Devrim Celal's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 79 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

Number of emoji in the opening hook
signature ↑ increasing
22x more
Emoji count relative to sentence count
signature ↑ increasing
26x more
Count of neutral/functional emoji
signature ↑ increasing
19x more
Number of emoji clusters (groups of adjacent emoji)
signature ↑ increasing
45x more
Number of emoji in the hook
signature
19x more
Largest group of adjacent emoji
signature ↑ increasing
25x more
Total number of emoji in the post
signature ↑ increasing
14x more
See example from 30 Nov 2025

Does Less Of...

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

Use of 'you/your' in the hook
consistent
6x less
Closing length relative to total post
1.6x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you pack your opening hooks with emoji at a rate 22 times higher than the average LinkedIn writer. Not just a sprinkle, either - you cluster them together 45 times more often than most, creating bursts of visual signals that hit your audience before a single word lands. The numbers don't lie: your hooks are less about "Hi there" and more like a fireworks display.

Here's why it works: those emoji clusters force your readers to stop scrolling and pay attention, like road flares in the feed. It signals energy, presence, and a willingness to break the monotony. Now try briefing this to a ghostwriter: "Open every post with 19x more emoji than anyone else, but don't use 'you' or 'your' in the hook." They'd think you're joking. You couldn't copy-paste this if you tried - it's muscle memory, not a template.

And with just 0.4 posts per week, each one has to stand out. 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 (Oct 2021 - Nov 2025)

Recent 38 posts since Dec 2023
vs
Earlier 41 posts before Dec 2023
Emoji usage Increasing (59% → 97%)
More

