Ilias Tsatalmpasidis MBA MCIM's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 72 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
5x more
See example from 12 Jun 2025
Number of emoji in the opening hook
signature ↑ increasing
8x more
Proportion of hashtags woven into the text
signature
11x more
Proportion of all-lowercase hashtags
consistent
4x more
Percentage of lines containing at least one emoji
consistent ↑ increasing
4x more
Average character length of hashtags
consistent
2x more
Count of neutral/functional emoji
↑ increasing
4x more

Does Less Of...

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

ALL CAPS words in the hook
consistent
3x less
Hook lines relative to total lines
consistent
1.4x less
Closing length relative to total post
1.3x less
Hook length relative to total post
consistent
1.2x less
Where LinkedIn's 'see more' cuts off
consistent
1.2x less
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 11 times more than the average LinkedIn poster. Not just tacked on the end - right there in the flow, lowercase and all, blending in 4x more often than most. It's like you’re turning every statement into its own signal flare, pulsing for attention without breaking stride.

This works because it signals confidence and control - you’re not following the rules, you’re rewriting them while everyone else is still reading the manual. Now try briefing this to a ghostwriter: “Make sure 11 times out of 10, my hashtags are in the body, lowercase, and totally seamless.” They’d give you blank stares. You couldn’t even script this yourself if you tried. It’s muscle memory, not a checklist.

And with less than one post a week, every drop counts. This is exactly what Drumbeat captures - the patterns you can’t explain, but your audience feels. Your company’s message, in each team member’s authentic voice, at scale.

Style Evolution

How your writing has changed (Sep 2022 - Oct 2025)

Recent 21 posts since Dec 2023
vs
Earlier 51 posts before Dec 2023
Emoji usage Increasing (24% → 57%)
More

