.2 - 5.3 HIGH STEADY
Usage of negative contractions (don't, won't, can't) 68% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH STEADY
Variety of different contractions used 69% HIGH STEADY
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-13 per 1k words HIGH VARIES
Usage of 'of' per 1000 words 0 - 52 HIGH STEADY
Usage of 'if' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 179 - 247 TYPICAL STEADY
Usage of 'a' per 1000 words 2 - 38 TYPICAL STEADY
Usage of 'and' per 1000 words 3 - 39 TYPICAL STEADY
Usage of 'as' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 22 TYPICAL STEADY
Usage of 'is' per 1000 words 0 - 22 TYPICAL VARIES
Usage of 'on' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 24 - 67 TYPICAL STEADY
Usage of 'to' per 1000 words 7 - 49 TYPICAL STEADY
Usage of 'which' per 1000 words 0-2 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-28 per 1k words TYPICAL VARIES
Variety of function words used 48% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 5 - 12 HIGH STEADY
Proportion of all-lowercase hashtags 69% HIGH STEADY
Proportion of hashtags in ALL CAPS 6% HIGH VARIES
Proportion of hashtags in the opening 38% HIGH VARIES
Proportion of hashtags placed at the end 62% HIGH STEADY
Proportion of hashtags using CamelCase 25% HIGH VARIES
Whether the opening line contains a hashtag 38% HIGH VARIES
Hashtag density per 100 words 30% LOW VARIES
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 0.9 LOW VARIES
Whether any hashtags are used 20% of posts LOW VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.6 HIGH VARIES
Whether the hook starts with a conjunction 2% HIGH VARIES
Whether there's a blank line after the hook 34% HIGH VARIES
Whether there's a clear opening hook section 46% of posts HIGH VARIES
ALL CAPS words in the hook 1% LOW VARIES
Number of emoji in the hook 0.0 - 0.6 LOW VARIES
Whether the hook contains emoji 7% of posts LOW VARIES
Character count of the hook 157 - 350 TYPICAL STEADY
Character position where the hook ends 157 - 350 TYPICAL STEADY
Hook length relative to total post 58% TYPICAL STEADY
Hook lines relative to total lines 53% TYPICAL STEADY
Use of 'you/your' in the hook 1% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 58% TYPICAL STEADY
Whether the hook contains a question 22% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.9 - 2.8 HIGH STEADY
Blank lines per 100 total lines 31 - 47 HIGH STEADY
Percentage of single-word lines 4% HIGH VARIES
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 39% HIGH STEADY
Ratio of lines starting with numbers 4% HIGH VARIES
Ratio of lines starting with quotes 4% HIGH VARIES
Spacing between content-rich lines 1.5 - 2.2 HIGH STEADY
Average characters per line 62 - 139 TYPICAL STEADY
Average lines per text block 0.9 - 1.5 TYPICAL STEADY
Average words per line 10 - 23 TYPICAL STEADY
Lines containing exactly one sentence 66% TYPICAL STEADY
Number of visual text blocks 2.2 - 9.0 TYPICAL STEADY
Percentage of very short lines (<5 words) 18% TYPICAL VARIES
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Ratio of lines starting with punctuation 3% TYPICAL VARIES
Variation in block sizes 53% TYPICAL VARIES
Variation in line lengths 21 - 319 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 27% HIGH VARIES
Consistency of numbered list formatting 12% HIGH VARIES
Nesting depth of numbered lists 39% HIGH VARIES
Number of numbered list sections 0.0 - 0.5 HIGH VARIES
Use of inline enumeration 3% HIGH VARIES
Whether any list structure is used 17% of posts HIGH VARIES
Whether numbered lists are used 12% of posts HIGH VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Number of emoji bullet list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Whether dash/bullet lists are used 5% 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
Count of words used only once 28 - 106 TYPICAL STEADY
How often three-word phrases repeat 0.0 - 3.1 TYPICAL VARIES
How often two-word phrases repeat 0.0 - 7.6 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 3.5 TYPICAL VARIES
Number of unique words used 30 - 133 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 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-2.2 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-1.1 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.5 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.8 per post HIGH VARIES
Count of sentences starting with time words 0.0-1.4 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 4% HIGH VARIES
Sentences starting with And, But, Or, So (%) 6% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 3% HIGH 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 (%) 1% LOW VARIES