Style patterns based on 79 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

26 Oct 2021 - 30 Nov 2025

0.4 posts/week avg
57/214 active weeks
157 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
Whether CTAs are concentrated at the end of the post 23% HIGH VARIES
Whether CTAs include emoji 25% of posts HIGH VARIES
CTAs phrased as questions vs statements 1% LOW STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 3% LOW VARIES
Whether CTAs include hashtags 13% of posts TYPICAL VARIES
Whether any call-to-action exists 72% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 62% HIGH VARIES
Average emoji per line of text 0.4 - 2.4 HIGH STEADY
Average number of emoji appearing together in clusters 0.4 - 3.2 HIGH STEADY
Balance between positive and negative emoji 17% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.6 HIGH VARIES
Count of neutral/functional emoji 1 - 17 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 4.1 HIGH VARIES
Emoji count per 1000 words 0 - 197 HIGH VARIES
Emoji count relative to sentence count 2% HIGH VARIES
Emoji density in CTA sections 0 - 174 HIGH VARIES
Emoji density in the hook section 13 - 293 HIGH STEADY
Emoji usage in the middle section of the post 0 - 197 HIGH VARIES
Emoji used to replace words entirely 27% HIGH STEADY
How consistently emoji pair with specific words 13% HIGH VARIES
How consistently the same emoji is used for bullets 20% HIGH VARIES
How often the same emoji repeats across the post 25% HIGH STEADY
Largest group of adjacent emoji 0.4 - 3.4 HIGH STEADY
Number of bullet point lines using emoji as markers 0.0 - 2.9 HIGH VARIES
Number of different emoji types used 1 - 10 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.0 - 3.8 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 3.6 HIGH VARIES
Number of emoji in the opening hook 1.5 - 8.9 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 7% HIGH VARIES
Percentage of emoji that are neutral/functional 82% HIGH STEADY
Percentage of emoji that are positive/celebratory 18% HIGH VARIES
Percentage of lines containing at least one emoji 60% HIGH STEADY
Percentage of lines that contain only emoji 1% HIGH STEADY
Proportion of emoji appearing in clusters 36% HIGH STEADY
Proportion of emoji that appear multiple times 27% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 9.2 HIGH VARIES
Total number of emoji in the post 0 - 17 HIGH VARIES
Variety of different emoji used (unique/total ratio) 58% HIGH STEADY
Variety of different emoji used as bullets 7% HIGH VARIES
Whether any emoji are used in the post 78% of posts HIGH STEADY
Whether emoji are used as bullet point markers 21% HIGH VARIES
Whether the post starts with an emoji 42% HIGH VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Percentage of emoji that are negative/warning 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 4% LOW VARIES
Count of positive contractions used 16% LOW VARIES
Number of different contraction types 18% LOW VARIES
Percentage of words that are contractions 20% LOW VARIES
Total number of contractions 20% LOW VARIES
Usage of negative contractions (don't, won't, can't) 3% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 16% LOW VARIES
Variety of different contractions used 14% LOW VARIES
Ratio of negative to positive contractions 38:1 TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'by' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-0 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-19 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-10 per 1k words LOW VARIES
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words 0-6 per 1k words LOW VARIES
Overall grammatical word usage 148 - 261 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 34 TYPICAL VARIES
Usage of 'and' per 1000 words 12 - 49 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-21 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'of' per 1000 words 2 - 42 TYPICAL STEADY
Usage of 'on' per 1000 words 0-21 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 19 - 70 TYPICAL STEADY
Usage of 'to' per 1000 words 6 - 45 TYPICAL STEADY
Usage of 'with' per 1000 words 0-18 per 1k words TYPICAL VARIES
Variety of function words used 43% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 49% HIGH STEADY
Proportion of hashtags in ALL CAPS 9% HIGH VARIES
Proportion of hashtags placed at the end 42% HIGH STEADY
Proportion of hashtags using CamelCase 40% HIGH STEADY
Proportion of hashtags woven into the text 45% HIGH STEADY
Ratio of inline hashtags to end hashtags 0 - 650 HIGH VARIES
Total number of hashtags 0.2 - 7.1 HIGH STEADY
Whether any hashtags are used 78% of posts HIGH STEADY
Whether the opening line contains a hashtag 36% HIGH VARIES
Hashtag density per 100 words 0.0 - 8.8 TYPICAL VARIES
Proportion of hashtags in the opening 13% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 7.7 HIGH VARIES
Whether the hook contains emoji 73% of posts HIGH STEADY
Whether there's a clear opening hook section 57% of posts HIGH STEADY
Negation words in the hook 0.0 - 0.4 LOW VARIES
Use of 'you/your' in the hook 0% LOW STEADY
Whether the hook contains a question 5% of posts LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 152 - 351 TYPICAL STEADY
Character position where the hook ends 152 - 351 TYPICAL STEADY
Hook length relative to total post 52% TYPICAL STEADY
Hook lines relative to total lines 47% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 52% TYPICAL STEADY
Whether there's a blank line after the hook 27% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.1 - 3.1 HIGH STEADY
Blank lines per 100 total lines 33 - 47 HIGH STEADY
Lines containing exactly one sentence 80% HIGH STEADY
Number of visual text blocks 3.1 - 8.9 HIGH STEADY
Percentage of very short lines (<5 words) 20% HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 40% HIGH STEADY
Ratio of lines starting with punctuation 5% HIGH VARIES
Spacing between content-rich lines 1.6 - 2.1 HIGH STEADY
Variation in block sizes 93% HIGH VARIES
Average characters per line 57 - 113 LOW STEADY
Average words per line 9 - 17 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 quotes 0% LOW STEADY