Style patterns based on 72 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

13 Sep 2022 - 29 Oct 2025

0.4 posts/week avg
56/164 active weeks
108 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 10% HIGH VARIES
Whether CTAs include hashtags 19% of posts HIGH VARIES
Average position of CTAs in the post Upper half TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 14% TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 4% TYPICAL VARIES
Whether CTAs include emoji 10% of posts TYPICAL VARIES
Whether any call-to-action exists 51% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 37% HIGH STEADY
Average number of emoji appearing together in clusters 32% HIGH VARIES
Balance between positive and negative emoji 19% HIGH VARIES
Count of neutral/functional emoji 0.8 - 3.0 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.7 HIGH VARIES
Emoji count relative to sentence count 42% HIGH STEADY
Emoji density in CTA sections 0 - 69 HIGH VARIES
Emoji density in the hook section 6 - 89 HIGH STEADY
Emoji usage in the middle section of the post 0 - 36 HIGH VARIES
Emoji used to replace words entirely 6% HIGH VARIES
Largest group of adjacent emoji 32% HIGH VARIES
Number of different emoji types used 0.0 - 2.5 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 0.8 HIGH VARIES
Number of emoji in the opening hook 0.7 - 3.1 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 7% HIGH VARIES
Percentage of emoji that are neutral/functional 81% HIGH STEADY
Percentage of emoji that are positive/celebratory 19% HIGH VARIES
Percentage of lines containing at least one emoji 32% HIGH STEADY
Proportion of emoji appearing in clusters 8% HIGH VARIES
Variety of different emoji used (unique/total ratio) 34% HIGH VARIES
Whether any emoji are used in the post 35% of posts HIGH VARIES
Whether the post starts with an emoji 16% HIGH VARIES
Average distance between repeated emoji 4% LOW VARIES
Count of negative/warning emoji ~0.0 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
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total count of repeated emoji across the post 0.0 - 0.2 LOW VARIES
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
Emoji count per 1000 words 10% TYPICAL VARIES
Total number of emoji in the post 0.0 - 2.6 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 38% HIGH VARIES
Count of positive contractions used 0.0 - 3.1 HIGH VARIES
Number of different contraction types 0.2 - 3.0 HIGH STEADY
Percentage of words that are contractions 2% HIGH VARIES
Total number of contractions 0.0 - 3.7 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 50% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH VARIES
Variety of different contractions used 65% HIGH STEADY
Ratio of negative to positive contractions 42:1 TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 30 HIGH VARIES
Usage of 'so' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'with' per 1000 words 0 - 30 HIGH VARIES
Usage of 'as' per 1000 words 0-9 per 1k words LOW VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-17 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Overall grammatical word usage 159 - 250 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 34 TYPICAL VARIES
Usage of 'and' per 1000 words 9 - 56 TYPICAL STEADY
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 27 TYPICAL VARIES
Usage of 'if' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 1 - 30 TYPICAL STEADY
Usage of 'on' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 15 - 63 TYPICAL STEADY
Usage of 'to' per 1000 words 7 - 50 TYPICAL STEADY
Usage of 'who' per 1000 words 0-9 per 1k words TYPICAL VARIES
Variety of function words used 42% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 13 HIGH STEADY
Hashtag density per 100 words 0 - 11 HIGH STEADY
Proportion of all-lowercase hashtags 85% HIGH STEADY
Proportion of hashtags placed at the end 44% HIGH STEADY
Proportion of hashtags woven into the text 42% HIGH STEADY
Ratio of inline hashtags to end hashtags 0 - 686 HIGH VARIES
Total number of hashtags 0.8 - 6.9 HIGH STEADY
Whether any hashtags are used 83% of posts HIGH STEADY
Whether the opening line contains a hashtag 32% HIGH VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags in the opening 15% TYPICAL VARIES
Proportion of hashtags using CamelCase 13% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.1 HIGH VARIES
Number of emoji in the hook 0.0 - 1.5 HIGH VARIES
Whether the hook contains a question 28% of posts HIGH VARIES
Whether the hook contains emoji 33% of posts HIGH VARIES
Whether the hook starts with a conjunction 8% HIGH VARIES
Whether there's a blank line after the hook 36% HIGH VARIES
Whether there's a clear opening hook section 44% of posts HIGH VARIES
ALL CAPS words in the hook 1% LOW STEADY
Use of 'you/your' in the hook 1% LOW VARIES
Character count of the hook 138 - 383 TYPICAL STEADY
Character position where the hook ends 138 - 383 TYPICAL STEADY
Hook length relative to total post 59% TYPICAL STEADY
Hook lines relative to total lines 50% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 59% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.7 - 2.8 HIGH STEADY
Blank lines per 100 total lines 22 - 43 HIGH STEADY
Percentage of single-word lines 8% HIGH VARIES
Percentage of very short lines (<5 words) 23% HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 32% HIGH STEADY
Ratio of lines starting with quotes 1% HIGH VARIES
Spacing between content-rich lines 1.3 - 2.0 HIGH STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Average characters per line 51 - 152 TYPICAL STEADY
Average lines per text block 0.6 - 2.6 TYPICAL STEADY
Average words per line 8 - 25 TYPICAL STEADY
Lines containing exactly one sentence 69% TYPICAL STEADY
Number of visual text blocks 1.9 - 5.8 TYPICAL STEADY
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Ratio of lines starting with numbers 1% TYPICAL VARIES
Variation in block sizes 64% TYPICAL VARIES