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 34 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 2% LOW VARIES
Whether the ending has a call-to-action 12% of posts LOW VARIES
Whether the ending includes hashtags 15% of posts LOW VARIES
Whether the ending is a question 7% LOW VARIES
Character length of the closing 126 - 450 TYPICAL STEADY
Closing length relative to total post 60% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.9 TYPICAL VARIES
Whether the closing has a signature phrase 15% of posts TYPICAL VARIES
Whether the closing has emoji clusters 2% TYPICAL VARIES
Whether the ending includes emoji 20% of posts TYPICAL VARIES
Whether there's a clear closing section 76% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 86% HIGH STEADY
Consecutive long paragraphs 27% HIGH VARIES
Average change in length between paragraphs 91% TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.1 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.1 TYPICAL STEADY
Consecutive short paragraphs 1.4 - 6.2 TYPICAL STEADY
How frequently new paragraphs start 36 - 80 TYPICAL STEADY
How much paragraph length varies 0.0 - 2.2 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.1 - 3.5 TYPICAL STEADY
Opening paragraph length vs body average 82% TYPICAL STEADY
Total number of paragraphs 2.2 - 9.0 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 1.9 TYPICAL STEADY
Variation in length changes between paragraphs 94% 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 5% TYPICAL STEADY
Percentage of words that are adjectives 9% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 8% TYPICAL STEADY
Percentage of words that are nouns 17 - 29 TYPICAL STEADY
Percentage of words that are prepositions 7 - 16 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 9 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 31 TYPICAL STEADY
How easy the text is to read (higher = easier) 49 - 74 TYPICAL STEADY
Percentage of complex words (3+ syllables) 9 - 19 TYPICAL STEADY
Total sentence count 2 - 15 TYPICAL STEADY
Total syllables in the post 40 - 309 TYPICAL STEADY
Total word count of the post 26 - 195 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Em dash (—) usage per 1000 words 0-10 per 1k words HIGH VARIES
Hyphen usage per 1000 words 2-40 per 1k words HIGH STEADY
Parentheses usage per 1000 words 0-16 per 1k words HIGH VARIES
Quotation mark usage per 1000 words 0-73 per 1k words HIGH VARIES
Ellipsis (...) 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 0-16 per 1k words LOW VARIES
Multiple exclamation marks per 1000 words 0-2 per 1k words LOW VARIES
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Percentage of sentences ending with exclamation 6% LOW VARIES
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Colon usage per 1000 words 0-50 per 1k words TYPICAL VARIES
Comma usage per 1000 words 15-76 per 1k words TYPICAL STEADY
Mixed punctuation clusters per 1000 words 0-1 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 6% TYPICAL VARIES
Question marks per 1000 words 0-16 per 1k words TYPICAL VARIES
Semicolon usage per 1000 words 0-2 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 7 - 194 HIGH STEADY
Lines starting with quotation marks 4% HIGH VARIES
Number of quotation blocks 0.4 - 2.8 HIGH STEADY
Presence of dialogue attribution patterns 1% HIGH STEADY
Total characters in quoted content 0 - 428 HIGH VARIES
Whether the post contains quotations 88% of posts HIGH STEADY
Whether the post tells a story 63% of posts HIGH STEADY
Lines using past tense 36% TYPICAL STEADY
Number of narrative/story signals 1.0 - 2.5 TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0 - 23 HIGH VARIES
Average number of clauses per sentence 1.5 - 2.6 TYPICAL STEADY
Average number of words per sentence 9 - 20 TYPICAL STEADY
Average words per sentence 9 - 20 TYPICAL STEADY
How much sentence length varies (normalized) 70% TYPICAL STEADY
How often paragraphs contain just one sentence 64% TYPICAL STEADY
Length of your longer sentences (80th percentile) 13 - 33 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 12 TYPICAL STEADY
Overall sentence complexity 13 - 52 TYPICAL STEADY
Percentage of sentences over 20 words 25% TYPICAL STEADY
Percentage of sentences under 8 words 35% TYPICAL STEADY
Typical sentence length (median) 7 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.3 TYPICAL VARIES
Variation in sentence lengths 4 - 16 TYPICAL STEADY
Word count of shortest sentence 0 - 10 TYPICAL STEADY
Word count of the longest sentence 19 - 45 TYPICAL STEADY

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