Variation in line lengths 12 - 219 LOW STEADY
Average lines per text block 0.8 - 1.7 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 56% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.7 HIGH VARIES
Use of inline enumeration 2% HIGH VARIES
Variety of emoji used as bullets 6% HIGH VARIES
Whether any list structure is used 20% of posts HIGH VARIES
Whether emoji bullet lists are used 18% of posts HIGH VARIES
Average items per dash/bullet list 9% LOW VARIES
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 - 0.2 LOW VARIES
Number of numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Whether dash/bullet lists are used 2% of posts LOW VARIES
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 21% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.2 TYPICAL VARIES
Count of words used only once 28 - 97 TYPICAL STEADY
How often three-word phrases repeat 73% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.1 TYPICAL VARIES
Length of longest repeated phrase 0.3 - 3.0 TYPICAL STEADY
Number of unique words used 31 - 120 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 -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.1 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.8 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.4 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.7 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 0.0-0.7 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 2% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 43% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 50 HIGH VARIES
Sentences starting with subordinate clauses (%) 2% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 5.0 HIGH VARIES
Whether the closing has emoji clusters 33% HIGH VARIES
Whether the ending includes emoji 65% of posts HIGH STEADY
Closing length relative to total post 48% LOW STEADY
Whether the ending has a call-to-action 19% of posts LOW VARIES
Whether the ending is a question 5% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 121 - 349 TYPICAL STEADY
Whether the closing has a signature phrase 11% of posts TYPICAL VARIES
Whether the ending includes hashtags 65% of posts TYPICAL STEADY
Whether there's a clear closing section 86% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 86% HIGH STEADY
Consecutive short paragraphs 2.2 - 6.9 HIGH STEADY
Total number of paragraphs 3.1 - 8.8 HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
How much paragraph length varies 61% LOW VARIES
Typical paragraph length (median) 0.8 - 1.6 LOW STEADY
Average change in length between paragraphs 56% TYPICAL VARIES
Average sentences per paragraph 0.9 - 1.8 TYPICAL STEADY
Average sentences per paragraph 0.9 - 1.8 TYPICAL STEADY
How frequently new paragraphs start 25 - 125 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 0.9 - 2.8 TYPICAL STEADY
Opening paragraph length vs body average 94% TYPICAL STEADY
Variation in length changes between paragraphs 76% TYPICAL VARIES
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of auxiliary/helper verbs 3% LOW STEADY
Percentage of words that are pronouns 5% LOW STEADY
Balance/distribution of different word types Moderately varied TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 17 - 30 TYPICAL STEADY
Percentage of words that are prepositions 8 - 14 TYPICAL STEADY
Percentage of words that are verbs 10% TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 6 - 36 HIGH STEADY
Average word complexity (syllables per word) 1.5 - 2.0 TYPICAL STEADY
How easy the text is to read (higher = easier) 19 - 62 TYPICAL STEADY
Percentage of complex words (3+ syllables) 14 - 29 TYPICAL STEADY
Total sentence count 1 - 12 TYPICAL STEADY
Total syllables in the post 55 - 298 TYPICAL STEADY
Total word count of the post 29 - 174 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Comma usage per 1000 words 17-93 per 1k words HIGH STEADY
Em dash (—) usage per 1000 words 0-12 per 1k words HIGH VARIES
En dash (–) usage per 1000 words 0-7 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-17 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Semicolon usage per 1000 words 0-3 per 1k words HIGH VARIES
Exclamation marks per 1000 words 0-26 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
Percentage of sentences ending with a question 3% LOW VARIES
Question marks per 1000 words 0-5 per 1k words LOW VARIES
Colon usage per 1000 words 0-44 per 1k words TYPICAL VARIES
Ellipsis (...) usage per 1000 words 0-10 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-25 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 39 TYPICAL VARIES
Quotation mark usage per 1000 words 0-14 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 57 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.9 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 65 LOW VARIES
Lines using past tense 28% TYPICAL STEADY
Number of narrative/story signals 0.3 - 2.1 TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Whether the post contains quotations 28% of posts TYPICAL VARIES
Whether the post tells a story 37% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How often paragraphs contain just one sentence 74% HIGH STEADY
Parenthetical breaks per 1000 words 0 - 23 HIGH VARIES
Average number of clauses per sentence 1.3 - 3.3 TYPICAL STEADY
Average number of words per sentence 8 - 29 TYPICAL STEADY
Average words per sentence 8 - 29 TYPICAL STEADY
How much sentence length varies (normalized) 63% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 43 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 0 - 19 TYPICAL VARIES
Overall sentence complexity 0 - 123 TYPICAL VARIES
Percentage of sentences over 20 words 32% TYPICAL STEADY
Percentage of sentences under 8 words 24% TYPICAL STEADY
Typical sentence length (median) 6 - 28 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.9 TYPICAL VARIES
Variation in sentence lengths 4 - 18 TYPICAL STEADY
Word count of shortest sentence 0 - 18 TYPICAL VARIES
Word count of the longest sentence 19 - 49 TYPICAL STEADY

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