Variation in line lengths 0 - 491 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 4% LOW VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 1% LOW VARIES
Nesting depth of numbered lists 3% LOW VARIES
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 - 0.1 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 3% of posts LOW VARIES
Whether dash/bullet lists are used 1% of posts LOW VARIES
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 1% of posts LOW VARIES
Use of inline enumeration 1% TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 24% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.2 HIGH VARIES
Count of words used only once 25 - 90 TYPICAL STEADY
How often three-word phrases repeat 83% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.6 TYPICAL VARIES
Length of longest repeated phrase 0.1 - 2.9 TYPICAL STEADY
Number of unique words used 28 - 111 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 -ing verbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.1 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.0 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.8 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.0 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.8 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 6% HIGH VARIES
Sentences starting with And, But, Or, So (%) 7% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 1 - 47 HIGH STEADY
Sentences starting with subordinate clauses (%) 8% HIGH VARIES
Sentences starting with time words (%) 4% HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 56% TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 35% of posts HIGH VARIES
Whether the ending includes hashtags 74% of posts HIGH STEADY
ALL CAPS words in the closing 2% LOW VARIES
Whether the closing has emoji clusters 1% LOW VARIES
Character length of the closing 88 - 438 TYPICAL STEADY
Closing length relative to total post 57% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.8 TYPICAL VARIES
Whether the ending has a call-to-action 35% of posts TYPICAL VARIES
Whether the ending includes emoji 18% of posts TYPICAL VARIES
Whether the ending is a question 22% TYPICAL VARIES
Whether there's a clear closing section 93% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.3 - 2.0 HIGH STEADY
Closing paragraph length vs body average 90% HIGH STEADY
Average sentences per paragraph 1.2 - 2.5 TYPICAL STEADY
Average sentences per paragraph 1.2 - 2.5 TYPICAL STEADY
Consecutive long paragraphs 14% TYPICAL VARIES
Consecutive short paragraphs 1.2 - 4.6 TYPICAL STEADY
How frequently new paragraphs start 18 - 94 TYPICAL STEADY
How much paragraph length varies 0.0 - 2.9 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.5 - 3.8 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.1 - 6.0 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.3 TYPICAL STEADY
Variation in length changes between paragraphs 83% 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 7% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 14 - 27 TYPICAL STEADY
Percentage of words that are prepositions 8 - 13 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 9 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 2 - 30 TYPICAL STEADY
How easy the text is to read (higher = easier) 38 - 71 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 24 TYPICAL STEADY
Total sentence count 2.4 - 9.7 TYPICAL STEADY
Total syllables in the post 33 - 269 TYPICAL STEADY
Total word count of the post 21 - 165 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Percentage of sentences ending with a question 9% HIGH VARIES
Percentage of sentences ending with exclamation 5 - 53 HIGH STEADY
Percentage of sentences trailing off with ellipsis 4% HIGH VARIES
Quotation mark usage per 1000 words 0-22 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-4 per 1k words HIGH VARIES
Colon usage per 1000 words 0-21 per 1k words LOW VARIES
Comma usage per 1000 words 0-45 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
Hyphen usage per 1000 words 0-20 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words 0-1 per 1k words LOW VARIES
Multiple exclamation marks per 1000 words 0-3 per 1k words LOW VARIES
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Ellipsis (...) usage per 1000 words 0-11 per 1k words TYPICAL VARIES
En dash (–) usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-45 per 1k words TYPICAL STEADY
Parentheses usage per 1000 words 0-8 per 1k words TYPICAL VARIES
Question marks per 1000 words 0-21 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 183 HIGH VARIES
Lines starting with quotation marks 1% HIGH VARIES
Number of quotation blocks 0.2 - 2.1 HIGH STEADY
Total characters in quoted content 0 - 345 HIGH VARIES
Whether the post contains quotations 75% of posts HIGH STEADY
Whether the post tells a story 56% of posts HIGH STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 30% TYPICAL STEADY
Number of narrative/story signals 0.7 - 2.6 TYPICAL STEADY
Use of story transitions 8% 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 1.5 - 2.6 TYPICAL STEADY
Average number of words per sentence 10 - 21 TYPICAL STEADY
Average words per sentence 10 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 60% TYPICAL STEADY
How often paragraphs contain just one sentence 50% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 33 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 3 - 13 TYPICAL STEADY
Overall sentence complexity 14 - 53 TYPICAL STEADY
Percentage of sentences over 20 words 26% TYPICAL STEADY
Percentage of sentences under 8 words 25% TYPICAL STEADY
Typical sentence length (median) 8 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.2 TYPICAL VARIES
Variation in sentence lengths 4 - 15 TYPICAL STEADY
Word count of shortest sentence 1 - 10 TYPICAL STEADY
Word count of the longest sentence 14 - 45 TYPICAL STEADY

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